Constrained Pricing for Cloud Resource Allocation

Makhlouf Hadji, Wajdi Louati, D. Zeghlache
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引用次数: 29

Abstract

Constrained pricing in a cloud computing environment is addressed using game theory. The objective of the model and the game is to enable cloud providers to maximize their revenue while satisfying users by maximizing their utilities. The users net utility is modeled as a function of resource demand with a corresponding price. The game consists in the cloud provider suggesting differentiated prices according to demand and users updating their requests in view of the proposed price. The objective is to determine the optimal suggested prices by the cloud-provider and the optimal user demands. A theoretical model based on Stackelberg game is proposed and a Stackelberg/Nash equilibrium solution is found. Performance results show that rejecting a certain number of users is not the best decision to select. Cloud provider should deploy the right amount of resources to maintain good reputation while satisfying users' requirements.
云资源分配的约束定价
使用博弈论解决云计算环境中的约束定价问题。该模型和游戏的目标是使云提供商能够最大化其收入,同时通过最大化其效用来满足用户。将用户的净效用建模为具有相应价格的资源需求函数。这个游戏包括云提供商根据需求提出差异化的价格,用户根据提议的价格更新他们的请求。目标是确定云提供商的最佳建议价格和最佳用户需求。提出了一个基于Stackelberg博弈的理论模型,并找到了一个Stackelberg/Nash均衡解。性能结果表明,拒绝一定数量的用户并不是最好的选择。云提供商应该部署适量的资源,以保持良好的声誉,同时满足用户的需求。
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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