The load balancing improvement of a data center by a hybrid algorithm in cloud computing

Y. Fahim, E. Benlahmar, E. Labriji, A. Eddaoui, Sara Ouahabi
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引用次数: 8

Abstract

The static load balancing algorithms, share the client query between virtual machines in a data center for the processing. But, there is a problem when it comes to the current load of each virtual machine. The dynamic algorithms as "Efficient Response Time Load Balancer" and "Mini time processing load balancer" prove to be a solution to respond to this problem. The advantage of these algorithms, before allocating a task, is that they search in the allocation tables on the virtual machine, with a metric which is quite inferior (be it the response time or the processing time). In this paper, we propose a new improvement of the load balancing by our hybrid algorithm, that takes into account, the current load of the virtual machine of a data center and the status of its tasks during execution, in order to overcome the problems caused by the static algorithms. The hybrid algorithm allows cloud service providers, to improve the performance, availability and maximize the use of virtual machines in their data centers.
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云计算中混合算法对数据中心负载均衡的改进
采用静态负载均衡算法,在数据中心内的虚拟机之间共享客户端查询进行处理。但是,当涉及到每个虚拟机的当前负载时,存在一个问题。“高效响应时间负载均衡器”和“小时间处理负载均衡器”的动态算法被证明是解决这一问题的一种方法。这些算法的优点是,在分配任务之前,它们在虚拟机上的分配表中进行搜索,其度量相当低(无论是响应时间还是处理时间)。本文提出了一种基于混合算法的负载均衡算法,该算法考虑了数据中心虚拟机的当前负载和任务在执行过程中的状态,以克服静态算法带来的问题。混合算法允许云服务提供商,提高性能,可用性和最大限度地利用虚拟机在他们的数据中心。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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