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Volumn 18, Issue , 2004, Pages 731-740

Distributed adaptive task allocation in heterogeneous computing environments to maximize throughput

Author keywords

[No Author keywords available]

Indexed keywords

HETEROGENEOUS COMPUTING; OPTIMAL PERFORMANCE; SOURCE DATA; TASK ALLOCATION;

EID: 12444323075     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (60)

References (16)
  • 4
    • 0038031248 scopus 로고    scopus 로고
    • A comparison of eleven static heuristics for mapping a class of independent tasks onto heterogeneous distributed computing systems
    • T. D. Braun, H. J. Siegel, and N. Beck. A Comparison of Eleven Static Heuristics for Mapping a Class of Independent Tasks onto Heterogeneous Distributed Computing Systems. Journal of Parallel and Distributed Computing, 61:810-837, 2001.
    • (2001) Journal of Parallel and Distributed Computing , vol.61 , pp. 810-837
    • Braun, T.D.1    Siegel, H.J.2    Beck, N.3
  • 5
    • 0035521775 scopus 로고    scopus 로고
    • Parallel and sequential job scheduling in heterogeneous clusters: A simulation study using software in the loop
    • December
    • D. Collins and A. George. Parallel and Sequential Job Scheduling in Heterogeneous Clusters: A Simulation Study using Software in the Loop. Simulation, 77(6):169-184, December 2001.
    • (2001) Simulation , vol.77 , Issue.6 , pp. 169-184
    • Collins, D.1    George, A.2
  • 7
    • 84860086968 scopus 로고    scopus 로고
    • Distributed.net. http://www.distributed.net.
  • 8
    • 0002994660 scopus 로고
    • Heterogeneous processing
    • R. F. Freund and H. J. Siegel. Heterogeneous Processing. IEEE Computer, 26(6):13-17, 1993.
    • (1993) IEEE Computer , vol.26 , Issue.6 , pp. 13-17
    • Freund, R.F.1    Siegel, H.J.2
  • 9
    • 10444261581 scopus 로고    scopus 로고
    • Distributed adaptive task allocation in heterogeneous computing environments to maximize throughput
    • Department of Electrical Engineering, University of Southern California, October
    • B. Hong and V. K. Prasanna. Distributed Adaptive Task Allocation in Heterogeneous Computing Environments to Maximize Throughput. Technical Report CENG-2003-02, Department of Electrical Engineering, University of Southern California, http://www-scf.usc.edu/~bohong/report_oct03.ps, October 2003.
    • (2003) Technical Report , vol.CENG-2003-02
    • Hong, B.1    Prasanna, V.K.2
  • 11
    • 0000769475 scopus 로고
    • Heuristic algorithms for scheduling independent tasks on nonidentical processors
    • O. Ibarra and C. Kim. Heuristic Algorithms for Scheduling Independent Tasks on Nonidentical Processors. Journal of the ACM, 24(2):280-289, 1977.
    • (1977) Journal of the ACM , vol.24 , Issue.2 , pp. 280-289
    • Ibarra, O.1    Kim, C.2
  • 15
    • 0034819363 scopus 로고    scopus 로고
    • Dynamic adaptation to available resources for parallel computing in an autonomous network of workstations
    • U. Rencuzogullari and S. Dwardadas. Dynamic Adaptation to Available Resources for Parallel Computing in an Autonomous Network of Workstations. ACM SIGPLAN Notices, 36(7):72-81, 2001.
    • (2001) ACM SIGPLAN Notices , vol.36 , Issue.7 , pp. 72-81
    • Rencuzogullari, U.1    Dwardadas, S.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.