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A task scheduling algorithm considering game theory designed for energy management in cloud computing - 2020

A task scheduling algorithm considering game theory designed for energy management in cloud computing

Research Area:  Cloud Computing

Abstract:

With the increasing popularity of cloud computing products, task scheduling problem has become a hot research topic in this field. The task scheduling problem of cloud computing system is more complex than the traditional distributed system. Based on the analysis of cloud computing in related literature, we established a simplified model for task scheduling system in cloud computing.Different from the previous research of cloud computing task scheduling algorithm, the simplified model in this paper is based on game theory as a mathematical tool. Based on game theory, the task scheduling algorithm considering the reliability of the balanced task is proposed. Based on the balanced scheduling algorithm, the task scheduling model for computing nodes is proposed. In the cooperative game model, game strategy is used for the task in the calculation of rate allocation strategy on the node. Through analysis of experimental results, it is shown that the proposed algorithm has better optimization effect.

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Author(s) Name:  Jiachen Yang,Bin Jiang,Zhihan Lv,Kim Kwang Raymond Choo

Journal name:  Future Generation Computer Systems

Conferrence name:  

Publisher name:  Elsevier

DOI:  10.1016/j.future.2017.03.024

Volume Information:  Volume 105, April 2020, Pages 985-992