吉林大学学报(工学版) ›› 2015, Vol. 45 ›› Issue (3): 932-937.doi: 10.13229/j.cnki.jdxbgxb201503036

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基于效用最大化协商机制的云媒体资源分配算法

唐瑞春1, 2, 邱悦1, 丁香乾1, 李静1   

  1. 1.中国海洋大学 信息科学与工程学院,山东 青岛 266100;
    2. 海尔数字化家电国家重点实验室,山东 青岛 266101
  • 收稿日期:2013-09-17 出版日期:2015-05-01 发布日期:2015-05-01
  • 作者简介:唐瑞春(1968-),女,教授,博士.研究方向:网络流媒体.
  • 基金资助:
    国家科技支撑计划项目(2012BAH12F02)

Cloud media resource allocation algorithm based on utility maximization negotiation

TANG Rui-chun1, 2, QIU Yue1, DING Xiang-qian1, LI Jing1   

  1. 1.College of Information Science and Engineering, Ocean University of China, Qingdao 266100,China;
    2. State Key Laboratory of Digital Appliances, Qingdao 266101,China
  • Received:2013-09-17 Online:2015-05-01 Published:2015-05-01

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摘要： 针对传统云媒体资源分配算法中没有考虑整体服务满意度和分配效用等因素对算法性能的影响,导致云媒体资源分配服务效率和可应用性不高的问题,引入云媒体服务提供者和云媒体服务请求者的效用函数模型,从服务价格、服务响应时间和服务带宽3个方面对该模型进行统一化描述。利用云媒体服务双方的效用函数值和让步策略,得到最大效用化的云媒体服务资源,并进行协商分配。基于协商机制效用模型,提出了资源分配算法RAANM(Resource allocation algorithm based on negotiation mechanism)。与传统调度算法相比,RAANM算法的云媒体资源分配的目标函数不再是最小化响应时间,而是最大化效用值,进而提高服务满意度。最后通过仿真实例验证了该算法的有效性。

关键词: 云媒体, 资源分配, SLAs协议, 服务效用

Abstract: Traditional cloud media resource allocation algorithm lacks service satisfaction and distribution utility etc, which results in the low efficiency of cloud media allocation and resource availability. In this work, first, the utility function of cloud media service provider and requester is introduced, which is uniformly described in three aspects: price, response time and bandwidth of the service. Then the cloud media resource is negotiatory allocated based on the utility function values of both sides of cloud media service and concession-making strategy, which maximizes the utility of the cloud media service resource. Finally, a Resource Allocation Algorithm based on Negotiation Mechanism (RAANM) is proposed on the basis of the negotiation utility model. Comparing with traditional resource allocation algorithm, RAANM aims to maximize the utility instead of to minimize the longest finishing time, thus to enhance service satisfaction. Simulation results demonstrate the efficiency of the proposed algorithm.

Key words: cloud media, resource allocation, SLAs agreement, service utility

中图分类号: 

  • TP37
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