메뉴 건너뛰기




Volumn , Issue , 2012, Pages 613-620

Applying particle swarm optimization to quality-of-service-driven web service composition

Author keywords

particle swarm optimization; quality of service; workflow composition

Indexed keywords

COMPOSITION OF SERVICES; HYBRID PSO; META-HEURISTIC METHODS; NON FUNCTIONAL PROPERTIES; OPTIMIZATION PROBLEMS; OPTIMIZATION TECHNIQUES; QUALITY OF SERVICE PARAMETERS; RUNTIMES; SERVICE COMPOSITIONS; SERVICE-ORIENTED ENVIRONMENT; WEB SERVICE COMPOSITION; WORKFLOW COMPOSITION;

EID: 84860733526     PISSN: 1550445X     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/AINA.2012.46     Document Type: Conference Paper
Times cited : (34)

References (34)
  • 1
    • 84876089191 scopus 로고    scopus 로고
    • IEEE Computer Society
    • IEEE Computer Society, Overview, http://tab.computer.org/tcsc/scope.htm.
    • Overview
  • 3
    • 36749060136 scopus 로고    scopus 로고
    • Service- oriented computing: State of the art and research challenges
    • November
    • M.P. Papazoglou, P. Traverso, S. Dustdar, F. Leymann, Service- Oriented Computing: State of the Art and Research Challenges, Computer, pp. 38-45, November, 2007.
    • (2007) Computer , pp. 38-45
    • Papazoglou, M.P.1    Traverso, P.2    Dustdar, S.3    Leymann, F.4
  • 4
    • 36749060136 scopus 로고    scopus 로고
    • Service-oriented computing: State of the art and research challenges
    • M. P. Papazoglou, P. Traverso, S. Dustdar, and F. Leymann. Service-oriented computing: State of the art and research challenges. IEEE Computer, 40(11):38-45, 2007.
    • (2007) IEEE Computer , vol.40 , Issue.11 , pp. 38-45
    • Papazoglou, M.P.1    Traverso, P.2    Dustdar, S.3    Leymann, F.4
  • 6
    • 84860755590 scopus 로고    scopus 로고
    • Web Services Composite Application Framework. Internet
    • Organization for the Advancement of Structured Information Standards (OASIS). Web Services Composite Application Framework. Internet (http://www.oasisopen.org/committees/), 2006.
    • (2006)
  • 7
    • 84860752979 scopus 로고    scopus 로고
    • O. S. Collaboration. Internet
    • O. S. Collaboration. Service Component Architecture. Internet (http://www.osoa.org/display/Main/Service+Component+Architecture+Home), 2007.
    • (2007)
  • 8
    • 35048866373 scopus 로고    scopus 로고
    • A framework for automated service composition in service-oriented architectures
    • C. Bussler, J. Davies, D. Fensel, and R. Studer, editors. volume 3053 of Lecture Notes in Computer Science. Springer
    • S. Majithia, D. W. Walker, and W. A. Gray. A framework for automated service composition in service-oriented architectures. In C. Bussler, J. Davies, D. Fensel, and R. Studer, editors, ESWS, volume 3053 of Lecture Notes in Computer Science, pages 269-283. Springer, 2004.
    • (2004) ESWS , pp. 269-283
    • Majithia, S.1    Walker, D.W.2    Gray, W.A.3
  • 10
    • 0003954103 scopus 로고
    • Prentice-Hall, Inc., Upper Saddle River, NJ, USA
    • R. Milner. Communication and concurrency. Prentice-Hall, Inc., Upper Saddle River, NJ, USA, 1989.
    • (1989) Communication and Concurrency
    • Milner, R.1
  • 12
    • 11044239442 scopus 로고    scopus 로고
    • Current solutions for web service composition
    • N. Milanovic and M. Malek. Current solutions for web service composition. IEEE Internet Computing, 8(6):51-59, 2004.
    • (2004) IEEE Internet Computing , vol.8 , Issue.6 , pp. 51-59
    • Milanovic, N.1    Malek, M.2
  • 16
    • 68549140050 scopus 로고    scopus 로고
    • A framework for QoS-based Web service contracting
    • M. Comuzzi, B. Pernici, A framework for QoS-based Web service contracting, ACM Trans. Web, Vol. 3, No. 3. (2009).
    • (2009) ACM Trans. Web , vol.3 , Issue.3
    • Comuzzi, M.1    Pernici, B.2
  • 21
    • 26844447786 scopus 로고    scopus 로고
    • Discrete particle swarm optimization - Illustrated by the traveling salesman problem
    • Springer
    • M. Clerc, Discrete particle swarm optimization - illustrated by the traveling salesman problem, New Optimization Techniques in Engineering, Springer, 2004.
    • (2004) New Optimization Techniques in Engineering
    • Clerc, M.1
  • 22
    • 0344291226 scopus 로고    scopus 로고
    • Recent approaches to global optimization problems through particle swarm optimization
    • K.E. Parsopoulos, M.N. Vrahatis, Recent approaches to global optimization problems through particle swarm optimization, Natural Computing 1 (2002) 235-306.
    • (2002) Natural Computing , vol.1 , pp. 235-306
    • Parsopoulos, K.E.1    Vrahatis, M.N.2
  • 23
    • 0036464756 scopus 로고    scopus 로고
    • The particle swarm explosion, stability, and convergence in a multidimensional complex space
    • M. Clerc, J. Kennedy, The particle swarm explosion, stability, and convergence in a multidimensional complex space, IEEE Transactions on Evolutionary Computation 6 (2002) 58-73.
    • (2002) IEEE Transactions on Evolutionary Computation , vol.6 , pp. 58-73
    • Clerc, M.1    Kennedy, J.2
  • 24
    • 0037475094 scopus 로고    scopus 로고
    • The particle swarm optimization algorithm: Convergence analysis and parameter selection
    • I.C. Trelea, The particle swarm optimization algorithm: convergence analysis and parameter selection, Information Processing Letters 85 (2003) 317-325.
    • (2003) Information Processing Letters , vol.85 , pp. 317-325
    • Trelea, I.C.1
  • 26
    • 33847379879 scopus 로고    scopus 로고
    • A hybrid particle swarm optimization-back-propagation algorithm for feedforward neural network training
    • 15 February
    • J.-R. Zhanga, J. Zhanga, T.-M. Lokc, and M.R. Lyud, A hybrid particle swarm optimization-back-propagation algorithm for feedforward neural network training, Journal of Applied Mathematics and Computation, Volume 185, Issue 2, 15 February 2007, Pages 1026-1037.
    • (2007) Journal of Applied Mathematics and Computation , vol.185 , Issue.2 , pp. 1026-1037
    • Zhanga, J.-R.1    Zhanga, J.2    Lokc, T.-M.3    Lyud, M.R.4
  • 28
    • 62949189473 scopus 로고    scopus 로고
    • Multiprocessor scheduling using hybrid particle swarm optimization with dynamically varying inertia
    • S. N. Sivanandam, P. Visalakshi, A. Bhuvaneswari: Multiprocessor Scheduling Using Hybrid Particle Swarm Optimization with Dynamically Varying Inertia. IJCSA 4(3): 95-106 (2007)
    • (2007) IJCSA , vol.4 , Issue.3 , pp. 95-106
    • Sivanandam, S.N.1    Visalakshi, P.2    Bhuvaneswari, A.3
  • 29
    • 13144282754 scopus 로고
    • The Hungarian method for the assignment problem
    • H.W. Kuhn, The Hungarian method for the assignment problem, Naval Research Logistics, 52(1), 1955.
    • (1955) Naval Research Logistics , vol.52 , Issue.1
    • Kuhn, H.W.1
  • 30
    • 0002719797 scopus 로고
    • The Hungarian method for solving the assignment problem
    • H.W. Kuhn, The hungarian method for solving the assignment problem, Naval Research Logistics Quarterly, 2:83, 1955.
    • (1955) Naval Research Logistics Quarterly , vol.2 , pp. 83
    • Kuhn, H.W.1
  • 32
    • 0015200414 scopus 로고
    • An extension of the munkres algorithm for the assignment problem to rectangular matrices
    • F. Bourgeois, J.C. Lassalle, An extension of the munkres algorithm for the assignment problem to rectangular matrices, Commun. ACM, 14(12), 1971.
    • (1971) Commun. ACM , vol.14 , Issue.12
    • Bourgeois, F.1    Lassalle, J.C.2
  • 33
    • 84860752982 scopus 로고    scopus 로고
    • Hungarian Algorithm, last retrieved December 2011
    • Wikipedia, Hungarian Algorithm, last retrieved December 2011, http://en.wikipedia.org/wiki/Hungarian-algorithm.
  • 34
    • 78650906997 scopus 로고    scopus 로고
    • Java implementation, last retrieved on December 2011 from
    • K. Nedas, Munkres' (Hungarian) Algorithm, Java implementation, last retrieved on December 2011 from http://konstantinosnedas.com/dev/soft/munkres. htm.
    • Munkres' (Hungarian) Algorithm
    • Nedas, K.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.