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Paper Abstract and Keywords
Presentation 2011-03-04 14:50
A method to visualize the communication and execution processes of the MapReduce program on large-scale distributed systems
Norihiro Kawasaki, Ichiro Okajima, Satoshi Tanaka (NTT docomo) NS2010-257
Abstract (in Japanese) (See Japanese page) 
(in English) Parallel programs are being executed to analyze large-scale data on large-scale clusters. Since it is common for communication processes to become concentrated on some servers while execution processes become concentrated on other servers, it is difficult to optimize parallel programs. As the cluster size increases, it becomes more important to understand the execution and network statuses of the servers. Of particular difficulty is comprehending execution status. In this report, we propose SphereViz, a visualization tool that makes it easier to tune programs. This tool can show the execution status and communication statuses of many servers simultaneously with the target being a parallel program running on a large-scale cluster. This tool collects the server logs after program execution, restructures the server logs, and shows the server logs in order of time. Since our tool visualizes the servers as balls on a big sphere and sets connections between the racks, and thus the servers in each rack, it can visualize the execution loads and the communication traffic among many servers. Programmers can analyze the execution status of their programs and then optimize their programs. In this report, we describe an application and the implementation of a prototype. We evaluate the optimization of the MapReduce program on a 100-node distributed system using the example of a simple program.
Keyword (in Japanese) (See Japanese page) 
(in English) MapReduce / Hadoop / / / / / /  
Reference Info. IEICE Tech. Rep., vol. 110, no. 448, NS2010-257, pp. 527-532, March 2011.
Paper # NS2010-257 
Date of Issue 2011-02-24 (NS) 
ISSN Print edition: ISSN 0913-5685    Online edition: ISSN 2432-6380
Copyright
and
reproduction		 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 NS  
Conference Date 2011-03-03 - 2011-03-04 
Place (in Japanese) (See Japanese page) 
Place (in English) Okinawa Convention Center 
Topics (in Japanese) (See Japanese page) 
Topics (in English) General, NS+IN workshop (March 3-4) 
Paper Information
Registration To NS 
Conference Code 2011-03-IN-NS 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) A method to visualize the communication and execution processes of the MapReduce program on large-scale distributed systems 
Sub Title (in English)  
Keyword(1) MapReduce  
Keyword(2) Hadoop  
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1st Author's Name Norihiro Kawasaki  
1st Author's Affiliation NTT DOCOMO, Inc. (NTT docomo)
2nd Author's Name Ichiro Okajima  
2nd Author's Affiliation NTT DOCOMO, Inc. (NTT docomo)
3rd Author's Name Satoshi Tanaka  
3rd Author's Affiliation NTT DOCOMO, Inc. (NTT docomo)
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Speaker Author-1 
Date Time 2011-03-04 14:50:00 
Presentation Time 20 minutes 
Registration for NS 
Paper # NS2010-257 
Volume (vol) vol.110 
Number (no) no.448 
Page pp.527-532 
#Pages 6 
Date of Issue 2011-02-24 (NS) 

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