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A Modified Black Hole-Based Task Scheduling Technique for Cloud Computing Environment

机译:一种改进的基于黑洞的云计算环境任务调度技术

摘要

The issue of scheduling is one of the most important ones to be considered by providers of the cloud computing in the data center. Using a suitable solution lets the providers of cloud computing use the available resources more. Additionally, the satisfaction of clients is met through provision of service quality parameters. Most of the solutions for this problem aim at one of the service quality factors and in order to achieve this goal, variety of methods are used. Using the algorithm of modified black hole in this paper, a proper solution is presented to tackle the problem of scheduling the affairs in cloud environment. The proposed method reduces makespan, increases degree of load balancing, and improves the resource`s utilization by considering the capability of each virtual machine. We have compared the proposed algorithm with existing task scheduling algorithms. Simulation results indicate that the proposed algorithm makes a good improvement regarding the makespan and amount of resource utilization compared to schedulers based on Random assignment and particle swarm optimization Algorithms.
机译:调度问题是数据中心中云计算提供者要考虑的最重要问题之一。使用合适的解决方案可以使云计算提供商更多地使用可用资源。另外,通过提供服务质量参数来满足客户的满意度。针对该问题的大多数解决方案针对服务质量因素之一,并且为了实现该目标,使用了各种方法。利用本文提出的改进的黑洞算法,提出了解决云环境中事务调度问题的合适方案。所提出的方法通过考虑每个虚拟机的能力来减少制造周期,增加负载平衡程度并提高资源利用率。我们将提出的算法与现有的任务调度算法进行了比较。仿真结果表明,与基于随机分配和粒子群优化算法的调度器相比,该算法在有效期和资源利用率方面都有很好的提高。

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