Title: Research of dynamic load balancing based on stimulated annealing algorithm

Authors: Huyin Zhang; Kan Wang

Addresses: Shenzhen Institute of Wuhan University, Shenzhen, Guangdong, China; School of Computer Science, WuHan University, Wuhan, China ' Shenzhen Institute of Wuhan University, Shenzhen, Guangdong, China; School of Computer Science, WuHan University, Wuhan, China

Abstract: This article analyses advantages and shortages of classical load balancing algorithms based on dynamic feed-back on server cluster, and combined stimulated annealing with this strategy to put forward an optimised model of dynamic load balancing. This model uses stimulated annealing algorithm to calculate accurate performance parameters of load information on every service node, then estimates the actual load of nodes by dynamic feed-back, in order to insure a reasonable distribution reasonable of tasks. Experimental result shows that in the case of large amount of requests, this algorithm, in comparison with classical load balancing strategy of dynamic feedback, can effectively reduce response time of tasks and ensure high throughput which could improve the whole system performance.

Keywords: server cluster; load balancing; dynamic feed-back; stimulated annealing; optimisation; algorithm.

DOI: 10.1504/IJES.2018.091777

International Journal of Embedded Systems, 2018 Vol.10 No.3, pp.188 - 195

Received: 20 Jul 2016
Accepted: 02 Nov 2016
Published online: 16 May 2018 *

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