A Fair Cloud Resource Allocation using Data Envelopment Analysis

Journal Title: EAI Endorsed Transactions on Cloud Systems - Year 2016, Vol 2, Issue 8

Abstract

Internet technology is advancing with each passing day, the user's demand is also increasing. Of course the users will more concern to quality of service. The vendors must find out a win win method of resource allocation to meet users and itself. Therefore, the resource allocation of cloud computing has become one of hottest topics. In literatures, some researchers have proposed resource allocation methods which include allocation of virtual machines and service classification, etc. However, these methods are based on subjective observations that lead to the overall cloud architecture becomes imbalance. In order to prevent such situation happened, we use the Data Envelopment Analysis (DEA) to solve the imbalance problem. In this paper, our analysis is start from the user's requests, and use the DEA to evaluate the whole cloud parameters. Then we can find out the resource allocation policy which is the most suitable between the users and vendors.

Authors and Affiliations

Hsin-Hung Cho, Chi-Yuan Chen, Hao-Wen Li, Timothy Shih, Han-Chieh Chao

Keywords

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  • EP ID EP45584
  • DOI http://dx.doi.org/10.4108/icst.qshine.2014.256193
  • Views 224
  • Downloads 0

How To Cite

Hsin-Hung Cho, Chi-Yuan Chen, Hao-Wen Li, Timothy Shih, Han-Chieh Chao (2016). A Fair Cloud Resource Allocation using Data Envelopment Analysis. EAI Endorsed Transactions on Cloud Systems, 2(8), -. https://europub.co.uk/articles/-A-45584