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The current virtual machine(VM) resources scheduling in cloud computing environment mainly considers the current state of the system but seldom considers system variation and historical data, which always leads to load imbalance of the system. In view of the load balancing problem in VM resources scheduling, this paper presents a scheduling strategy on load balancing of VM resources based on genetic...
Temperature-constraint computing environments are emerging those years, especially in embedding computing. A game theoretic temperature-aware scheduling algorithm for multi-core systems is proposed in this paper, namely, GTFTTS (Generalized Tit-For-Tat Temperature-aware Scheduling). GTFTTS is designed to work in a resource-rich environment where resources always compete for tasks. A generalized Tit-for-Tat...
This paper evaluates new techniques to improve performance, fairness and jitter of workloads consisting of multiple multithreaded applications running on Chip MultiProcessors (CMP). Current thread assignment techniques which are tailored for single-thread applications result in sub-optimal usage of the multiprocessor resources, unfairness between applications and jitter in execution runtimes when...
The following topics are dealt with: parallel algorithms; parallel architecture; scheduling; GPU-based parallel processing; parallel database; and data mining.
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