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Volumn , Issue , 2012, Pages 258-265

On graph reduction for QoS prediction of very large web service compositions

Author keywords

BPMN; Business process; Graph reduction; QoS prediction; Web Service Composition

Indexed keywords

BPMN; BUSINESS PROCESS; FAST ALGORITHMS; GRAPH REDUCTION; INTEGER PROGRAMMING MODELS; MEMORY SPACE; NUMBER OF SERVICES; SERVICE RESPONSE TIME; TIME COMPLEXITY; WEB SERVICE COMPOSITION;

EID: 84867344140     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/SCC.2012.21     Document Type: Conference Paper
Times cited : (16)

References (11)
  • 4
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    • P. Puschner and A. Schedl, "Computing maximum task execution times - a graph-based approach," Journal of Real-Time Systems, vol. 13, pp. 67-91, 1997.
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    • Puschner, P.1    Schedl, A.2
  • 5
    • 34548649823 scopus 로고    scopus 로고
    • A probabilistic approach to modeling and estimating the qos of web-services-based workflows
    • S.-Y. Hwang, H. Wang, J. Tang, and J. Srivastava, "A probabilistic approach to modeling and estimating the qos of web-services-based workflows," Information Sciences, vol. 177, no. 23, pp. 5484-5503, 2007.
    • (2007) Information Sciences , vol.177 , Issue.23 , pp. 5484-5503
    • Hwang, S.-Y.1    Wang, H.2    Tang, J.3    Srivastava, J.4
  • 8
    • 33947497029 scopus 로고    scopus 로고
    • A stochastic model for workflow qos evaluation
    • December
    • Y. Xia, H. P. Wang, Y. Huang, and L. Yuan, "A stochastic model for workflow qos evaluation," Sci. Program., vol. 14, pp. 251-265, December 2006.
    • (2006) Sci. Program. , vol.14 , pp. 251-265
    • Xia, Y.1    Wang, H.P.2    Huang, Y.3    Yuan, L.4
  • 11
    • 0039749799 scopus 로고
    • Scheduling independent tasks with multiple modes
    • L. Bianco, P. Dell'Olmo, and M. Speranza, "Scheduling independent tasks with multiple modes," Discrete Applied Mathematics, vol. 62, no. 13, pp. 35-50, 1995.
    • (1995) Discrete Applied Mathematics , vol.62 , Issue.13 , pp. 35-50
    • Bianco, L.1    Dell'Olmo, P.2    Speranza, M.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.