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Volumn , Issue , 2007, Pages

Workstation capacity tuning using reinforcement learning

Author keywords

[No Author keywords available]

Indexed keywords

AUTO-TUNING; AVERAGE THROUGHPUTS; COMPUTER GRIDS; CORE MACHINES; DYNAMIC POLICIES; DYNAMIC SYSTEMS; GRADUAL TRANSITIONS; MACHINE STATES; REINFORCEMENT LEARNING ALGORITHMS; SERVER CAPACITIES;

EID: 56749154668     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/1362622.1362666     Document Type: Conference Paper
Times cited : (8)

References (23)
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  • 2
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    • Chrisman, L.1
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    • D. Ernst, P. Geurts, and L. Wehenkel. iteratively extending time horizon reinforcement learning. In European Conference on Machine Learning (ECML), pages 96-107, 2003.
    • D. Ernst, P. Geurts, and L. Wehenkel. iteratively extending time horizon reinforcement learning. In European Conference on Machine Learning (ECML), pages 96-107, 2003.
  • 7
    • 19944418504 scopus 로고    scopus 로고
    • The supercomputer industry in light of the top500 data
    • D. G. Fietelson. The supercomputer industry in light of the top500 data. Comput. in Science and Engineering, 7(1), 2005.
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    • Fietelson, D.G.1
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    • Foster, I.1
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  • 13
    • 34548369975 scopus 로고    scopus 로고
    • Reinforcement learning for selfish load balancing in a distributed memory environment
    • S. M. Majercik and M. L. Littman. Reinforcement learning for selfish load balancing in a distributed memory environment. In International Conference on Information Sciences, pages 262-265, 1997.
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    • Majercik, S.M.1    Littman, M.L.2
  • 14
    • 0024771473 scopus 로고
    • Analysis of the effects of delays on load sharing
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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.