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Entropy 2014, 16(11), 5677-5697; doi:10.3390/e16115677

A Load Balancing Algorithm Based on Maximum Entropy Methods in Homogeneous Clusters

North China Electric Power University, No. 2 Beinong Road, Changping District, Beijing 102206, China
Author to whom correspondence should be addressed.
Received: 17 April 2014 / Revised: 13 October 2014 / Accepted: 23 October 2014 / Published: 30 October 2014
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In order to solve the problems of ill-balanced task allocation, long response time, low throughput rate and poor performance when the cluster system is assigning tasks, we introduce the concept of entropy in thermodynamics into load balancing algorithms. This paper proposes a new load balancing algorithm for homogeneous clusters based on the Maximum Entropy Method (MEM). By calculating the entropy of the system and using the maximum entropy principle to ensure that each scheduling and migration is performed following the increasing tendency of the entropy, the system can achieve the load balancing status as soon as possible, shorten the task execution time and enable high performance. The result of simulation experiments show that this algorithm is more advanced when it comes to the time and extent of the load balance of the homogeneous cluster system compared with traditional algorithms. It also provides novel thoughts of solutions for the load balancing problem of the homogeneous cluster system. View Full-Text
Keywords: entropy; maximum entropy methods (MEM); homogeneous cluster; load balancing; scheduling entropy; maximum entropy methods (MEM); homogeneous cluster; load balancing; scheduling

This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).

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Chen, L.; Wu, K.; Li, Y. A Load Balancing Algorithm Based on Maximum Entropy Methods in Homogeneous Clusters. Entropy 2014, 16, 5677-5697.

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