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Heuristic and fair-queuing based VM load balancing strategy for cloud data centers: A hybrid approach

机译：基于启发式和公平排队的云数据中心VM负载平衡策略：一种混合方法

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摘要

Cloud computing is an integrated service, which provides a new versatile of programming paradigm with a good number of features to dynamically migrate virtualized computing services between physical servers of various cloud data centers. This technology made the users and cloud service providers (CSPs) to manage the loads as per the demand. The effective management of loads in the cloud environment gives a rise to introduce new management methods, which are responsible for equally distributing the incoming workloads among all the available VMs in an effective way for a given period of time. To achieve this requirement various schemes have been proposed. However, many of them are not suitable to find the optimal information about required resources to fulfil the user demands. To accommodate this, in this paper, an approach named heuristic and fair-queuing based VM load balancing (HFQ-LB) has been introduced. With the help of fair-queuing, an efficient strategy has been designed. This configures the number of incoming loads for finding an appropriate VM for the assignment to satisfy the goal, i.e., it maximizes the utilization of resources according to the user demand. With the help of CloudSim, the proposed algorithm is validated in terms of makespan, waiting time, CPU utilization, and VM utilization by creating a multiple number of data centers. The proposed algorithm is also compared with other existing eight algorithms. Experimental results show that the proposed algorithm outperforms these existing algorithms in terms of makespan, waiting time, CPU utilization, and VM utilization.
机译：云计算是一项集成服务，它提供了一种具有多种功能的新型编程范例，可以在各种云数据中心的物理服务器之间动态迁移虚拟化的计算服务。这项技术使用户和云服务提供商（CSP）可以根据需求管理负载。对云环境中负载的有效管理催生了引入新的管理方法的作用，这些方法负责在给定的时间段内以有效方式在所有可用的VM之间平均分配传入的工作负载。为了达到这个要求，已经提出了各种方案。但是，它们中的许多不适合找到有关满足用户需求的所需资源的最佳信息。为了适应这种情况，在本文中，引入了一种称为启发式和基于公平排队的VM负载平衡（HFQ-LB）的方法。在公平排队的帮助下，设计了一种有效的策略。这将配置传入负载的数量，以找到适合分配的VM，以满足目标，即，根据用户需求最大化资源的利用率。在CloudSim的帮助下，通过创建多个数据中心，对所提出的算法进行了有效期，等待时间，CPU利用率和VM利用率方面的验证。将该算法与其他现有的八种算法进行了比较。实验结果表明，该算法在有效期，等待时间，CPU利用率和VM利用率方面均优于现有算法。

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