Cluster Computing

, Volume 22, Supplement 1, pp 513–520 | Cite as

An effective task scheduling algorithm based on dynamic energy management and efficient resource utilization in green cloud computing environment

  • Yong LuEmail author
  • Na Sun


With the expanding of its scale and the energy cost factors being ignored in green cloud computing, the problem of high energy cost and low efficiency is exposed. Based on the concepts and principles of load balancing, a novel energy-efficient load balancing global optimization algorithm, called resource-aware load balancing clonal algorithm for task scheduling, is proposed to deal with the problem of energy consumption in green cloud computing. Firstly, the problem is formulated as a combinatorial optimization problem that aims to optimize both energy consumption and load balancing. Then, the resource-aware scheduling algorithm is proposed based on load balancing strategy and clonal selection principle. Finally, simulation studies show that the proposed algorithm can effectively reduce energy consumption in green cloud computing, and its exploration and exploitation abilities can be enhanced and well balanced.


Green cloud computing Energy consumption constraint Data centers Combinatorial optimization problem Clonal selection resource scheduling algorithm 



This work is supported by the project of the First-Class University and the First-Class Discipline(10301-017004011501), and the National Natural Science Foundation of China.


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Copyright information

© Springer Science+Business Media, LLC 2017

Authors and Affiliations

  1. 1.School of Information EngineeringMinzu University of ChinaBeijingChina

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