A Novel Predictive Resource Allocation Framework for Cloud Computing

R. Rengasamy, M. Chidambaram
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引用次数: 4

Abstract

Cloud computing is a new paradigm in which computing is offered as services rather than physical products. Computing services are provided by third-party service providers which offer consumers affordable and flexible computing services via shared resources. Cloud providers offer different layers/levels of services to consumers over many types of application domains. Server consolidation is a technique for reducing operating costs of computer resources in virtualization. These expenses can lead to increasement of financial costs of servers, power consumption of servers, data-center cooling systems and labour costs. It is inefficient if there are under-utilized servers that have more space and consume more resources. The proposed method meets the requirements for effective resource allocation for cloud computing. The effectiveness of the proposed method is evaluated and reveals higher performance in cloud computing.
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一种新的云计算预测资源分配框架
云计算是一种新的模式,其中计算作为服务而不是物理产品提供。计算服务由第三方服务提供商提供,它们通过共享资源为消费者提供负担得起的灵活计算服务。云提供商通过许多类型的应用程序域向消费者提供不同的层/级别的服务。服务器整合是一种在虚拟化中降低计算机资源操作成本的技术。这些费用可能导致服务器的财务成本、服务器的功耗、数据中心冷却系统和劳动力成本的增加。如果存在未充分利用的服务器,这些服务器拥有更多的空间并消耗更多的资源,则效率低下。该方法满足云计算对资源有效分配的要求。对该方法的有效性进行了评估,并在云计算中显示出更高的性能。
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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