计算机应用 ›› 2016, Vol. 36 ›› Issue (10): 2692-2697.DOI: 10.11772/j.issn.1001-9081.2016.10.2692

• 先进计算 • 上一篇    下一篇

云环境下能耗感知的公平性提升资源调度策略

薛胜军1,2, 邱爽1,2, 许小龙3   

  1. 1. 南京信息工程大学 计算机与软件学院, 南京 210044;
    2. 江苏省网络监控中心(南京信息工程大学), 南京 210044;
    3. 计算机软件新技术国家重点实验室(南京大学), 南京 210023
  • 收稿日期:2016-04-14 修回日期:2016-05-26 出版日期:2016-10-10 发布日期:2016-10-10
  • 通讯作者: 邱爽,E-mail:13813953451@163.com
  • 作者简介:薛胜军(1956—),男,山东青岛人,教授,博士生导师,博士,CCF会员,主要研究方向:计算机网络、云计算、应用气象;邱爽(1992—),女,江苏南京人,硕士研究生,主要研究方向:云计算、资源调度;许小龙(1988—),男,江苏海安人,博士研究生,主要研究方向:云计算、绿色计算。
  • 基金资助:
    国家自然科学基金资助项目(41275116)。

Energy-aware fairness enhanced resource scheduling method in cloud environment

XUE Shengjun1,2, QIU Shuang1,2, XU Xiaolong3   

  1. 1. School of Computer and Software, Nanjing University of Information Science and Technology, Nanjing Jiangsu 210044, China;
    2. Jiangsu Engineering Center of Network Monitoring (Nanjing University of Information Science and Technology), Nanjing Jiangsu 210044, China;
    3. State Key Laboratory for Novel Software Technology (Nanjing University), Nanjing Jiangsu 210023, China
  • Received:2016-04-14 Revised:2016-05-26 Online:2016-10-10 Published:2016-10-10
  • Supported by:
    BackgroundThis work is partially supported by the National Natural Science Foundation of China (41275116).

摘要: 针对云计算环境下大量的能源消耗和一些用户非法占有计算资源的问题,为了节约资源,同时提高系统的公平性,使所有用户能合理地使用数据中心的所有资源,提出一种基于能耗感知的节能公平的资源调度算法(FGRSA)。该算法能高效调度各种类型的资源使所有资源使用量达到一个相对的公平。通过CloudSim仿真平台,对提出的调度策略进行仿真实验。实验结果表明,与Greedy算法和Round Robin算法相比,FGRSA能够在大幅度降低系统能耗的同时,保证各类型资源的公平使用。

关键词: 云计算, 资源调度, 能耗模型, 公平性, 多类型资源

Abstract: To address the problems of large energy consumption and illegal possession of computing resources by users in cloud environment, a new algorithm named Fair and Green Resource Scheduling Algorithm (FGRSA) was proposed to save resources and enhance the fairness of the system, so that all users can reasonably use all the resources in the data center. By using the proposed method, various types of resources can be can scheduled to make use of all resources to achieve relative fairness. The simulation experiments of the proposed scheduling strategy was conducted on CloudSim. Experimental resutls show that, compared with Greedy algorithm and Round Robin algorithm, FGRSA can significantly reduce the energy consumption and simultaneously ensure fair use of all types of resources.

Key words: cloud computing, resource scheduling, energy consumption model, fairness, multi-type resources

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