@inproceedings{84642c868d5645308cb115333a01a757,
title = "A simple cluster-scaling policy for MapReduce clouds",
abstract = "Due to the rise of cloud computing, many cloud services have been developed. Google proposed a programming model called MapReduce for processing large amounts of data. After YAHOO! proposed Hadoop, many companies and enterprises have started using this programming model to establish their own cluster for handling large amounts of data.",
keywords = "Cloud Computing, Cluster scaling, MapReduce, Power saving",
author = "Huang, {Sheng Wei} and Shieh, {Ce Kuen} and Lyu, {Syue Ru} and Huang, {Tzu Chi} and Chen, {Chien Sheng} and Ho, {Ping Fan} and Tsai, {Ming Fong}",
year = "2013",
doi = "10.1109/ISWPC.2013.6707441",
language = "English",
isbn = "9781479921843",
series = "2013 International Symposium on Wireless and Pervasive Computing, ISWPC 2013",
booktitle = "2013 International Symposium on Wireless and Pervasive Computing, ISWPC 2013",
note = "2013 International Symposium on Wireless and Pervasive Computing, ISWPC 2013 ; Conference date: 20-11-2013 Through 22-11-2013",
}