THE ADVANTAGE OF GENETIC ALGORITHM IN ENERGYEFFICIENT SCHEDULING FOR HETEROGENEOUS CLOUD COMPUTING

Journal Title: International journal of research -GRANTHAALAYAH - Year 2016, Vol 4, Issue 7

Abstract

Nowadays Energy Consumption has been a heavy burden on the enterprise cloud computing infrastructure. This paper focuses on the hardware factors in energy consumption. Inspired by DVFS, it proposes a new energy-efficient (EE) model. This paper formulates the scheduling problem and genetic algorithm is applied to obtain higher efficiency value. Simulations are implemented to verify the advantage of genetic algorithm. In addition, the robustness of our strategy is validated by modifying the relevant parameters of the experiment.

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  • EP ID EP210693
  • DOI 10.5281/zenodo.58678
  • Views 71
  • Downloads 0

How To Cite

(2016). THE ADVANTAGE OF GENETIC ALGORITHM IN ENERGYEFFICIENT SCHEDULING FOR HETEROGENEOUS CLOUD COMPUTING. International journal of research -GRANTHAALAYAH, 4(7), 1-9. https://europub.co.uk/articles/-A-210693