A Load Balancing Algorithm based on the Variation Trend of Entropy in Homogeneous Cluster

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Provided by: Science & Engineering Research Support soCiety (SERSC)
Topic: Big Data
Format: PDF
In order to solve the problems of ill-balanced task allocation, long response time, low throughput rate and poor performance, which appeared in cluster system, this paper proposes a new load balancing algorithm of homogeneous cluster based on the variation trend of entropy. In this paper, the authors introduces the thermodynamic concept of entropy into load balancing algorithm and gives a new algorithm, so that they can calculate the entropy of the system to ensure that each scheduling and migration toward the entropy increasing tendency.
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