Delta扩展:资源可扩展性/终止如何在经济上实现?

Yousri Kouki, Md. Sabbir Hasan, T. Ledoux
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引用次数: 6

摘要

云计算承诺彻底革新资源的容量管理。弹性和规模经济是其区别于传统计算模式的内在因素。良好的容量规划方法是充分利用云弹性的必要因素,但并不充分。本文提出了创新的资源管理策略,以实现云服务容量和质量之间的最佳平衡,同时支持云技术和概念上的限制。其主要思想是根据实例的生命周期(例如初始化时间)或成本等几个标准,精细地控制虚拟机的可伸缩性和终止。使用真实的基础设施(Amazon EC2)和应用程序测试平台对该方法进行了评估。实验结果说明了所提方法的正确性以及可扩展性/终止资源策略的影响。使用Delta Scaling,可以节省多达30%的成本,同时导致的违规次数最少,只有1%。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Delta Scaling: How Resources Scalability/Termination Can Be Taken Place Economically?
Cloud Computing promises to completely revolutionize the capacity management of resources. The elasticity and the economy of scale are the intrinsic elements that dierentiate it from traditional computing paradigm. A good capacity planning method is a necessary factor but not sucient to fully exploit Cloud elasticity. This paper proposes innovative policies for resource management to achieve the optimal balance between capacity and quality of Cloud services while supporting Cloud technical and conceptual limitations. The main idea is to control finely the scalability and the termination of virtual machines in regards of several criteria such as the lifecycle of the instances (e.g. Initialization time) or their cost. The approach was evaluated with a real infrastructure (Amazon EC2) and an application test bed. Experimental results illustrate the soundness of the proposed approach and the impact of scalability/termination resource policies. Using Delta Scaling, the cost saving of as much as 30% can be achieved while causing the minimum number of violations, as small as 1%.
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