Reducing the Power Consumption of Servers with Bandwidth Consideration

doi:10.1109/IIH-MSP.2014.168

淡江大學機構典藏 > 工學院 > 電機工程學系暨研究所 > 會議論文 > Item 987654321/100914

jsp.display-item.identifier=請使用永久網址來引用或連結此文件: https://tkuir.lib.tku.edu.tw/dspace/handle/987654321/100914

题名:	Reducing the Power Consumption of Servers with Bandwidth Consideration
作者:	Lin, Yu-Chang;Lee, Wei-Tsong;Qiu, Jing-Yue
贡献者:	淡江大學電機工程學系
关键词:	Hadoop;MapReduce;Benchmark;Cloud Netwrok;Bandwidth
日期:	2014-08-27
上传时间:	2015-03-17 13:46:14 (UTC+8)
摘要:	In recent years, cloud computing systems become more and more mature and cloud computing system applications are becoming more widespread. Microsoft, Google, IBM, Amazon has developed applications for the cloud computing environment. The cloud computing environment like a large pool of resources, MapReduce distribute resources in this resource pool to achieve cloud computing. Hadoop MapReduce is a distributing cloud computing system, more and many user this cloud computing system. Green Mater[1] is a resource manager in a cloud computing system which is based on Hadoop MapReduce, Green Master[1] distribute jobs out to the virtual machines with higher computing performance rather than that with lower computing performance. Green Master[2] select virtual machines which have higher performance and assign tasks and reducing virtual machines achieves power-saving effect. This paper focuses on adding network bandwidth in Green Master, we consider the transmission speed of network bandwidth into Green Master and filter out three appropriate virtual machines, and those virtual machines have better performance than Green Master select.
DOI:	10.1109/IIH-MSP.2014.168
显示于类别:	[電機工程學系暨研究所] 會議論文

文件中的档案:

档案	描述	大小	格式	浏览次数
Reducing the Power Consumption of Servers with Bandwidth Consideration.pdf		671Kb	Adobe PDF	465	检视/开启

在機構典藏中所有的数据项都受到原著作权保护.

TAIR相关文章

数据加载中.....