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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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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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

CLC Number: 

  • TP37
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