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 |
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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IN2006-168 |
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) |
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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) |
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Dimensionality reduction |
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Markov chain |
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Multi-server systems |
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Performance analysis |
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Busy period |
Keyword(6) |
Task assignment |
Keyword(7) |
Cycle stealing |
Keyword(8) |
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Takayuki Osogami |
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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 |
6 |
Date of Issue |
2007-01-25 (IN) |
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