Title: Cloud platform load balancing based on bee colony algorithm

Authors: Fan Xue; Zhijian Wu

Addresses: State Key Lab of Software Engineering, Computer School, Wuhan University, Wuhan 430072, China; International Education College, Huanghuai University, Zhumadian 463000, China ' State Key Lab of Software Engineering, Computer School, Wuhan University, Wuhan 430072, China

Abstract: In order to shorten the time needed to execute tasks in cloud system and maximise the utilisation of available resources in the system, this article proposes the cloud platform load balancing design under the background of bee colony algorithm (ABC algorithm). First of all, puts forward the designed mathematical model and then gives the basic algorithm of load balancing based on bee colony algorithm. In addition, in the design of the process, three experiments are respectively carried out. The first set of experiments results show that the result is stochastic and stable and the system overhead will affect the system performance; the second set of experiments results show that there is the presence of outliers, algorithm can guarantee the system to complete the system task implementation within a limited time and the system consumption continuously rises; the third set of experiments results show that the algorithm has stability and independence and the algorithm has stable efficiency in the range that the virtual machine can withstand; if it exceeds the range, the results will be unstable. Overall, the ABC algorithm has an effective implementation effect.

Keywords: bee colony algorithm; cloud platform; load balancing; optimal algorithm; intelligent algorithm.

DOI: 10.1504/IJRIS.2019.098054

International Journal of Reasoning-based Intelligent Systems, 2019 Vol.11 No.1, pp.57 - 64

Received: 30 Jun 2017
Accepted: 28 Nov 2017
Published online: 01 Mar 2019 *

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