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Paper Abstract and Keywords
Presentation 2007-02-01 16:20
[Invited Talk] Dimensionality reduction of Markov chains with applications in size-based task assignment with cycle stealing
Takayuki Osogami (IBM Tokyo Research Lab.) IN2006-168
Abstract (in Japanese) (See Japanese page) 
(in English) Multi-server systems are popular due to their scalability and cost effectiveness. To fully utilize a multi-server system, one would need to analyze the performance of the multi-server system under various scheduling and dispatching policies. A popular approach for analyzing the performance of a computer system is to model the behavior of the computer system by a Markov chain. However, the analysis of the Markov chain is often intractable, particularly when the state space of the Markov chain grows in multiple dimensions. In this talk, we review a technique to reduce the dimensionality of a Markov chain that can model the behavior of a multi-server system. The dimensionality reduction is applied to a performance analysis of a particular task assignment policy with cycle stealing. Cycle stealing allows us to assign tasks to servers more effectively, and the dimensionality reduction of Markov chains allows us to quantitatively evaluate the performance improvement by cycle stealing.
Keyword (in Japanese) (See Japanese page) 
(in English) Dimensionality reduction / Markov chain / Multi-server systems / Performance analysis / Busy period / Task assignment / Cycle stealing /  
Reference Info. IEICE Tech. Rep., vol. 106, no. 524, IN2006-168, pp. 35-40, Feb. 2007.
Paper # IN2006-168 
Date of Issue 2007-01-25 (IN) 
ISSN Print edition: ISSN 0913-5685    Online edition: ISSN 2432-6380
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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  
Conference Date 2007-02-01 - 2007-02-02 
Place (in Japanese) (See Japanese page) 
Place (in English) Aichi Prefectural University 
Topics (in Japanese) (See Japanese page) 
Topics (in English)  
Paper Information
Registration To IN 
Conference Code 2007-02-IN 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Dimensionality reduction of Markov chains with applications in size-based task assignment with cycle stealing 
Sub Title (in English)  
Keyword(1) Dimensionality reduction  
Keyword(2) Markov chain  
Keyword(3) Multi-server systems  
Keyword(4) Performance analysis  
Keyword(5) Busy period  
Keyword(6) Task assignment  
Keyword(7) Cycle stealing  
Keyword(8)  
1st Author's Name Takayuki Osogami  
1st Author's Affiliation IBM Tokyo Research Lab. (IBM Tokyo Research Lab.)
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Speaker Author-1 
Date Time 2007-02-01 16:20:00 
Presentation Time 45 minutes 
Registration for IN 
Paper # IN2006-168 
Volume (vol) vol.106 
Number (no) no.524 
Page pp.35-40 
#Pages
Date of Issue 2007-01-25 (IN) 


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