This is a complete list of my publications. Most of my publications are available in PDF. Journal papers

MacroServ: a Route Recommendation Service for Large-Scale Evacuations. M. U. S. Khan, O. Khalid, Y. Huang, R. Ranjan, F. Zhang, J. Cao, B. Veeravalli, S. Khan, K. Li, and A. Zomaya. IEEE Trans. Services Computing, 2017.
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Energy Routing Network Structure and Control Mechanism Research for Energy Internet (in Chinese). F. Yang, C. Bai, Z. Qiu, G. Ren, Y. Ming, and J. Cao. J. Frontiers of Computer Science and Technology, 2017.
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Review of Intelligent Power Electronic Device Research (in Chinese). J. Cao, J. Yang, Z. Yuan, K. Wu, T. Fang, and F. Yang. Electric Power Construction, Special Issue on Information and Communication Technologies for Future Energy Internet, 38(5), 10-22, 2017.
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The Energy Access Administration Research Based on a Linkage Routing Network (in Chinese). G. Ren, Y. Gang, H. Hua, F. Yang, C. Bai, Z. Qiu, and J. Cao. J. Computer Research and Development, Special Issue on Energy Internet, 54(4), 695-702, 2017.
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Preface (in Chinese). J. Wang, J. Cao, and W. Sheng. J. Computer Research and Development, Special Issue on Energy Internet, 54(4), 681-682, 2017.
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The Data Analysis in Gravitational Wave Detection. X. Wang, E. Le Bigot, Z. Du, J. Cao, Y. Wang, F. Zhang, Y. Cai, M. Li, Z. Zhu, J. Qian, C. Yin, J. Wang, W. Zhao, Y. Zhang, Z. Liu, D. Blair, L. Ju, C. Zhao, and L. Wen. Chinese Astronomy and Astrophysics, 41(1), 1-31, 2017.
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Large Scale Parallel Computing for Power Signal Effective Values Based on FPGA in Monitoring System of Power Electronic Devices (in Chinese). J. Yang, J. Cao, Z. Yuan, S. Zhang, H. Xie, J. Duan, and L. Li. Proc. of the CSEE, 36(Suppl. 1), 126-131, 2016.
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The Control Method of the New Energy's Power Accession Under the Open Structure of Energy Internet (in Chinese). G. Ren, J. Cao, and Z. Hu. Southern Power System Technology, 10(Suppl. 1), 315-321, 2016.
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Design on the Mid-voltage Dynamic Voltage Restorer with Series Active Power Filter Function (in Chinese). J. Yang, J. Cao, H. Zhang, and J. Le. Electrical Measurement and Instrumentation, 53(9), 105-111, 2016.
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Research on Local-area Energy Internet Control Technology Based on Energy Switches and Energy Routers (in Chinese). J. Wang, Y. Li, Z. Lu, W. Sheng, and J. Cao. Proc. of the CSEE, 36(13), 3433-3439, 2016.
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CAMP: a New Bitmap Index for Data Retrieval in Traffic Archival. Y. Wu, Z. Chen, J. Cao, H. Li, C. Li, Y. Wang, W. Zheng, J. Chang, J. Zhou, Z. Hu, and J. Guo. IEEE Communications Letters, 20(6), 1128-1131, 2016.
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A Fast PLL Algorithm for Dynamic Voltage Restorer During Voltage Imbalance Sag (in Chinese). J. Hu, J. Cao, S. Zhang, J. Yang, Z. Yuan, Z. Hu, S. Yao, and H. Zhang. Southern Power System Technology, 10(5), 87-93, 2016.
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A Review of Observation of Gravitational Waves from a Binary Black Hole Merger (in Chinese). X. Fan, Y. Hu, Z. Du, X. Wang, and J. Cao. Science & Technology Review, 34(3), 39-41, 2016.
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The Data Analysis in Gravitational Wave Detection (in Chinese). X. Wang, E. Le Bigot, Z. Du, J. Cao, Y. Wang, F. Zhang, Y. Cai, M. Li, Z. Zhu, J. Qian, C. Yin, J. Wang, W. Zhao, Y. Zhang, Z. Liu, D. Blair, L. Ju, C. Zhao, and L. Wen. Progress in Astronomy, 34(1), 50-73, 2016.
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COMBAT: a New Bitmap Index Coding Algorithm for Big Data. Y. Wu, Z. Chen, Y. Wen, W. Zheng, and J. Cao. Tsinghua Science and Technology, Special Section on Cloud Computing and Big Data, 21(2), 136-145, 2016.
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Survey of Big Data Analysis Technology for Energy Internet (in Chinese). J. Cao, Z. Yuan, Y. Ming, and H. Zhang. Southern Power System Technology, 9(11), 1-12, 2015.
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Comprehensive Evaluation Method of Transient Power Quality Based on Big Data Analysis (in Chinese). H. Zhang, Z. Zhu, S. Yao, T. Gao, J. Cao, X. Han, and M. Wang. Southern Power System Technology, 9(6), 80-86, 2015.
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Almost Decouplability of any Directed Weighted Network Topology. N. Cai, J. Cao, and M. J. Khan. Physica A: Statistical Mechanics and its Applications, 436, 637-645, 2015.
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Software-defined Information and Communication Technology for Energy Internet (in Chinese). J. Cao, J. Wang, Y. Ming, M. Yang, K. Meng, L. Gao, and C. Lin. Proc. of the CSEE, 35(14), 3649-3655, 2015.
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Review on Information and Communication Key Technologies of Energy Internet (in Chinese). J. Wang, J. Guo, J. Cao, L. Gao, Z. Hu, J. Zhou, Y. Ming, and Z. Fang. Smart Grid, 3(6), 473-485, 2015.
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Information Technology for Energy Internet: a Survey (in Chinese). J. Wang, K. Meng, J. Cao, Z. Cheng, L. Gao, and C. Lin. J. Computer Research and Development, 52(5), 1109-1126, 2015.
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Study on Constructive Method of Chaotic Oscillator based Weak Signal Detection System and Response Speed Thereof (in Chinese). T. Xie, J. Cao, and X. Lian. Computer Engineering and Applications, 51(9), 16-21, 2015.
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An Energy Storage System Smoothing Control Strategy based on Sliding Least Square Algorithm and Battery SOC (in Chinese). T. Xie, J. Cao, T. Gao, X. Lian, and L. Dong. Power System Protection and Control, 43(5), 1-7, 2015.
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Adaptive Workflow Scheduling on Cloud Computing Platforms with Iterative Ordinal Optimization. F. Zhang, J. Cao, K. Hwang, K. Li, and S. U. Khan. IEEE Trans. Cloud Computing, 3(2), 156-168, 2015.
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A Task-level Adaptive MapReduce Framework for Real-time Streaming Data in Healthcare Applications. F. Zhang, J. Cao, S. U. Khan, K. Li, and K. Hwang. Future Generation Computer Systems, Special Section on Software Tools and Techniques for Big Data Computing in Healthcare Clouds, 43-44(2), 149-160, 2015.
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A Survey of Bitmap Index-Compression Algorithms for Big Data. Z. Chen, Y. Wen, J. Cao, W. Zheng, J. Chang, Y. Wu, G. Ma, M. Hakmaoui, and G. Peng. Tsinghua Science and Technology, Special Section on Cloud Computing and Big Data, 20(1), 100-115, 2015.
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Synthetic Control of Power Quality in a City Power Grid (in Chinese). Z. Hu, Y. Han, S. Yao, Z. Huang, J. Cao, H. Zhang, P. Yu, S. Shi, and M. Wang. High Voltage Engineering, 40(Suppl. 2), 1-19, 2014.
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Research on Cleaning Technology for Power Quality Monitoring Data (in Chinese). H. Zhang, Z. Yang, S. Duan, S. Yao, J. Cao, and Y. Xu. High Voltage Engineering, 40(Suppl. 2), 2014.
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Optimal Design of Energy Storage for Unified Power Quality Conditioners (in Chinese). H. Zhang, Z. Zhu, Z. Hu, S. Yao, Z. Huang, S. Shi, X. Han, K. Deng, and J. Cao. High Voltage Engineering, 40(Suppl. 2), 2014.
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A Controllability Synthesis Problem for Dynamic Multi-Agent Systems with Linear High-Order Protocol. N. Cai, J. Cao, and M. J. Khan. Int. J. Control, Automation, and Systems, 12(6), 1366-1371, 2014.
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Evolutionary Scheduling of Dynamic Multitasking Workloads for Big-data Analytics in Elastic Cloud. F. Zhang, J. Cao, W. Tan, S. U. Khan, K. Li, and A. Y. Zomaya. IEEE Trans. Emerging Topics in Computing, 2(3), 338-351, 2014.
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The Laser Interferometer Gravitational Wave Detector (in Chinese). Y. Wang, X. Zhu, J. Liu, Y. Ma, Z. Zhu, J. Cao, Z. Du, X. Wang, J. Qian, C. Yin, Z. Liu, D. Blair, L. Ju, and C. Zhao. Progress in Astronomy, 32(3), 348-382, 2014.
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Energy Internet - an Infrastructure for Cyber-Energy Integration (in Chinese). J. Cao, M. Yang, D. Zhang, Y. Ming, K. Meng, Z. Chen, and C. Lin. Southern Power System Technology, 8(4), 1-10, 2014.
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An Energy Internet and Energy Routers (in Chinese). J. Cao, K. Meng, J. Wang, M. Yang, Z. Chen, W. Li, and C. Lin. SCIENTIA SINICA Informationis, 44(6), 714-727, 2014.
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A Method of Locating Voltage Disturbance Sources Based on FP-Growth Algorithm (in Chinese). Y. Xu, J. Cao, X. Xu, B. Chen, and K. Deng. East China Electric Power, 42(7), 1299-1304, 2014.
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Industrial Feasibility of Medium-voltage High-power Comprehensive Treatment Device for Voltage Sags (in Chinese). H. Zhang, S. Zhang, P. Yu, S. Yao, Z. Huang, S. Shi, Z. Hu, M. Wang, and J. Cao. Smart Grid, 2(7), 9-14, 2014.
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Multi-Objective Scheduling of Many Tasks in Cloud Platforms. F. Zhang, J. Cao, K. Li, S. U. Khan, and K. Hwang. Future Generation Computer Systems, Special Section on Advances in Data-Intensive Modelling and Simulation, 37(7), 309-320, 2014.
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On Controllability Problems of High-Order Dynamical Multi-Agent Systems. N. Cai, J. Cao, M. Liu, and H. Ma. Arab J. Science and Engineering, 39(6), 4261-4267, 2014.
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Swarm Stability Analysis of Nonlinear Dynamical Multi-Agent Systems via Relative Lyapunov Function. N. Cai, J. Cao, H. Ma, and C. Wang. Arab J. Science and Engineering, 39(3), 2427-2434, 2014.
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Node Placement Analysis for Overlay Networks in IoT Applications. Y. Wan, J. Cao, K. He, H. Zhang, P. Yu, S. Yao, and K. Li. Int. J. Distributed Sensor Networks, Special Issue on Advanced Technologies and Communication Solutions for Internet of Things, 427496(12), 2014.
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An Integrated Cyber-Physical Simulation Environment for Smart Grid Applications. Y. Wan, J. Cao, S. Zhang, G. Tu, C. Lu, X. Xu, and K. Li. Tsinghua Science and Technology, Special Section on Smart Grid, 19(2), 133-143, 2014.
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Electricity Services Based Dependability Model of Power Grid Communication Networking. J. Wang, K. Meng, J. Cao, Z. Chen, L. Gao, and C. Lin. Tsinghua Science and Technology, Special Section on Smart Grid, 19(2), 121-132, 2014.
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Mobile Internet Big Data Platform in China Unicom. W. Huang, Z. Chen, W. Dong, H. Li, B. Cao, and J. Cao. Tsinghua Science and Technology, Special Issue on Cloud Computing and Big Data, 19(1), 95-101, 2014.
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Collaborative Network Security in Multi-Tenant Data Center for Cloud Computing. Z. Chen, W. Dong, H. Li, P. Zhang, X. Chen, and J. Cao. Tsinghua Science and Technology, Special Issue on Cloud Computing and Big Data, 19(1), 82-94, 2014.
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Optimal Power Allocation and Load Distribution for Multiple Heterogeneous Multicore Server Processors across Clouds and Data Centers. J. Cao, K. Li and I. Stojmenovic. IEEE Trans. Computers, Special Issue on Cloud of Clouds, 63(1), 45-58, 2014.
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Multiple Signal Classification for Gravitational Wave Burst Search. J. Cao and Z. He. Proc. 3rd Galileo-Xu Guangqi Meeting, Int. J. Modern Physics: Conference Series, 23, 74-81, 2013.
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Application of Machine Learning Algorithms to the Study of Noise Artifacts in Gravitational-wave Data. R. Biswas, L. Blackburn, J. Cao, R. Essick, K. A. Hodge, E. Katsavounidis, K. Kim, Y. Kim, E. Le Bigot, C. Lee, J. J. Oh, S. H. Oh, E. J. Son, Y. Tao, R. Vaulin, and X. Wang. Physical Review D, 88(6), 062003(24), 2013.
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MobSafe: Cloud Computing Based Forensic Analysis for Massive Mobile Applications Using Data Mining. J. Xu, Y. Yu, Z. Chen, B. Cao, W. Dong, Y. Guo, and J. Cao. Tsinghua Science and Technology, Special Issue on Data Mining and Knowledge Discovery, 18(4), 418-427, 2013.
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TIFAflow: Enhancing Traffic Archiving System with Flow Granularity for Forensic Analysis in Network Security. Z. Chen, L. Ruan, J. Cao, Y. Yu, and X. Jiang. Tsinghua Science and Technology, Special Issue on Data Mining and Knowledge Discovery, 18(4), 406-417, 2013.
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Design and Implementation of a Battery Management Emulation System (in Chinese). M. Wang, J. Cao, C. Wei, and C. Lu. Smart Grid, 3(3), 59-67, 2013.
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QoS-Aware Virtual Machine Scheduling for Video Streaming Services in Multi-Cloud. W. Chen, J. Cao, and Y. Wan. Tsinghua Science and Technology, Special Section on Cloud Computing, 18(3), 308-317, 2013.
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Optimal Multiserver Configuration for Profit Maximization in Cloud Computing. J. Cao, K. Hwang, K. Li and A. Y. Zomaya. IEEE Trans. Parallel and Distributed Systems, Special Issue on Cloud Computing, 24(6), 1087-1096, 2013.
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Cloud Computing-Based Forensic Analysis for Collaborative Network Security Management System. Z. Chen, F. Han, J. Cao, and S. Chen. Tsinghua Science and Technology, Special Section on Cloud Computing, 18(1), 40-50, 2013.
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Information System Architecture for Smart Grids (in Chinese). J. Cao, Y. Wan, G. Tu, S. Zhang, A. Xia, X. Liu, Z. Chen, and C. Lu. Chinese J. Computers, 36(1), 143-167, 2013.
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Virtual Organization Based Secure Accessing and Sharing in Desktop Clouds (in Chinese). W. Chen, J. Cao, and H. Qian. J. Integration Technology, 1(4), 25-29, 2012.
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Design and Implementation of Dynamic Virtual Organization Management System (in Chinese). S. Cai, J. Cao, and X. Lin. J. Frontiers of Computer Science and Technology, 6(9), 779-787, 2012.
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Dynamic Control of Data Streaming and Processing in a Virtualized Environment. J. Cao, W. Zhang and W. Tan. IEEE Trans. Automation Science and Engineering, 9(2), 365-376, 2012.
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VOMES: a Virtual Organization Membership Evaluation System. J. Cao and Z. Wang. Int. J. Networking and Virtual Organisations, 10(1), 88-108, 2012.
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Real-time Gravitational-wave Burst Search for Multi-messenger Astronomy. J. Cao and J. Li. Int. J. Modern Physics D, 20(10), 2039-2042, 2011.
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Formal Verification of Temporal Properties for Reduced Overhead in Grid Scientific Workflows. J. Cao, F. Zhang, K. Xu, L. Liu, and C. Wu. J. Computer Science and Technology, 26(6), 1017-1030, 2011.
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Performance Improvement of Distributed Systems by Autotuning of the Configuration Parameters. F. Zhang, J. Cao, L. Liu, and C. Wu. Tsinghua Science and Technology, 16(4), 440-448, 2011.
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Provisioning Virtual Resources Adaptively in Elastic Compute Cloud Platforms. F. Zhang, J. Cao, C. Hong, J. J. Mulcahy, and C. Wu. Int. J. Web Services Research, 8(3), 54-69, 2011.
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Redundant Virtual Machines Management in Virtualized Cloud Platform. F. Zhang, J. Cao, C. Hong, L. Liu, and C. Wu. Int. J. Modeling, Simulation, and Scientific Computing, 2(2), 151-168, 2011.
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Grid Resource Management and Scheduling for Data Streaming Applications. W. Zhang, J. Cao, Y. Zhong, L. Liu, and C. Wu. Computing and Informatics, 29, 1001-1028, 2010.
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Fuzzy Allocation of Fine-grained Compute Resources for Grid Data Streaming Applications. W. Zhang, J. Cao, Y. Zhong, L. Liu, and C. Wu. Int. J. Grid and High Performance Computing, 2(4), 1-11, 2010.
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Cost Estimation of Advance Reservations over Queued Jobs: a Quantitative Study. C. Zhao, J. Cao, H. Wu, and F. Zhang. Int. J. Modeling, Simulation, and Scientific Computing, 1(3), 317-332, 2010.
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Concurrent and Storage-Aware Data Streaming for Data Processing Workflows in Grid Environments. W. Zhang, J. Cao, Y. Zhong, L. Liu, and C. Wu. Tsinghua Science and Technology, 15(3), 335-346, 2010.
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Remote Computing Resource Management from Small Devices by Utilising WSRF. S. Huang, M. VanHilst, J. Cao, and J. Mangs. Int. J. Computer Aided Engineering and Technology, Special Issue on Smart Homes: Technologies and Applications, 2(2-3), 199-217, 2010.
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Technology Challenges of Cyberinfrastructure (in Chinese). J. Cao. Int. Academic Development, 5(2), 32-36, 2010.
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Cloud Manufacturing: a New Service-oriented Networked Manufacturing Model (in Chinese). B. Li, L. Zhang, S. Wang, F. Tao, J. Cao, X. Jiang, X. Song, and X. Chai. CIMS, 16(1), 1-8, 2010.
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Performance Prediction and its use in Parallel and Distributed Computing Systems. S. A. Jarvis, D. P. Spooner, H. N. Lin Choi Keung, J. Cao, S. Saini, and G. R. Nudd. Future Generation Computer Systems, Special Section on System Performance Analysis and Evaluation, 22(7), 745-754, 2006.
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Performance-aware Workflow Management for Grid Computing. D. P. Spooner, J. Cao, S. A. Jarvis, L. He, and G. R. Nudd. The Computer J., Special Focus - Grid Performability, 48(3), 347-357, 2005.
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Grid Load Balancing Using Intelligent Agents. J. Cao, D. P. Spooner, S. A. Jarvis, and G. R. Nudd. Future Generation Computer Systems, Special Issue on Intelligent Grid Environment: Principles and Applications, 21(1), 135-149, 2005.
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ARMSim: a Modeling and Simulation Environment for Agent-based Grid Computing. J. Cao. SIMULATION, Special Issue on Modeling and Simulation Applications in Cluster and Grid Computing, 80(4-5), 221-229, 2004.
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Local Grid Scheduling Techniques Using Performance Prediction. D. P. Spooner, S. A. Jarvis, J. Cao, S. Saini and G. R. Nudd. IEE Proceedings - Computers and Digital Techniques, 150(2), 87-96, 2003.
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ARMS: an Agent-based Resource Management System for Grid Computing. J. Cao, S. A. Jarvis, S. Saini, D. J. Kerbyson and G. R. Nudd. Scientific Programming, Special Issue on Grid Computing, 10(2), 135-148, 2002.
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A Transaction Definition Language for Java Application Response Measurement. J. D. Turner, D. P. Spooner, J. Cao, S. A. Jarvis, D. N. Dillenberger and G. R. Nudd. J. Computer Resource Management, 105, 55-65, 2002.
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High Performance Service Discovery in Large-Scale Multi-Agent and Mobile-Agent Systems. J. Cao, D. J. Kerbyson and G. R. Nudd. Int. J. Software Engineering and Knowledge Engineering, Special Issue on Multi-Agent Systems and Mobile Agents, 11(5), 621-641, 2001.
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System Architecture of New CIMS Application Integration Platform (in Chinese). J. Cao, Y. Fan and C. Wu. J. Tsinghua University, 39(7), 68-71, 1999. (also in Proc. 5th China CIMS Conference, Chengdu, PRC, 1998)
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Research of Operation Administration System Agents of Integration Platform (in Chinese). J. Cao, Y. Fan and C. Wu. CIMS, 5(3), 39-43, 1999.
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Flexible Software Systems (in Chinese). J. Cao and Y. Fan. Computer Science, 26(2), 74-77, 1999.
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Collaboration papers

GW151226: Observation of Gravitational Waves from a 22-Solar-Mass Binary Black Hole Coalescence. LIGO Scientific Collaboration and Virgo Collaboration. Physical Review Letters, 116(24), 241103(14), 2016.
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Observation of Gravitational Waves from a Binary Black Hole Merger. LIGO Scientific Collaboration and Virgo Collaboration. Physical Review Letters, 116(6), 061102(16), 2016.
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Enhanced Sensitivity of the LIGO Gravitational Wave Detector by using Squeezed States of Light. LIGO Scientific Collaboration. Nature Photonics, 7(8), 613-619, 2013.
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Search for Gravitational Waves from Binary Black Hole Inspiral, Merger and Ringdown in LIGO-Virgo Data from 2009-2010. LIGO Scientific Collaboration and Virgo Collaboration. Physical Review D, 87(2), 022002(15), 2013.
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Einstein@Home All-sky Search for Periodic Gravitational Waves in LIGO S5 Data. LIGO Scientific Collaboration and Virgo Collaboration. Physical Review D, 87(4), 042001(29), 2013.
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A First Search for Coincident Gravitational Waves and High Energy Neutrinos using LIGO, Virgo and ANTARES Data from 2007. ANTARES collaboration, LIGO Scientific Collaboration and Virgo Collaboration. J. Cosmology and Astroparticle Physics, 13(06), 008(39), 2013.
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Search for Gravitational Waves Associated with Gamma-ray Bursts during LIGO Science Run 6 and Virgo Science Run 2 and 3. LIGO Scientific Collaboration, Virgo Collaboration, M. S. Briggs, V. Connaughton, K. C. Hurley, P. A. Jenke, A. von Kienlin, A. Rau, and X. L. Zhang. The Astrophysical J., 760(1), 12(18), 2012.
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Swift Follow-Up Observations Of Candidate Gravitational-Wave Transient Events. P. A. Evans, J. K. Fridriksson, N. Gehrels, J. Homan, J. P. Osborne, M. Siegel, A. Beardmore, P. Handbauer, J. Gelbord, J. A. Kennea, M. Smith, Q. Zhu, LIGO Scientific Collaboration, and Virgo Collaboration. The Astrophysical J. Supplement Series, 203(2), 28(14), 2012.
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Implications for the Origin of GRB 051103 from LIGO Observations. LIGO Scientific Collaboration. The Astrophysical J., 755(1), 2(8), 2012.
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The Characterization of Virgo Data and Its Impact on Gravitational Wave Searches. LIGO Scientific Collaboration and Virgo Collaboration. Classical and Quantum Gravity, 29(15), 155002(41), 2012.
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All-sky Search for Gravitational-wave Bursts in the Second Joint LIGO-Virgo Run. LIGO Scientific Collaboration and Virgo Collaboration. Physical Review D, 85(12), 122007(15), 2012.
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Upper Limits on a Stochastic Gravitational-wave Background using LIGO and Virgo Interferometers at 600-1000 Hz. LIGO Scientific Collaboration and Virgo Collaboration. Physical Review D, 85(12), 122001(14), 2012.
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Search for Gravitational Waves from Intermediate Mass Binary Black Holes. LIGO Scientific Collaboration and Virgo Collaboration. Physical Review D, 85(10), 102004(13), 2012.
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First Low-Latency LIGO+Virgo Search for Binary Inspirals and their Electromagnetic Counterparts. LIGO Scientific Collaboration and Virgo Collaboration. Astronomy & Astrophysics, 541, A155(12), 2012.
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Search for Gravitational Waves from Low Mass Compact Binary Coalescence in LIGO's Sixth Science Run and Virgo's Science Runs 2 and 3. LIGO Scientific Collaboration and Virgo Collaboration. Physical Review D, 85(8), 082002(12), 2012.
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All-sky Search for Periodic Gravitational Waves in the Full S5 LIGO Data. LIGO Scientific Collaboration and Virgo Collaboration. Physical Review D, 85(2), 022001(19), 2012.
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Implementation and Testing of the First Prompt Search for Gravitational Wave Transients with Electromagnetic Counterparts. LIGO Scientific Collaboration and Virgo Collaboration. Astronomy & Astrophysics, 539, A124(15), 2012.
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Directional Limits on Persistent Gravitational Waves Using LIGO S5 Science Data. LIGO Scientific Collaboration and Virgo Collaboration. Physical Review Letters, 107(27), 271102(9), 2011.
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A Gravitational Wave Observatory Operating beyond the Quantum Shot-noise Limit. LIGO Scientific Collaboration. Nature Physics, 7(12), 962-965, 2011.
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Beating the Spin-down Limit on Gravitational Wave Emission from the Vela Pulsar. LIGO Scientific Collaboration, Virgo Collaboration, S. Buchner, A. Hotan, and J. Palfreyman. The Astrophysical J., 737(2), 93(16), 2011.
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Search for Gravitational Waves from Binary Black Hole Inspiral, Merger and Ringdown. LIGO Scientific Collaboration and Virgo Collaboration. Physical Review D, 83(12), 122005(20), 2011.
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Search for Gravitational Wave Bursts from Six Magnetars. LIGO Scientific Collaboration and Virgo Collaboration, etc. The Astrophysical J. Letters, 734(2), L35(9), 2011.
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A Search for Gravitational Waves Associated with the August 2006 Timing Glitch of the Vela Pulsar. LIGO Scientific Collaboration and S. Buchner. Physical Review D, 83(4), 042001(13), 2011.
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Calibration of the LIGO Gravitational Wave Detectors in the Fifth Science Run. LIGO Scientific Collaboration. Nuclear Instruments and Methods in Physics Research A, 624(1), 223-240, 2010.
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First Search for Gravitational Waves from the Youngest Known Neutron Star. LIGO Scientific Collaboration. The Astrophysical J., 722(2), 1504-1513, 2010.
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Search for Gravitational Waves from Compact Binary Coalescence in LIGO and Virgo Data from S5 and VSR1. LIGO Scientific Collaboration and Virgo Collaboration. Physical Review D, 82(10), 102001(11), 2010.
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Predictions for the Rates of Compact Binary Coalescences Observable by Ground-based Gravitational-wave Detectors. LIGO Scientific Collaboration, Virgo Collaboration, and K Belczynski. Classical and Quantum Gravity, 27(17), 173001(25), 2010.
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Search for Gravitational-wave Inspiral Signals Associated with Short Gamma-Ray Bursts during LIGO's Fifth and Virgo's First Science Run. LIGO Scientific Collaboration and Virgo Collaboration. The Astrophysical J., 715(2), 1453-1461, 2010.
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Search for Gravitational-wave Bursts Associated with Gamma-ray Bursts using Data from LIGO Science Run 5 and Virgo Science Run 1. LIGO Scientific Collaboration and Virgo Collaboration. The Astrophysical J., 715(2), 1438-1452, 2010.
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All-sky Search for Gravitational-wave Bursts in the First Joint LIGO-GEO-Virgo Run. LIGO Scientific Collaboration and Virgo Collaboration. Physical Review D, 81(10), 102001(20), 2010.
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Searches for Gravitational Waves from Known Pulsars with S5 LIGO Data. LIGO Scientific Collaboration and Virgo Collaboration. The Astrophysical J., 713(1), 671-685, 2010.
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AIGO: a Southern Hemisphere Detector for the Worldwide Array of Ground Based Interferometric Gravitational Wave Detectors. AIGO Collaboration. Classical and Quantum Gravity, 27(8), 084005(12), 2010.
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Status of LCGT. LCGT Collaboration. Classical and Quantum Gravity, 27(8), 084004(8), 2010.
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Search for High Frequency Gravitational Wave Bursts in the First Calendar Year of LIGO's Fifth Science Run. LIGO Scientific Collaboration. Physical Review D, 80(10), 102002(14), 2009.
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Search for Gravitational-wave Bursts in the First Year of the Fifth LIGO Science Run. LIGO Scientific Collaboration. Physical Review D, 80(10), 102001(26), 2009.
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First LIGO Search for Gravitational Wave Bursts from Cosmic (Super)strings. LIGO Scientific Collaboration. Physical Review D, 80(6), 062002(11), 2009.
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Search for Gravitational Wave Ringdowns from Perturbed Black Holes in LIGO S4 Data. LIGO Scientific Collaboration. Physical Review D, 80(6), 062001(9), 2009.
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Search for Gravitational Waves from Low Mass Compact Binary Coalescence in 186 Days of LIGO's Fifth Science Run. LIGO Scientific Collaboration. Physical Review D, 80(4), 047101(8), 2009.
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An Upper Limit on the Stochastic Gravitational-Wave Background of Cosmological Origin. LIGO Scientific Collaboration and Virgo Collaboration. Nature, 460(7258), 990-994, 2009.
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Stacked Search for Gravitational Waves from the 2006 SGR 1900+14 Storm. LIGO Scientific Collaboration. The Astrophysical J. Letters, 701(2), L68-L74, 2009.
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Einstein@Home Search for Periodic Gravitational Waves in Early S5 LIGO Data. LIGO Scientific Collaboration and D. P. Anderson. Physical Review D, 80(4), 042003(14), 2009.
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Observation of a Kilogram-scale Oscillator near its Quantum Ground State. LIGO Scientific Collaboration. New Journal of Physics, 11(7), 073032(13), 2009.
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LIGO: The Laser Interferometer Gravitational-Wave Observatory. LIGO Scientific Collaboration. Reports on Progress in Physics, 72(7), 076901(25), 2009.
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Search for Gravitational Waves from Low Mass Binary Coalescences in the First Year of LIGO's S5 Data. LIGO Scientific Collaboration. Physical Review D, 79(12), 122001(14), 2009.
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All-sky LIGO Search for Periodic Gravitational Waves in the Early S5 Data. LIGO Scientific Collaboration. Physical Review Letters, 102(11), 111102(6), 2009.
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The Einstein@Home Search for Periodic Gravitational Waves in LIGO S4 Data. LIGO Scientific Collaboration. Physical Review D, 79(2), 022001(29), 2009.
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First Joint Search for Gravitational-wave Bursts in LIGO and GEO600 Data. LIGO Scientific Collaboration. Classical and Quantum Gravity, 25(24), 245008(21), 2008.
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Search for Gravitational Wave Bursts from Soft Gamma Repeaters. LIGO Scientific Collaboration, S. Barthelmy, N. Gehrels, K. C. Hurley, and D. Palmer. Physical Review Letters, 101(21), 211102(6), 2008.
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Beating the Spin-down Limit on Gravitational Wave Emission from the Crab Pulsar. LIGO Scientific Collaboration. The Astrophysical J. Letters, 683(1), L45-L49, 2008.
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Search of S3 LIGO Data for Gravitational Wave Signals from Spinning Black Hole and Neutron Star Binary Inspirals. LIGO Scientific Collaboration. Physical Review D, 78(4), 042002(19), 2008.
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Implications for the Origin of GRB 070201 from LIGO Observations. LIGO Scientific Collaboration and K. C. Hurley. The Astrophysical J., 681(2), 1419-1430, 2008.
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Astrophysically Triggered Searches for Gravitational Waves: Status and Prospects. LIGO Scientific Collaboration and Virgo Collaboration. Classical and Quantum Gravity, 25(11), 114051(12), 2008.
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A Joint Search for Gravitational Wave Bursts with AURIGA and LIGO. AURIGA Collaboration and LIGO Scientific Collaboration. Classical and Quantum Gravity, 25(9), 095004(16), 2008.
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Search for Gravitational Waves Associated with 39 Gamma-Ray Bursts Using Data from the Second, Third, and Fourth LIGO Runs. LIGO Scientific Collaboration. Physical Review D, 77(6), 062004(22), 2008.
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Search for Gravitational Waves from Binary Inspirals in S3 and S4 LIGO Data. LIGO Scientific Collaboration. Physical Review D, 77(6), 062002(13), 2008.
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All-sky Search for Periodic Gravitational Waves in LIGO S4 Data. LIGO Scientific Collaboration. Physical Review D, 77(2), 022001(38), 2008.
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Upper Limit Map of a Background of Gravitational Waves. LIGO Scientific Collaboration. Physical Review D, 76(8), 082003(11), 2007.
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Searches for Periodic Gravitational Waves from Unknown Isolated Sources and Scorpius X-1: Results from the Second LIGO Science Run. LIGO Scientific Collaboration. Physical Review D, 76(8), 082001(35), 2007.
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Search for Gravitational-wave Bursts in LIGO Data from the Fourth LSC Science Run. LIGO Scientific Collaboration. Classical and Quantum Gravity, 24(22), 5343-5369, 2007.
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Search for Gravitational Wave Radiation Associated with the Pulsating Tail of the SGR 1806-20 Hyperflare of 27 December 2004 using LIGO. LIGO Scientific Collaboration. Physical Review D, 76(6), 062003(12), 2007.
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Upper Limits on Gravitational Wave Emission from 78 Radio Pulsars. LIGO Scientific Collaboration, M. Kramer, and A. G. Lyne. Physical Review D, 76(4), 042001(20), 2007.
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First Cross-Correlation Analysis of Interferometric and Resonant-Bar Gravitational-Wave Data for Stochastic Backgrounds. LIGO Scientific Collaboration and ALLEGRO Collaboration. Physical Review D, 76(2), 022001(17), 2007.
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Searching for a Stochastic Background of Gravitational Waves with LIGO. LIGO Scientific Collaboration. The Astrophysical J., 659(2), 918-930, 2007.
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Joint LIGO and TAMA300 Search for Gravitational Waves from Inspiralling Neutron Stars. LIGO Scientific Collaboration and TAMA Collaboration. Physical Review D, 73(10), 102002(10), 2006.
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Search for Gravitational Wave Bursts in LIGO's Third Science Run. LIGO Scientific Collaboration. Classical and Quantum Gravity, 23(8), S29-S39, 2006.
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Search for Gravitational Waves from Binary Black Hole Inspirals in LIGO Data. LIGO Scientific Collaboration. Physical Review D, 73(6), 062001(17), 2006.
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Upper Limits from LIGO and TAMA Detectors on the Rate of Gravitational Wave Bursts. LIGO Scientific Collaboration and TAMA Collaboration. Physical Review D, 72(12), 122004(16), 2005.
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ASTROD Optimized for Gravitational Wave Detection: ASTROD-GW. ASTROD Collaboration. Proc. 38th COSPAR Scientific Assembly, Bremen, Germany, 2010.
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ASTROD Optimized for Gravitational Wave Detection: ASTROD-GW (in Chinese). ASTROD Collaboration. Proc. 6th Deep-Space Exploration Annual Meeting, Sanya, China, 2009.
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The Open Science Grid. R. Pordes for the Open Science Grid Consortium. Proc. Computing in High Energy and Nuclear Physics Conf., Interlaken, Switzerland, 2004.
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Conference papers

CODIS: A New Compression Scheme for Bitmap Indexes. W. Zheng, Y. Liu, Z. Chen, and J. Cao. Proc. ACM/IEEE Symp. on Architectures for Networking and Communications Systems, Beijing, China, 2017. (poster)
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An Open Energy Routing Network for Low-Voltage Distribution Power Grid. X. Han, F. Yang, C. Bai, G. Xie, G. Ren, H. Hua, and J. Cao. Proc. 1st IEEE Int. Conf. on Energy Internet, Beijing, China, 320-325, 2017.
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Short Term Load Forecasting Based on IGSA- ELM Algorithm. W. Zhang, H. Hua, and J. Cao. Proc. 1st IEEE Int. Conf. on Energy Internet, Beijing, China, 296-301, 2017.
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Energy Efficient Community Coding and Capacitive Sensing for Space Energy Internet. F. Li, J. Cao, and C. Wang. Proc. 1st IEEE Int. Conf. on Energy Internet, Beijing, China, 210-215, 2017.
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Synchronized Processing of Distributed Signals for Smart Grid Applications. G. Tu, J. Cao, Y. Wan, S. Zhang, C. Lu, and H. Zhang. Proc. 2016 IEEE PES Int. Conf. on Power Systems Technology, Wollongong, NSW, Australia, 2016.
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A New Transient Voltage Stability Prediction Model using Big Data Analysis. B. Zhao, J. Cao, Z. Zhu, and H. Zhang. Proc. 2016 IEEE PES Innovative Smart Grid Technologies Asia Conf., Melbourne, Australia, 1065-1069, 2016.
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Privacy Protection Based on Oblivious Transfer in Content-Centric Networking. R. Chen, Z. Chen, J. Cao, Z. Hu, J. Zhou, and J. Guo. Proc. 6th Int. Conf. on Networking and Distributed Computing, Beijing, China, CCIS 665, 2016.
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Implementation of Clean NDN with Network Virtualization. J. Cao, S. Chen, Z. Chen, G. Ma, Z. Hu, J. Zhou, and J. Guo. Proc. 6th Int. Conf. on Networking and Distributed Computing, Beijing, China, CCIS 665, 2016.
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Underlay Implementation of Named Data Networking. J. Cao, S. Chen, Z. Chen, G. Ma, Z. Yuan, Z. Hu, J. Zhou, and J. Guo. Proc. 6th Int. Conf. on Networking and Distributed Computing, Beijing, China, CCIS 665, 2016.
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BAH: a Bitmap Index Compression Algorithm for Fast Data Retrieval. C. Li, Z. Chen, W. Zheng, Y. Wu, and J. Cao. Proc. 41st IEEE Int. Conf. on Local Computer Networks, Dubai, UAE, 2016.
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MASC: a Bitmap Index Encoding Algorithm for Fast Data Retrieval. Y. Wen, H. Wang, Z. Chen, J. Cao, G. Peng, W. Huang, Z. Hu, J. Zhou, and J. Guo. Proc. 2016 IEEE Int. Conf. on Communications - Symp. Selected Areas in Communications, Kuala Lumpur, Malaysia, 1-6, 2016.
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A Cyber-Physical Modeling and Simulation Environment for Energy Internet. J. Cao, G. Yang, Y. Ming, Z. Hu, and J. Li. Proc. 2016 Global Energy Interconnection Vol. II, Beijing, China, 732-741, 2016.
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Voltage Sag Diagnosis Using Big Data Analysis. B. Zhao, Z. Yuan, J. Cao, H. Zhang, Z. Zhu, and S. Yao. Proc. Int. Conf. on Information Technologies in Education and Learning, conj. 5th Int. Conf. on Networking and Distributed Computing, Hangzhou, China, 113-117, 2015.
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Comprehensive Multi-objective Optimization of Energy Storage Units for Unified Power Quality Conditioners (in Chinese). H. Zhang, Z. Zhu, S. Yao, H. Liu, X. Han, and J. Cao. Proc. Annual Conf. of Chinese Society for Electrical Engineering, Wuhan, China, 2015.
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NDSS: a Named Data Storage System. S. Chen, J. Cao, and L. Zhu. Proc. 2015 IEEE Int. Conf. on Cloud and Autonomic Computing, Cambridge, MA, USA, 196-199, 2015.
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Named Service Networking. S. Chen, J. Cao, and L. Zhu. Proc. 10th IEEE Int. Conf. on Networking, Architecture, and Storage, Boston, MA, USA, 315-320, 2015.
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A General Analytical Model for Spatial and Temporal Performance of Bitmap Index Compression Algorithms in Big Data. Y. Wu, Z. Chen, Y. Wen, J. Cao, W. Zheng, and Ge Ma. Proc. 24th Int. Conf. on Computer Communications and Networks, Las Vegas, NV, USA, 1-10, 2015.
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SPLWAH: a Bitmap Index Compression Scheme for Searching in Archival Internet Traffic. J. Chang, Z. Chen, W. Zheng, J. Cao, Y. Wen, G. Peng, and W. Huang. Proc. 2015 IEEE Int. Conf. on Communications - Communication and Information Systems Security Symp., London, UK, 7089-7094, 2015.
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Power Quality Data Compression Using Principal Component Analysis. H. Zhang, Z. Zhu, S. Yao, B. Zhao, and J. Cao. Proc. 23rd Int. Conf. on Electricity Distribution, Lyon, France, Paper 0458, 2015.
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Clustering based Online Identification of Secondary Dynamic Parameters for Measurement based Composite Load Modeling. S. Zhang, X. Liu, J. Cao, G. Tu, Y. Wan, C. Lu, and Y. Han. Proc. 6th IEEE PES Conf. on Innovative Smart Grid Technologies, Washington DC, USA, 1-5, 2015.
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BreadZip: a Combination of Network Traffic Data and Bitmap Index Encoding Algorithm. G. Ma, Z. Guo, X. Li, Z. Chen, J. Cao, Y. Jiang, and X. Guo. Proc. 2014 IEEE Int. Conf. on Systems, Man and Cybernetics, San Diego, CA, USA, 3235-3240, 2014.
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A Tentative Comparison on CDN and NDN. G. Ma, Z. Chen, J. Cao, Z. Guo, Y. Jiang, and X. Guo. Proc. 2014 IEEE Int. Conf. on Systems, Man and Cybernetics, San Diego, CA, USA, 2893-2898, 2014.
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Optimization of the Power Quality Monitor Number in Smart Grid. Y. Wan, J. Cao, H. Zhang, Z. Zhu, and S. Yao. Proc. 5th IEEE Int. Conf. on Smart Grid Communications, Venice, Italy, 236-241, 2014.
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Transient Power Quality Assessment based on Big Data Analysis. Z. Huang, T. Gao, H. Zhang, X. Han, J. Cao, Z. Hu, S. Yao, and Z. Zhu. Proc. 2014 China Int. Conf. on Electricity Distribution, Shenzhen, China, 1308-1312, 2014.
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Influence Analysis on Start and End Time of Disturbance for Disturbance Identification Based on Lifting Wavelet (in Chinese). H. Zhang, Z. Yang, J. Cao, and M. Wang. Proc. 7th China Symp. on Power Quality, Chengdu, China, 364-372, 2014.
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PLWAH+: A Bitmap Index Compressing Scheme based on PLWAH. J. Chang, Z. Chen, W. Zheng, Y. Wen, J. Cao, and W. Huang. Proc. 10th ACM/IEEE Symp. on Architectures for Networking and Communications Systems, Marina del Rey, CA, USA, 257-258, 2014.
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SECOMPAX: a Bitmap Index Compression Algorithm. Y. Wen, Z. Chen, G. Ma, J. Cao, W. Zheng, G. Peng, S. Li, and W. Huang. Proc. 23rd Int. Conf. on Computer Communication and Networks, Shanghai, China, 1-7, 2014.
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The Design of Regional Compensation DVR in Medium Voltage System. H. Zhang, S. Yao, Z. Zhu, J. Cao, and J. Yang. Proc. 6th Int. Conf. on Electronics and Information Engineering, Beijing, China, in Applied Mechanics and Materials, 654, 146-155, 2014.
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The Design of Filter Parameters of Dynamic Voltage Restorer in Medium Voltage Network. H. Zhang, S. Yao, Z. Zhu, J. Cao, and T. Mao. Proc. 6th Int. Conf. on Electronics and Information Engineering, Beijing, China, in Applied Mechanics and Materials, 654, 133-141, 2014.
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Study on the Feeder Selection method for 10kV Regional Compensation Type Dynamic Voltage Restorer. H. Zhang, S. Yao, Z. Zhu, J. Cao, and Y. Liu. Proc. 3rd Int. Conf. on Automatic Control and Mechatronic Engineering, Xiamen, China, in Applied Mechanics and Materials, 615, 290-297, 2014.
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Energy Saving Analysis of Harmonic Suppression in a Distribution Network. K. Deng, J. Cao, P. Guo, and X. Xu. Proc. 4th Int. Conf. on Networking and Distributed Computing, Hongkong, China, 121-125, 2013.
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From Power Quality to Power Experience. T. Gao, J. Cao, Y. Xu, H. Zhang, P. Yu, and S. Yao. Proc. 4th Int. Conf. on Networking and Distributed Computing, Hongkong, China, 116-120, 2013.
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Data Cleaning for Power Quality Monitoring. Z. Yang, J. Cao, Y. Xu, H. Zhang, P. Yu, and S. Yao. Proc. 4th Int. Conf. on Networking and Distributed Computing, Hongkong, China, 111-115, 2013.
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Energy Internet - Towards Smart Grid 2.0. J. Cao and M. Yang. Proc. 4th Int. Conf. on Networking and Distributed Computing, Hongkong, China, 105-110, 2013.
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Redundant Lifting Wavelet Transform in Power Quality Transient Events Analysis (in Chinese). H. Zhang, Z. Yang, J. Cao, S. Yao, and P. Yu. Proc. Annual Conf. of Chinese Society for Electrical Engineering, Chengdu, China, 2013.
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Quality of Power Experience (in Chinese). H. Zhang, T. Gao, J. Cao, Y. Xu, P. Yu, and S. Yao. Proc. Annual Forum of China Southern Power Grid, Guangzhou, China, 2013.
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Enabling Distributed Computing Systems with elopTM. J. Cao, S. Chen, Y. Wan, and W. Chen. Proc. 3rd Int. Conf. on Networking and Distributed Computing, Hangzhou, China, 49-53, 2012.
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Live Streaming with Content Centric Networking. H. Xu, Z. Chen, R. Chen, and J. Cao. Proc. 3rd Int. Conf. on Networking and Distributed Computing, Hangzhou, China, 1-5, 2012.
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Ordinal Optimized Scheduling of Scientific Workflows in Elastic Compute Clouds. F. Zhang, J. Cao, K. Hwang, and C. Wu. Proc. 3rd IEEE Int. Conf. on Cloud Computing Technology and Science, Athens, Greece, 9-17, 2011.
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Customized Virtual Machines for Software Provisioning in Scientific Clouds. W. Chen, J. Cao, and Z. Li. Proc. 2nd Int. Conf. on Networking and Distributed Computing, Beijing, China, 240-243, 2011.
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Large-scale Real-time Data-driven Scientific Applications. J. Cao and J. Li. Proc. 2nd Int. Conf. on Networking and Distributed Computing, Beijing, China, 116-121, 2011.
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Adaptive Virtual Machine Provisioning in Elastic Multi-tier Cloud Platforms. F. Zhang, J. Cao, H. Cai, J. J. Mulcahy, and C. Wu. Proc. 6th IEEE Int. Conf. on Networking, Architecture, and Storage, Dalian, China, 11-19, 2011.
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How Are You Feeling? A Social Network Model to Monitor the Health of Post-Operative and Remote Patients. J. J. Mulcahy, S. Huang, J. Cao, and F. Zhang. Proc. IEEE Int. Systems Conf., Montreal, Canada, 149-154, 2011.
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AMREF: An Adaptive MapReduce Framework for Real Time Applications. F. Zhang, J. Cao, X. Song, H. Cai, and C. Wu. Proc. 9th Int. Conf. on Grid and Cloud Computing, Nanjing, China, 157-162, 2010.
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Adjacent Matrix based Deduction for Grid Workflow Applications. F. Zhang, J. Cao, L. Liu, and C. Wu. Proc. 1st Int. Conf. on Networking and Distributed Computing, Hangzhou, China, 349-356, 2010.
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Performance Prediction and Evaluation. S. Jarvis, M. Coppola, J. Cao, and D. Kerbyson. Proc. 16th Int. Euro-Par Conf. on Parallel Processing, LNCS 6271 PART 1, 86-87, 2010.
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Development of a DMT Monitor for Statistical Tracking of Gravitational-wave Burst Triggers Generated from the Omega Pipeline. J. Li and J. Cao. Proc. 9th Asia-Pacific Int. Conf. on Gravitation and Astrophysics, Wuhan, China, 92-101, 2010.
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Committee-based Evaluation and Selection of Grid Resources for QoS Improvement. Z. Wang and J. Cao. Proc. 10th IEEE/ACM Int. Conf. on Grid Computing, Banff, Alberta, Canada, 138-144, 2009.
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Fast Autotuning Configurations of Parameters in Distributed Computing Systems Using Ordinal Optimization. F. Zhang, J. Cao, L. Liu, and C. Wu. Proc. 38th Int. Conf. on Parallel Processing Workshops, Vienna, Austria, 190-197, 2009.
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Enhanced Adaptive Scheduling for the Grid Harvest Service. W. Sliamu, Y. Hou, and J. Cao. Proc. WRI World Congress on Software Engineering, Vol. 1, Xiamen, China, 35-39, 2009.
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Block-based Concurrent and Storage-aware Data Streaming for Grid Applications with Lots of Small Files. W. Zhang, J. Cao, Y. Zhong, L. Liu, and C. Wu. Proc. 1st Int. Workshop on Service-Oriented P2P Networks and Grid Systems, conj. 9th IEEE Int. Symp. on Cluster Computing and the Grid, Shanghai, China, 538-543, 2009.
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Enabling Access to WSRF from Mobile Devices. J. C. Mangs, S. Huang, and J. Cao. Proc. 4th Int. Conf. on Semantics, Knowledge and Grid, Beijing, China, 392-395, 2008.
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Agile Data Streaming for Grid Applications. W. Zhang, J. Cao, Y. Zhong, L. Liu, and C. Wu. Proc. 2nd Int. Workshop on Personalization in Grid and Service Computing, conj. 7th Int. Conf. on Grid and Cooperative Computing, Shenzhen, China, 739-746, 2008.
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Qualification Evaluation in Virtual Organizations Based on Fuzzy Analytic Hierarchy Process. F. Zhang, J. Cao, L. Liu, and C. Wu. Proc. 7th Int. Conf. on Grid and Cooperative Computing, Shenzhen, China, 539-547, 2008.
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An Integrated Resource Management and Scheduling System for Grid Data Streaming Applications. W. Zhang, J. Cao, Y. Zhong, L. Liu, and C. Wu. Proc. 9th IEEE/ACM Int. Conf. on Grid Computing, Tsukuba, Japan, 258-265, 2008.
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Storage Aware Resource Allocation for Grid Data Streaming Pipelines. W. Zhang, J. Cao, Y. Zhong, L. Liu, and C. Wu. Proc. 2008 IEEE Int. Conf. on Networking, Architecture, and Storage, Chongqing, China, 179-180, 2008. (short paper)
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Performance Optimization of Temporal Reasoning for Grid Workflows Using Relaxed Region Analysis. K. Xu, J. Cao, L. Liu, and C. Wu. Proc. 22nd IEEE Int. Conf. on Advanced Information Networking and Applications Workshops, GinoWan, Okinawa, Japan, 187-194, 2008.
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Scheduling Remote Access to Scientific Instruments in Cyberinfrastructure for Education and Research. J. Yin, J. Cao, Y. Wang, L. Liu, and C. Wu. Proc. 7th IEEE/ACM Int. Symp. on Cluster Computing and the Grid, Rio de Janeiro, Brazil, 426-433, 2007.
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Grid Enabled LIGO Data Monitoring. J. Cao, E. Katsavounidis, and J. Zweizig. Proc. IEEE/ACM Supercomputing Conf., Seattle, WA, USA, 2005. (poster, also as LIGO Document No. G050573-00-E, 2005)
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Self-Organizing Agents for Grid Load Balancing. J. Cao. Proc. 5th IEEE/ACM Int. Workshop on Grid Computing, conj. Supercomputing Conf., Pittsburgh, PA, USA, 388-395, 2004. (also as Technical Report LR-04-205, NEC Corporation, 2004)
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A Finite Element Based Tool Chain for the Planning and Simulation of Maxillo-Facial Surgery. J. G. Schmidt, G. Berti, J. Fingberg, J. Cao, and G. Wollny. Proc. 4th European Congress on Computational Methods in Applied Sciences and Engineering, Jyvaskyla, Finland, 2004. (also as Technical Report LR-04-197, NEC Corporation, 2004)
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Queue Scheduling and Advance Reservations with COSY. J. Cao and F. Zimmermann. Proc. 18th IEEE Int. Parallel & Distributed Processing Symp., Santa Fe, NM, USA, 63, 2004. (also as Technical Report LR-03-189, NEC Corporation, 2003)
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Implementation of Grid-enabled Medical Simulation Applications Using Workflow Techniques. J. Cao, J. Fingberg, G. Berti, and J. G. Schmidt. Proc. 2nd Int. Workshop on Grid and Cooperative Computing, Shanghai, China, LNCS 3032, 34-41, 2003. (also as Technical Report LR-03-185, NEC Corporation, 2003)
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GridFlow: Workflow Management for Grid Computing. J. Cao, S. A. Jarvis, S. Saini and G. R. Nudd. Proc. 3rd IEEE/ACM Int. Symp. on Cluster Computing and the Grid, Tokyo, Japan, 198-205, 2003.
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Agent-Based Grid Load Balancing Using Performance-Driven Task Scheduling. J. Cao, D. P. Spooner, S. A. Jarvis, S. Saini and G. R. Nudd. Proc. 17th IEEE Int. Parallel & Distributed Processing Symp., Nice, France, 49, 2003.
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Performance Prediction and its use in Parallel and Distributed Computing Systems. S. A. Jarvis, D. P. Spooner, H. N. Lin Choi Keung, J. Cao, S. Saini, and G. R. Nudd. Proc. 2nd Int. Workshop on Performance Modeling, Evaluation, and Optimization of Parallel and Distributed Systems, conj. 17th IEEE Int. Parallel & Distributed Processing Symp., Nice, France, 276, 2003.
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Performance-based Workload Management for Grid Computing. D. P. Spooner, S. A. Jarvis, J. Cao, G. R. Nudd, S. Saini and D. J. Kerbyson. Proc. 3rd Annual Symp. of Los Alamos Computer Science Institute, Santa Fe, NM, USA, 2002.
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Grid Information Services Using Software Agents. H. N. Lin Choi Keung, J. Cao, D. P. Spooner, S. A. Jarvis and G. R. Nudd. Proc. 18th Annual UK Performance Engineering Workshop, Glasgow, UK, 187-198, 2002.
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Localised Workload Management using Performance Prediction and QoS Contracts. D. P. Spooner, J. Cao, J. D. Turner, H. N. Lin Choi Keung, S. A. Jarvis and G. R. Nudd. Proc. 18th Annual UK Performance Engineering Workshop, Glasgow, UK, 69-80, 2002.
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Agent-based Resource Management for Grid Computing. J. Cao, D. P. Spooner, J. D. Turner, S. A. Jarvis, D. J. Kerbyson, S. Saini and G. R. Nudd. Proc. 2nd Int. Workshop on Agent based Cluster and Grid Computing, conj. 2nd IEEE/ACM Int. Symp. on Cluster Computing and the Grid, Berlin, Germany, 350-351, 2002. (short paper)
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Performance Prediction Technology for Agent-based Resource Management in Grid Environments. J. Cao, S. A. Jarvis, D. P. Spooner, J. D. Turner, D. J. Kerbyson and G. R. Nudd. Proc. 11th IEEE Heterogeneous Computing Workshop, conj. 16th IEEE Int. Parallel & Distributed Processing Symp., Fort Lauderdale, FL, USA, 86, 2002.
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Use of Agent-based Service Discovery for Resource Management in Metacomputing Environment. J. Cao, D. J. Kerbyson and G. R. Nudd. Proc. 7th Int. Euro-Par Conf., Manchester, UK, LNCS 2150, 882-886, 2001. (research note)
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Application Characterisation Using a Lightweight Transaction Model. D. P. Spooner, J. D. Turner, J. Cao, S. A. Jarvis and G. R. Nudd. Proc. 17th Annual UK Performance Engineering Workshop, Leeds, UK, 215-225, 2001.
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Performance Evaluation of an Agent-Based Resource Management Infrastructure for Grid Computing. J. Cao, D. J. Kerbyson and G. R. Nudd. Proc. 1st IEEE/ACM Int. Symp. on Cluster Computing and the Grid, Brisbane, Australia, 311-318, 2001.
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Dynamic Application Integration Using Agent-Based Operational Administration. J. Cao, D. J. Kerbyson and G. R. Nudd. Proc. 5th Int. Conf. on the Practical Application of Intelligent Agents and Multi-Agent Technology, Manchester, UK, 393-396, 2000.
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Performance Modeling of Parallel and Distributed Computing Using PACE. J. Cao, D. J. Kerbyson, E. Papaefstathiou and G. R. Nudd. Proc. 19th IEEE Int. Performance, Computing and Communications Conf., Phoenix, AZ, USA, 485-492, 2000.
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Agent-Aided Software Engineering of High Performance Applications. J. Cao. Proc. 12th Int. Conf. on Software & Systems Engineering and their Applications, Paris, France, 1999.
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Evaluation of Advertising Effectiveness Using Agent-Based Modeling and Simulation. J. Cao. Proc. 2nd UK Workshop of SIG on Multi-Agent Systems, Bristol, UK, 1999.
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Modelling of ASCI High Performance Applications Using PACE. J. Cao, D. J. Kerbyson, E. Papaefstathiou and G. R. Nudd. Proc. 15th Annual UK Performance Engineering Workshop, Bristol, UK, 413-424, 1999.
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Books and theses

Energy Internet and Energy Systems (in Chinese). J. Cao and J. Sun. China Electric Power Press, 2016.
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Big Data Engineering on Internet Traffic (in Chinese). Z. Chen, W. Huang, and J. Cao (Eds.). Tsinghua University Press, 2014.
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Content-Centric Networking (in Chinese). Z. Chen, J. Cao, and H. Yin (Eds.). Tsinghua University Press, 2014.
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Proc. 4th IEEE Int. Conf. on Networking and Distributed Computing. L. Huang, K. K. Lai, J. Cao, and M. Li (Eds.), IEEE Computer Society, 2013.
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Infomation-Centric Networking (in Chinese). Z. Chen and J. Cao (Eds.). Tsinghua University Press, 2013.
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Proc. 2nd Int. Conf. on Networking and Distributed Computing. L. Huang, J. Cao, M. Li, and S. A. Jarvis (Eds.), IEEE Computer Society, 2011.
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Adaptive Query Processing in Data Grids. C. Zhao, J. Cao, H. Wu, W. Chen, X. Sun, W. Zhang, and Y. Hou. In N. Antonopoulos, G. Exarchakos, M. Li, and A. Liotta (Eds.), Handbook of Research on P2P and Grid Systems for Service-Oriented Computing: Models, Methodologies and Applications, IGI Global, 382-395, 2010.
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Cyberinfrastructure Technologies and Applications. J. Cao (Ed.), Nova Science Publishers, 2009.
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Federal Management of Virtual Organizations with Trust Evaluation. Z. Wang and J. Cao. In J. Cao (Ed.), Cyberinfrastructure Technologies and Applications, Nova Science Publishers, 223-241, 2009.
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From Enabling to Ensuring Grid Workflows. J. Cao, F. Zhang, K. Xu, L. Liu, and C. Wu. In L. Wang, J. Chen and W. Jie (Eds.), Quantitative Quality of Service for Grid Computing: Applications for Heterogeneity, Large-Scale Distribution and Dynamic Environments, IGI Global, 46-73, 2009.
[ PDF ]

Grid Data Streaming. W. Zhang, J. Cao, L. Liu, and C. Wu. In J. Wong (Ed.), Grid Computing Research Progress, Nova Science Publishers, 267-290, 2008.
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Performance Prediction Techniques for Large-Scale Distributed Environments. S. A. Jarvis, D. P. Spooner, G. R. Mudalige, J. Cao, and G. R. Nudd. In M. Ould-Khaoua and G. Min (Eds.), Performance Evaluation of Parallel, Distributed and Emergent Systems (Volume 1 in Distributed, Cluster and Grid Computing), Nova Science Publishers, 269-288, 2007.
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Performance Evaluation of Self-Organizing Agents for Grid Computing. J. Cao. In M. Ould-Khaoua and G. Min (Eds.), Performance Evaluation of Parallel, Distributed and Emergent Systems (Volume 1 in Distributed, Cluster and Grid Computing), Nova Science Publishers, 207-221, 2007.
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A Case Study on the Use of Workflow Technologies for Scientific Analysis: Gravitational Wave Data Analysis. D. A. Brown, P. R. Brady, A. Dietz, J. Cao, B. Johnson, and J. McNabb. In I. J. Taylor, D. Gannon, E. Deelman and M. S. Shields (Eds.), Workflows for e-Science: Scientific Workflows for Grids, Springer Verlag, 39-59, 2007.
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Multi-Agent Systems: Theories, Methods and Applications (in Chinese). Y. Fan and J. Cao (Eds.). Tsinghua University Press / Springer Verlag, 2002.
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Agent-based Resource Management for Grid Computing. J. Cao. PhD Thesis, University of Warwick, 2001. (also published by VDM Verlag Dr. Muller, 2011)
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Object-oriented Modelling, Analysis and Design of Complex Systems (in Chinese). Y. Fan and J. Cao. Tsinghua University Press / Springer Verlag, 2000.
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Flexible Software Systems (in Chinese). J. Cao. MSc Thesis, Tsinghua University, 1998.
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BMCST-MIS Acknowlege Subsystem Analysis and Design (in Chinese). J. Cao. BSc Thesis, Tsinghua University, 1996.

Patents

Hybrid Multi-Tenancy Cloud Platform. F. Zhang and J. Cao. PCT/CN2012/072537; US9003502, Apr 7, 2015.

Gray Forecasting Model-based Recommending Method and System. F. Xie, Z. Chen, and J. Cao. CN201210167851, Oct 22, 2014.

Device Discovery in a Ubiquitous Computing Environment . J. Cao and Z. Wang. PCT/CN2010/079911; US8850021, Sep 30, 2014.

Dispatching Method for Working Load of Elastic Cloud Computing Platform. J. Cao and F. Zhang. CN201210048342, Sep 24, 2014.

Routing Method of Content-Centric Network Strategy Layer. Y. Tian, Z. Chen, and J. Cao. CN201210107033, Sep 3, 2014.

Triple Parity Encoding to Facilitate Data Recovery. J. Cao and X. Lin. PCT/CN2011/081693; US8645751, Feb 4, 2014.

Data Usage Forecast of Mobile Network. J. Cao and G. Tu. PCT/CN2011/076900; US8600346, Dec 3, 2013; CN201180072121, May 6, 2015.

Method for Improving Performance Tuning Speed of Distributed System. J. Cao and F. Zhang. CN200910088225, Nov 14, 2012.