A Game Theory Approach to Fair and Efficient Resource Allocation in Cloud Computing

Xin Xu; Huiqun Yu

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A Game Theory Approach to Fair and Efficient Resource Allocation in Cloud Computing

机译：云计算中公平有效资源分配的博弈论方法

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On-demand resource management is a key characteristic of cloud computing. Cloud providers should support the computational resource sharing in a fair way to ensure that no user gets much better resources than others. Another goal is to improve the resource utilization by minimizing the resource fragmentation when mapping virtual machines to physical servers. The focus of this paper is the proposal of a game theoretic resources allocation algorithm that considers the fairness among users and the resources utilization for both. The experiments with an FUGA implementation on an 8-node server cluster show the optimality of this algorithm in keeping fairness by comparing with the evaluation of the Hadoop scheduler. The simulations based on Google workload trace demonstrate that the algorithm is able to reduce resource wastage and achieve a better resource utilization rate than other allocation mechanisms.

机译：按需资源管理是云计算的关键特征。云提供商应以公平的方式支持计算资源共享，以确保没有用户能获得比其他用户更好的资源。另一个目标是通过将虚拟机映射到物理服务器时最大程度地减少资源碎片来提高资源利用率。本文的重点是提出一种博弈论的资源分配算法，该算法考虑了用户之间的公平性以及两者的资源利用率。通过在8节点服务器群集上使用FUGA实现的实验，通过与Hadoop调度程序的评估进行比较，证明了该算法在保持公平性方面的最优性。基于Google工作负载跟踪的仿真表明，与其他分配机制相比，该算法能够减少资源浪费并获得更高的资源利用率。

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《Mathematical Problems in Engineering》 |2014年第8期|915878.1-915878.14|共14页
作者
Xin Xu; Huiqun Yu;
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Department of Computer Science and Engineering, East China University of Science and Technology, Shanghai 200237, China;

Department of Computer Science and Engineering, East China University of Science and Technology, Shanghai 200237, China;

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1. A Game Theory Approach to Fair and Efficient Resource Allocation in Cloud Computing [J] . XinXu, HuiqunYu Mathematical Problems in Engineering: Theory, Methods and Applications . 2014,第5期

机译：云计算中公平有效资源分配的博弈论方法
2. An efficient green computing fair resource allocation in cloud computing using modified deep reinforcement learning algorithm [J] . Karthiban K., Raj Jennifer S. Soft computing: A fusion of foundations, methodologies and applications . 2020,第19期

机译：用改进的深增强学习算法在云计算中的高效绿色计算公平资源配置
3. A game-theoretic method of fair resource allocation for cloud computing services [J] . Guiyi Wei, Athanasios V. Vasilakos, Yao Zheng, The Journal of Supercomputing . 2010,第2期

机译：云计算服务公平资源分配的博弈论方法
4. Efficient Nash equilibrium resource allocation based on game theory mechanism in cloud computing by using auction [C] . Amin Nezarat, Gh Dastghaibifard International Conference on Next Generation Computing Technologies . 2015

机译：拍卖中基于博弈论机制的高效纳什均衡资源分配
5. Centralized and Decentralized Methods of Efficient Resource Allocation in Cloud Computing. [D] . Yang, Su Seon. 2016

机译：云计算中高效资源分配的集中式和分散式方法。
6. Efficient Nash Equilibrium Resource Allocation Based on Game Theory Mechanism in Cloud Computing by Using Auction [O] . Amin Nezarat, GH Dastghaibifard -1

机译：拍卖中基于博弈论机制的高效纳什均衡资源分配
7. A Game Theory Approach to Fair and Efficient Resource Allocation in Cloud Computing [O] . Xin Xu, Huiqun Yu 2014

机译：云计算公正有效资源分配的博弈论方法

A Game Theory Approach to Fair and Efficient Resource Allocation in Cloud Computing

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