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Volumn , Issue , 2010, Pages 162-167

Prediction of job resource requirements for deadline schedulers to manage high-level SLAs on the cloud

Author keywords

[No Author keywords available]

Indexed keywords

ACCURATE PREDICTION; FAST ALGORITHMS; MACHINE-LEARNING; MEMORY ALLOCATION; ONLINE PREDICTION; RELATIVE ERRORS; RESOURCE REQUIREMENTS;

EID: 78449283633     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/NCA.2010.28     Document Type: Conference Paper
Times cited : (43)

References (16)
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  • 6
    • 78449285404 scopus 로고    scopus 로고
    • Online. Available
    • (2009) The java grande forum benchmark suite. [Online]. Available: http://www2.epcc.ed.ac.uk/computing/research activities/java grande/
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    • 48849112469 scopus 로고    scopus 로고
    • Online. Available
    • (2009) The grid workloads archive. [Online]. Available: http://gwa.ewi.tudelft.nl/pmwiki/
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  • 11
    • 50649118094 scopus 로고    scopus 로고
    • A Negotiation Mechanism for Advance Resource Reservations using the Alternate Offers Protocol
    • University of Twente, Enschede, The Netherlands, June 2008
    • S. Venugopal, X. Chu, and R. Buyya, "A Negotiation Mechanism for Advance Resource Reservations using the Alternate Offers Protocol," in 16th International Workshop on Quality of Service, 2008. IWQoS 2008. University of Twente, Enschede, The Netherlands, June 2008, pp. 40-49.
    • 16th International Workshop on Quality of Service, 2008. IWQoS 2008 , pp. 40-49
    • Venugopal, S.1    Chu, X.2    Buyya, R.3
  • 13
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    • Online Prediction of the Running Time of Tasks
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  • 14
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    • Predicting Application Run Times Using Historical Information
    • W. Smith, I. Foster, and V. Taylor, "Predicting Application Run Times Using Historical Information," Lecture Notes in Computer Science, vol. 1459, no. 122, p. 183, 1998.
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    • Smith, W.1    Foster, I.2    Taylor, V.3
  • 15
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    • Improving Resource Selection and Scheduling Using Predictions
    • Norwell, MA, USA
    • W. Smith, "Improving Resource Selection and Scheduling Using Predictions," Grid resource management: state of the art and future trends, Norwell, MA, USA, pp. 237-253, 2004.
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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.