Two-Level Cooperation in Autonomic Cloud Resource Management

Giang Son Tran, L. Broto, D. Hagimont, A. Tchana
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Abstract

Virtualized cloud infrastructures are becoming very popular as they allow separation of hardware and software management. Infrastructure as a Service (IaaS) is the model providing many advantages to both provider and customer. Minimizing the number of resource (and power consumption) in use is one of the main services that such a cloud model must ensure. This objective can be done either by the customer at the application level (by dynamically sizing the application based on the workload) or by the provider at the virtualization level (by consolidating virtual machines based on the infrastructure's utilization rate). Many research works investigate resource management policies separately at the application level or at the virtualized level. In this paper, we study different strategies for cloud resource management: virtual machine consolidation only, dynamic application sizing only, both policy at the same time (either independent or cooperative). We show that virtual machine consolidation and dynamic application sizing do not fully bring benefits to the cloud provider and customer when being implemented without cooperation. Finally, we propose a cooperative model to improve the efficiency of these strategies, in reducing power consumption and keeping application's Quality of Service.  Index Terms—cloud computing, cooperative, resource management.
云资源自治管理的两级合作
虚拟化云基础设施正变得非常流行,因为它们允许分离硬件和软件管理。基础设施即服务(IaaS)是一种为提供者和客户提供许多优势的模型。最小化使用中的资源(和功耗)数量是这种云模型必须确保的主要服务之一。这个目标既可以由客户在应用程序级别(通过根据工作负载动态调整应用程序的大小)实现,也可以由提供商在虚拟化级别(通过根据基础设施的利用率整合虚拟机)实现。许多研究工作分别在应用程序级别或虚拟化级别调查资源管理策略。在本文中,我们研究了不同的云资源管理策略:仅虚拟机整合,仅动态应用程序大小,同时使用两种策略(独立或合作)。我们表明,在没有合作的情况下实现虚拟机整合和动态应用程序大小并不能完全为云提供商和客户带来好处。最后,我们提出了一个协作模型来提高这些策略的效率,以降低功耗并保持应用程序的服务质量。索引术语-云计算,合作,资源管理。
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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