A DISCRETE-TIME LOAD BALANCING PROBLEM BY NEURO-DYNAMIC PROGRAMMING ALGORITHMS
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- Inoie Atsushi
- Kanagawa Institute of Technology
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- Ohno Katsuhisa
- Aichi Institute of Technology
Bibliographic Information
- Other Title
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- ニューロ・ダイナミックプログラミングによる負荷分散システムの離散時間負荷分散政策
- ニューロ ダイナミック プログラミング ニ ヨル フカ ブンサン システム ノ リサン ジカン フカ ブンサン セイサク
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Abstract
The meaning of load balancing is to dispatch jobs among resources of a system for maximizing the system performance. This paper deals with a discrete-time optimal load balancing problem that minimizes an expected total cost. This problem is formulated as an undiscounted Markov decision process, and is solved by the modified policy iteration method. Since the modified policy iteration method can not solve practical sized problems due to the curse of dimensionality, a near-optimal load balancing policy is computed by neuro-dynamic programming algorithms. We further compare this policy with heuristic policies such as the random policy, round-robin policy and shortest policy.
Journal
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- Transactions of the Operations Research Society of Japan
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Transactions of the Operations Research Society of Japan 49 (0), 46-61, 2006
The Operations Research Society of Japan
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Keywords
Details 詳細情報について
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- CRID
- 1390282680733041792
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- NII Article ID
- 110006151984
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- NII Book ID
- AA11998080
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- ISSN
- 21888280
- 13498940
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- NDL BIB ID
- 8701754
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- Text Lang
- ja
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- Data Source
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- JaLC
- NDL
- Crossref
- CiNii Articles
- KAKEN
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- Abstract License Flag
- Disallowed