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A method for virtual machine migration in cloud computing using a collective behavior-based metaheuristics algorithm

机译:一种基于集体行为的元启发式算法的云计算虚拟机迁移方法

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Due to the growth of applications and the integration of new customers into the world of computing systems, computing needs to be changed and to become more powerful and flexible than before. Meanwhile, cloud computing is presented as a model beyond a system that is currently capable of answering most request needs. Flexible infrastructure for cloud computing and virtualization technology provide new features to support business activities. Clouds are a very important topic that used secure management tools for storage, security and securing data centers in a flexible manner. One of the important matters in cloud technologies is virtual machine migration (VMM). There are different ways to implement the VMM, but because of the limitation of resources' energy, energy management is also very important and challenging. Due to the NP-hard nature of this problem, this paper presents an energy-aware VMM engine for cloud computing using the discrete bacterial foraging algorithm as a new collective behavior-based metaheuristics algorithm. The CloudSim simulator is employed to investigate the efficiency of this method. The obtained results have shown that the proposed method improves the energy consumption and the migration count.
机译:由于应用程序的增长以及新客户与计算系统领域的集成,因此需要改变计算,并变得比以前更加强大和灵活。同时,将云计算作为一种模型提供,而不是目前能够满足大多数请求需求的系统。云计算和虚拟化技术的灵活基础架构提供了支持业务活动的新功能。云是一个非常重要的主题,它使用安全管理工具以灵活的方式来存储,安全和保护数据中心。云技术中的重要问题之一是虚拟机迁移(VMM)。实施VMM的方法多种多样,但是由于资源能源的限制,能源管理也非常重要且充满挑战。由于该问题具有NP难性,本文提出了一种用于云计算的能量感知VMM引擎,该引擎使用离散细菌觅食算法作为一种新的基于集体行为的元启发式算法。使用CloudSim模拟器来研究此方法的效率。所得结果表明,该方法改善了能耗和迁移计数。

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