NDLI: Scheduling MapReduce tasks on virtual MapReduce clusters from a tenant's perspective

Content Provider	IEEE Xplore Digital Library
Author	Jia-Chun Lin Ming-Chang Lee Yahyapour, R.
Copyright Year	2014
Description	Author affiliation: Dept. of Comput. Sci., Nat. Chiao Tung Univ., Hsinchu, Taiwan (Jia-Chun Lin; Ming-Chang Lee) \|\| GWDG - Gesellschaft fur wissenschaftliche Datenverarbeitung mbH Gottingen, Gottingen, Germany (Yahyapour, R.)
Abstract	Renting a set of virtual private servers (VPSs for short) from a VPS provider to establish a virtual MapReduce cluster is cost-efficient for a company/organization. To shorten job turnaround time and keep data locality as high as possible in this type of environment, this paper proposes a Best-Fit Task Scheduling scheme (BFTS for short) from a tenant's perspective. BFTS schedules each map task to a VPS that can finish the task earlier than the other VPSs by predicting and comparing the time required by every VPS to retrieve the map-input data, execute the map task, and become idle in an online manner. Furthermore, BFTS schedules each reduce task to a VPS that is close to most VPSs that execute the related map tasks. We conduct extensive experiments to compare BFTS with several scheduling algorithms employed by Hadoop. The experimental results show that BFTS is better than the other tested algorithms in terms of map-data locality, reduce-data locality, and job turnaround time. The overhead incurred by BFTS is also evaluated, which is inevitable but acceptable compared with the other algorithms.
Starting Page	141
Ending Page	146
File Size	2246142
Page Count	6
File Format	PDF
ISBN	9781479956661
DOI	10.1109/BigData.2014.7004223
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2014-10-27
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Schedules Map-task scheduling Scheduling algorithms Reduce-task scheduling Data locality Clustering algorithms Optical wavelength conversion Benchmark testing Scheduling Virtual MapReduce cluster Servers MapReduce
Content Type	Text
Resource Type	Article

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