@inproceedings{67918ee1370d4926bb315a360137f88c,
title = "A fair cloud resource allocation using data envelopment analysis",
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.",
keywords = "Cloud Computing, Data Envelopment Analysis, Resource Allocation",
author = "Cho, {Hsin Hung} and Li, {Hao Wen} and Chao, {Han Chieh} and Chen, {Chi Yuan} and Shih, {Timothy K.}",
note = "Publisher Copyright: {\textcopyright} 2014 ICST.; 10th International Conference on Heterogeneous Networking for Quality, Reliability, Security and Robustness, QSHINE 2014 ; Conference date: 18-08-2014 Through 20-08-2014",
year = "2014",
month = oct,
day = "17",
doi = "10.1109/QSHINE.2014.6928656",
language = "???core.languages.en_GB???",
series = "Proceedings of the 2014 10th International Conference on Heterogeneous Networking for Quality, Reliability, Security and Robustness, QSHINE 2014",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "31--36",
booktitle = "Proceedings of the 2014 10th International Conference on Heterogeneous Networking for Quality, Reliability, Security and Robustness, QSHINE 2014",
}