Research Article
A Fair Cloud Resource Allocation using Data Envelopment Analysis
@ARTICLE{10.4108/icst.qshine.2014.256193, author={Hsin-Hung Cho and Chi-Yuan Chen and Hao-Wen Li and Timothy Shih and Han-Chieh Chao}, title={A Fair Cloud Resource Allocation using Data Envelopment Analysis}, journal={EAI Endorsed Transactions on Cloud Systems}, volume={2}, number={8}, publisher={IEEE}, journal_a={CS}, year={2014}, month={9}, keywords={cloud computing; resource allocation; data envelopment analysis}, doi={10.4108/icst.qshine.2014.256193} }- Hsin-Hung Cho
Chi-Yuan Chen
Hao-Wen Li
Timothy Shih
Han-Chieh Chao
Year: 2014
A Fair Cloud Resource Allocation using Data Envelopment Analysis
CS
EAI
DOI: 10.4108/icst.qshine.2014.256193
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.
Copyright © 2014 H.-Ch. Chao et al., licensed to EAI. This is an open access article distributed under the terms of the Creative Commons Attribution licence (http://creativecommons.org/licenses/by/3.0/), which permits unlimited use, distribution and reproduction in any medium so long as the original work is properly cited.
