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Published in 2022 at "IEEE Transactions on Parallel and Distributed Systems"
DOI: 10.1109/tpds.2022.3181096
Abstract: Energy conservation of large data centers for high performance computing workloads, such as deep learning with Big Data, is of critical significance, where cutting down a few percent of electricity translates into million-dollar savings. This…
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Keywords:
heterogeneous clusters;
energy;
task;
gpu ... See more keywords
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Published in 2022 at "IEEE Transactions on Services Computing"
DOI: 10.1109/tsc.2020.2966697
Abstract: Nowadays, energy costs are the most important factor in cloud computing. Therefore, the implementation of energy-aware task scheduling methods is of utmost importance. A task scheduling framework considering deadlines, data locality and resource utilization is…
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Keywords:
heterogeneous clusters;
task scheduling;
task;
energy utilization ... See more keywords