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Comparison of Probabilistic Optimization Algorithms for Resource Scheduling in Cloud Computing Environment

机译:云计算环境中资源调度概率优化算法的比较

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Cloud Computing has significantly made its landmark in the field of information technology. A concept which initially stood nebulous is now used as a synonym for internet. It has paved a way to increase capacity as well as add capabilities on the fly without investing in new infrastructure, training new personnel, or licensing new software.?Cloud computing in broad sense can be understood as a connected pool of computing resources (including software and hardware) which can eventually be delivered as a service over a network (in broad sense the Internet)?. Resources are available to the user in utility-style infrastructure. However management of resources in a dynamic fashion stands a vast area for researchers. These resources are precisely available at certain fixed times and also for fixed intervals of time. Thus Scheduling of these resources constitutes a major part of resource management. An optimized scheduling of resources is required to maintain separation between users of the resources. In this paper, we discuss various resource scheduling strategies that have been and are being implemented in cloud computing environments. We also propose a comparison among the characteristics features of these resource scheduling algorithms.
机译:云计算在信息技术领域中有显着奠定了标志性。最初站在模糊不清的概念现在用作互联网的同义词。它已经铺平了一种方法来增加能力,并且在不投资新的基础设施,培训新人员或许可新的软件的情况下增加能力。在广泛的意义上可以被理解为连接资源的连接池(包括软件)和硬件)最终可以通过网络作为服务提供(广泛的互联网)?资源可用于Usility风格基础架构中的用户。然而,以动态方式管理资源的资源也适用于研究人员的广阔地区。这些资源在某些固定时间精确提供,也可以用于固定时间间隔。因此,这些资源的调度构成了资源管理的主要部分。需要优化的资源调度来维持资源用户之间的分离。在本文中,我们讨论了已经在云计算环境中实现的各种资源调度策略。我们还提出了这些资源调度算法的特征特征的比较。

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