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Paper Abstract and Keywords
Presentation 2013-12-20 14:15
MapReduce Job Scheduling Based on Remaining Processing Times
Tatsuma Matsuki, Tetsuya Takine (Osaka Univ.) IN2013-116
Abstract (in Japanese) (See Japanese page) 
(in English) The MapReduce job scheduler implemented in Hadoop is a mechanism to
decide which jobs are assigned to idle resources in Hadoop. In terms
of the average job response time, the performance of the job scheduler strongly depends on the job arrival pattern, which including job sizes (i.e., the amount of required resources) and their arrival order. Because existing schedulers do not utilize information about job sizes, however, those schedulers suffer from severe performance degradation in some arrival patterns. To achieve good performance regardless of arrival patterns, we have to develop schedulers that take account of job sizes. In this article, we propose a scheduler that predicts and utilizes job sizes, especially, remaining processing times of outstanding jobs. We confirm that for various arrival patterns, the proposed scheduler achieves better performance than the existing schedulers, through simulation experiments.
Keyword (in Japanese) (See Japanese page) 
(in English) MapReduce / Hadoop / job scheduling / / / / /  
Reference Info. IEICE Tech. Rep., vol. 113, no. 363, IN2013-116, pp. 101-106, Dec. 2013.
Paper # IN2013-116 
Date of Issue 2013-12-12 (IN) 
ISSN Print edition: ISSN 0913-5685    Online edition: ISSN 2432-6380
All rights are reserved and no part of this publication may be reproduced or transmitted in any form or by any means, electronic or mechanical, including photocopy, recording, or any information storage and retrieval system, without permission in writing from the publisher. Notwithstanding, instructors are permitted to photocopy isolated articles for noncommercial classroom use without fee. (License No.: 10GA0019/12GB0052/13GB0056/17GB0034/18GB0034)
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Conference Information
Committee IN IA  
Conference Date 2013-12-19 - 2013-12-20 
Place (in Japanese) (See Japanese page) 
Place (in English) Hiroshima City Univ. 
Topics (in Japanese) (See Japanese page) 
Topics (in English) Performance Analysis and Simulation, Robustness, Traffic and Throughput Measurement, Quality of Service (QoS) Control, Congestion Control, Overlay Network/P2P, IPv6, Multicast, Routing, DDoS, etc. 
Paper Information
Registration To IN 
Conference Code 2013-12-IN-IA 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) MapReduce Job Scheduling Based on Remaining Processing Times 
Sub Title (in English)  
Keyword(1) MapReduce  
Keyword(2) Hadoop  
Keyword(3) job scheduling  
1st Author's Name Tatsuma Matsuki  
1st Author's Affiliation Osaka University (Osaka Univ.)
2nd Author's Name Tetsuya Takine  
2nd Author's Affiliation Osaka University (Osaka Univ.)
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Speaker Author-1 
Date Time 2013-12-20 14:15:00 
Presentation Time 25 minutes 
Registration for IN 
Paper # IN2013-116 
Volume (vol) vol.113 
Number (no) no.363 
Page pp.101-106 
Date of Issue 2013-12-12 (IN) 

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