DocumentCode :
1783915
Title :
Reducing the Power Consumption of Servers with Bandwidth Consideration
Author :
Yu-Chang Lin ; Wei-Tsong Lee ; Jing-Yue Qiu
Author_Institution :
Dept. of Electr. Eng., TamKang Univ., Taipei, Taiwan
fYear :
2014
fDate :
27-29 Aug. 2014
Firstpage :
650
Lastpage :
653
Abstract :
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.
Keywords :
cloud computing; green computing; parallel programming; power aware computing; resource allocation; virtual machines; virtualisation; Amazon; Google; Green Mater resource manager; Hadoop MapReduce; IBM; Microsoft; distributed cloud computing system; job distribution; network bandwidth transmission speed; power-saving effect reduction; resource distribution; server power consumption reduction; task assignment; virtual machine selection; Bandwidth; Benchmark testing; Cloud computing; Green products; Servers; Virtual machining; Virtualization; Bandwidth; Benchmark; Cloud Netwrok; Hadoop; MapReduce;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Intelligent Information Hiding and Multimedia Signal Processing (IIH-MSP), 2014 Tenth International Conference on
Conference_Location :
Kitakyushu
Print_ISBN :
978-1-4799-5389-9
Type :
conf
DOI :
10.1109/IIH-MSP.2014.168
Filename :
6998413
Link To Document :
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