Efficient variable neighborhood search performance based joint optimization task allocation for multicore processor

With an emphasis on energy and thermal issues, the raw computational speed of these processors can only be harnessed with effective scheduling and mapping tools. Software-based schemes for dynamic power and thermal management (DPM and DTM) can be designed to exploit low level control features such as frequency scaling, clock gating, and sleep states to improve the energy consumption and thermal profile of the system. In this paper variable neighborhood search is evaluated for best global optimization solution. The comparison of various parameters has shown best results.

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