NDLI: A Power-Aware Scheduling of MapReduce Applications in the Cloud

Content Provider	IEEE Xplore Digital Library
Author	Ying Li Hongli Zhang Kyong Hoon Kim
Copyright Year	2011
Abstract	Cloud computing is an emerging computing technology for large data center that maintains computational resources through the internet, rather than on local computers. The large data centers maintain Cloud computing applications with lots of cost because of power consumption, which results in a new research issue, called Green Cloud computing. Since MapReduce is one of popular Cloud computing models, this paper focuses on how to reduce energy of MapReduce applications. Thus, we propose a new power-aware MapReduce application model to be used for power-aware computing with consideration of users' requirements. We also provide a scheduling algorithm for MapReduce applications in heterogeneous Cloud resources and suggest power-aware schemes in order to reduce the total energy. Throughout simulation results, we show that the proposed scheduling algorithm saves more energy than static schemes.
Starting Page	613
Ending Page	620
File Size	547776
Page Count	8
File Format	PDF
ISBN	9781467300063
DOI	10.1109/DASC.2011.111
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2011-12-12
Publisher Place	Australia
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Cloud computing Power demand Computational modeling Biological system modeling Cloud scheduling Mathematical model power-aware Scheduling algorithm MapReduce
Content Type	Text
Resource Type	Article

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