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Volumn , Issue , 2004, Pages 293-300

Adaptive multi-resource prediction in distributed resource sharing environment

Author keywords

[No Author keywords available]

Indexed keywords

AUTOREGRESSIVE (AR) MODEL; DISTRIBUTED RESOURCES; EXPONENTIAL WEIGHTED MOVING AVERAGE (EWMA); MULTI-RESOURCE PREDICTION;

EID: 4544339019     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (48)

References (17)
  • 1
    • 84862437395 scopus 로고    scopus 로고
    • NCSA Alliance Grid, http://www.ncsa.uiuc.edu/projects/alliance/.
  • 5
    • 33845908865 scopus 로고    scopus 로고
    • A decoupled scheduling approach for the grad's program development environment
    • H. Dail, H. Casanova, and F. Berman. A decoupled scheduling approach for the grad's program development environment. In Supercomputing '02, 2002.
    • (2002) Supercomputing '02
    • Dail, H.1    Casanova, H.2    Berman, F.3
  • 6
    • 0004125481 scopus 로고    scopus 로고
    • The statistical properties of host load
    • CMU
    • P. Dinda. The statistical properties of host load. Technical report, CMU, 1998.
    • (1998) Technical Report
    • Dinda, P.1
  • 8
    • 0036471031 scopus 로고    scopus 로고
    • The grid: A new infrastructure for 21st century science
    • I. Foster. The Grid: A new infrastructure for 21st century science. Physics Today, 55(2):42-47, 2002.
    • (2002) Physics Today , vol.55 , Issue.2 , pp. 42-47
    • Foster, I.1
  • 11
    • 84944471615 scopus 로고    scopus 로고
    • Multivariate resource performance forecasting in the network weather service
    • M. Swany and R. Wolski. Multivariate resource performance forecasting in the network weather service. In Supercomputing '02, 2002.
    • (2002) Supercomputing '02
    • Swany, M.1    Wolski, R.2
  • 14
    • 85130634439 scopus 로고    scopus 로고
    • Dynamically forecasting network performance using the network weather service
    • R. Wolski. Dynamically forecasting network performance using the network weather service. In Cluster Computing, 1998.
    • (1998) Cluster Computing
    • Wolski, R.1
  • 17
    • 59849107386 scopus 로고    scopus 로고
    • Conservative scheduling: Using predicted variance to improve scheduling decisions in dynamic environment
    • Phoenix
    • L. Yang, J. M. Schopf, and I. Foster. Conservative scheduling: Using predicted variance to improve scheduling decisions in dynamic environment. In Supercomputing '03, Phoenix, 2003.
    • (2003) Supercomputing '03
    • Yang, L.1    Schopf, J.M.2    Foster, I.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.