A Game-Theoretic Framework for Resource Sharing in Clouds

Faheem Zafari, K. Leung, D. Towsley, P. Basu, A. Swami
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引用次数: 5

Abstract

Providing resources to different users or applications is fundamental to cloud computing. This is a challenging problem as a cloud service provider may have insufficient resources to satisfy all user requests. Furthermore, allocating available resources optimally to different applications is also challenging. Resource sharing among different cloud service providers can improve resource availability and resource utilization as certain cloud service providers may have free resources available that can be “rented” by other service providers. However, different cloud service providers can have different objectives or utilities. Therefore, there is a need for a framework that can share and allocate resources in an efficient and effective way, while taking into account the objectives of various service providers that results in a multi-objective optimization problem. In this paper, we present a Cooperative Game Theory (CGT) based framework for resource sharing and allocation among different service providers with varying objectives that form a coalition. We show that the resource sharing problem can be modeled as an N–player canonical cooperative game with non-transferable utility (NTU) and prove that the game is convex for monotonic non-decreasing utilities. We propose an $\mathcal{O}\left( N \right)$ algorithm that provides an allocation from the core, hence guaranteeing Pareto optimality. We evaluate the performance of our proposed resource sharing framework in a number of simulation settings and show that our proposed framework improves user satisfaction and utility of service providers.
云资源共享的博弈论框架
向不同的用户或应用程序提供资源是云计算的基础。这是一个具有挑战性的问题,因为云服务提供商可能没有足够的资源来满足所有用户的请求。此外,将可用资源最优地分配给不同的应用程序也是一项挑战。不同云服务提供商之间的资源共享可以提高资源的可用性和资源利用率,因为某些云服务提供商可能拥有可供其他服务提供商"租用"的免费资源。然而,不同的云服务提供商可能有不同的目标或实用程序。因此,需要一种能够以高效和有效的方式共享和分配资源的框架,同时考虑到各种服务提供者的目标,从而导致多目标优化问题。在本文中,我们提出了一个基于合作博弈论(CGT)的框架,用于不同目标的不同服务提供商之间形成联盟的资源共享和分配。我们证明了资源共享问题可以被建模为具有不可转移效用(non-transferable utility, NTU)的n人典型合作博弈,并证明了该博弈对于单调非递减效用是凸的。我们提出了一个$\mathcal{O}\left(N \right)$算法,该算法从核心提供分配,从而保证了帕累托最优性。我们在许多模拟设置中评估了我们提出的资源共享框架的性能,并表明我们提出的框架提高了用户满意度和服务提供者的效用。
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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