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Parallel and Distributed Processing Techniques and Applications

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Table of Contents

Resource Allocation, Scheduling, Energy-Aware Computing + Load-Balancing + Fault-Tolerant Systems; Parallel and Distributed Algorithms and Applications; Mathematical Modeling and Problem Solving - MPS; Grid + Cloud Computing and Supporting Tools + Applications; Systems Software + Programming Models + Threads + Caching + File Systems + Testing and Monitoring Methods; Performance Evaluation, Estimation, and Related Issues; Communication Systems + Networks and Interconnection Networks + Peer-To-Peer Networks Ad-Hoc Networks + Sensor Networks and Applications; Cluster Computing + Multi-Core, GPU, FPGA Processing and Applications; Data-Driven Networking Systems with High Tolerance for Disaster, Fault and Congestion Position and Regular - Communication Systems, Cloud Computing, Reconfigurable Systems, Parallel and Distributed Computing, Scheduling, Architectures, and Applications; Cloud Computing, Optimization, Sensor Networks, Scheduling, and Applications.

About the Author

Hamid R. Arabnia is Professor, Computer Science; Editor-in-Chief, The Journal of Supercomputing (Springer); Elected Fellow, Int'l Society of Intelligent Biological Medicine (ISIBM); The University of Georgia, Department of Computer Science, USA

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