计算机应用 ›› 2013, Vol. 33 ›› Issue (02): 299-307.DOI: 10.3724/SP.J.1087.2013.00299

• 先进计算 •    下一篇

面向云平台的资源分配策略研究

秦志光,柯涛,刘梦娟,王聪   

  1. 电子科技大学 计算机科学与工程学院,成都 611731
  • 收稿日期:2012-08-20 修回日期:2012-09-26 出版日期:2013-02-01 发布日期:2013-02-25
  • 通讯作者: 柯涛
  • 作者简介:秦志光(1956-),男,四川隆昌人,教授,博士生导师,主要研究方向:信息安全;
    柯涛(1989-),男,江西九江人,硕士研究生,主要研究方向:云计算、云存储;
    刘梦娟(1979-),重庆人,副教授,博士,主要研究方向:P2P媒体、延迟容忍网络;
    王聪(1981-),男,山东邹平人,博士研究生,主要研究方向:网络测量。
  • 基金资助:
    国家科技重大专项

Resource allocation strategies for cloud platform

QIN Zhiguang,KE Tao,LIU Mengjuan,WANG Cong   

  1. School of Computer Science and Engineering, University of Electronic Science and Technology of China, Chengdu Sichuan 611731, China
  • Received:2012-08-20 Revised:2012-09-26 Online:2013-02-01 Published:2013-02-25
  • Contact: KE Tao
  • Supported by:
    National Science and Technology Major Project

摘要: 资源分配策略的研究一直是云计算领域研究的热点和难点。针对当前已有的资源分配策略进行了深入调研和分析,首先简要分析了云平台资源分配存在的挑战;然后给出了云平台资源分配的形式化描述;在此基础上,从启发式分配算法、基于经济理论的策略,以及其他分配策略三个方面对当前主流的资源分配策略进行描述,分析其优缺点;最后结合具体指标对主流策略进行了综合比较,并指出未来的研究方向。

关键词: 云计算, 资源分配, 算法策略, 启发式算法, 市场博弈理论, 能量意识

Abstract: Resource allocation strategy has been the hot and difficult research topic in the field of cloud computation. Research and analysis of current resource allocation strategies were carried out. Firstly, the challenges facing cloud platform resource allocation were analyzed. Then the formalization description of cloud platform resource allocation was given. The current mainstream of resource allocation strategies were described from the perspectives of heuristic allocation algorithms, economic theory based strategy, and other allocation strategies, and their advantages and disadvantages were discussed. Finally, a comprehensive comparison of the mainstream strategies based on specific indicators was made, and some future research directions were pointed out.

Key words: cloud computing, resource allocation, algorithm strategy, heuristic algorithm, economic game theory, awareness of energy

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