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Volumn 63, Issue 4-5, 2006, Pages 265-277

Contention-sensitive static performance prediction for parallel distributed applications

Author keywords

Parallel computing; Resource contention; Static performance prediction

Indexed keywords

COMPUTER SYSTEMS; INFORMATION ANALYSIS; PARAMAGNETIC MATERIALS; POLYNOMIAL APPROXIMATION;

EID: 33144469879     PISSN: 01665316     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.peva.2005.01.008     Document Type: Article
Times cited : (14)

References (14)
  • 5
    • 84968403099 scopus 로고
    • Multiprocessor and distributed system design: The integration of functional specification and performance analysis using stochastic process algebras
    • Springer, Berlin
    • N. Götz, U. Herzog, and M. Rettelbach Multiprocessor and distributed system design: the integration of functional specification and performance analysis using stochastic process algebras Proceedings of the SIGMETRICS'93, LNCS 729 Springer, Berlin 1993
    • (1993) Proceedings of the SIGMETRICS'93, LNCS 729
    • Götz, N.1    Herzog, U.2    Rettelbach, M.3
  • 6
    • 33144483966 scopus 로고
    • A probabilistic approach to parallel system performance modelling
    • H. Jonkers, A.J.C. van Gemund, and G.L. Reijins A probabilistic approach to parallel system performance modelling HICSS'95, IEEE 1995 412 421
    • (1995) HICSS'95, IEEE , pp. 412-421
    • Jonkers, H.1    Van Gemund, A.J.C.2    Reijins, G.L.3
  • 7
    • 0031070028 scopus 로고    scopus 로고
    • Performance bounds for distributed systems with workload variabilities and uncertainties
    • J. Luethi, S. Majumdar, G. Kotsis, and G. Haring Performance bounds for distributed systems with workload variabilities and uncertainties Parallel Comput. 22 13 1997 1789 1806 (special issue: Distributed and Parallel Systems: Environments and Tools)
    • (1997) Parallel Comput. , vol.22 , Issue.13 , pp. 1789-1806
    • Luethi, J.1    Majumdar, S.2    Kotsis, G.3    Haring, G.4
  • 11
    • 33144462366 scopus 로고    scopus 로고
    • Performance prediction using intervals
    • University of California, San Diego, May
    • J.M. Schopf, F. Berman, Performance prediction using intervals, Technical Report CS97-541, University of California, San Diego, May 1997.
    • (1997) Technical Report , vol.CS97-541
    • Schopf, J.M.1    Berman, F.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.