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    Please use this identifier to cite or link to this item: http://tkuir.lib.tku.edu.tw:8080/dspace/handle/987654321/100914

    Title: Reducing the Power Consumption of Servers with Bandwidth Consideration
    Authors: Lin, Yu-Chang;Lee, Wei-Tsong;Qiu, Jing-Yue
    Contributors: 淡江大學電機工程學系
    Keywords: Hadoop;MapReduce;Benchmark;Cloud Netwrok;Bandwidth
    Date: 2014-08-27
    Issue Date: 2015-03-17 13:46:14 (UTC+8)
    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.
    DOI: 10.1109/IIH-MSP.2014.168
    Appears in Collections:[電機工程學系暨研究所] 會議論文

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