A novel composite web service selection based on quality of service

Using the internet, as a dynamic environment thanks to its distributed characteristic, for web service deployment has become a crucial issue in QoS-driven service composition. An accurate adaption should be undertaken to provide a reliable service composition which enables the composited services are being executed appropriately. That is, the critical aspect of service composition is the proper execution of combination of web services while the appropriate service adaption performed with respect to predetermined functional and non-functional characteristics. In this paper, we attempts to deliberate the optimization approaches to devise the appropriate scheme for QoS-based composite web service selection.

[1]  Danilo Ardagna,et al.  Adaptive Service Composition in Flexible Processes , 2007, IEEE Transactions on Software Engineering.

[2]  Jin-Kao Hao,et al.  Selecting Web Services for Optimal Composition , 2005, SDWP@ICWS.

[3]  Laurence A. Wolsey,et al.  Integer and Combinatorial Optimization , 1988 .

[4]  Kalyanmoy Deb,et al.  A fast and elitist multiobjective genetic algorithm: NSGA-II , 2002, IEEE Trans. Evol. Comput..

[5]  Lei Li,et al.  Trust-Oriented Composite Service Selection with QoS Constraints , 2010, J. Univers. Comput. Sci..

[6]  Tudor David,et al.  Ant-Inspired Technique for Automatic Web Service Composition and Selection , 2010, 2010 12th International Symposium on Symbolic and Numeric Algorithms for Scientific Computing.

[7]  Li Li,et al.  Genetic Algorithm-Based Multi-objective Optimisation for QoS-Aware Web Services Composition , 2010, KSEM.

[8]  Guisheng Fan,et al.  A Heuristic QoS-Aware Service Selection Approach to Web Service Composition , 2009, 2009 Eighth IEEE/ACIS International Conference on Computer and Information Science.

[9]  Peter J. Fleming,et al.  Multiobjective optimization and multiple constraint handling with evolutionary algorithms. I. A unified formulation , 1998, IEEE Trans. Syst. Man Cybern. Part A.

[10]  Mike P. Papazoglou,et al.  Service-oriented computing: concepts, characteristics and directions , 2003, Proceedings of the Fourth International Conference on Web Information Systems Engineering, 2003. WISE 2003..

[11]  Yunxiang Liu,et al.  A Dynamic Web Service Selection Strategy with QoS Global Optimization Based on Multi-objective Genetic Algorithm , 2005, GCC.

[12]  Sam Malek,et al.  A framework for utility-based service oriented design in SASSY , 2010, WOSP/SIPEW '10.

[13]  Li Li,et al.  Applying Multi-objective Evolutionary Algorithms to QoS-Aware Web Service Composition , 2010, ADMA.

[14]  Jing Zhao,et al.  A decomposition-based approach for service composition with global QoS guarantees , 2012, Inf. Sci..

[15]  Tao Yu,et al.  Efficient algorithms for Web services selection with end-to-end QoS constraints , 2007, TWEB.

[16]  Anne H. H. Ngu,et al.  QoS-aware middleware for Web services composition , 2004, IEEE Transactions on Software Engineering.

[17]  Maria Luisa Villani,et al.  An approach for QoS-aware service composition based on genetic algorithms , 2005, GECCO '05.

[18]  Baotian Dong,et al.  Linear Physical Programming-Based Approach for Web Service Selection , 2008, 2008 International Conference on Information Management, Innovation Management and Industrial Engineering.

[19]  Daniel A. Menascé,et al.  Utility-based QoS Brokering in Service Oriented Architectures , 2007, IEEE International Conference on Web Services (ICWS 2007).

[20]  James Kennedy,et al.  Particle swarm optimization , 2002, Proceedings of ICNN'95 - International Conference on Neural Networks.

[21]  Krzysztof Socha,et al.  Ant Colony Optimization and Swarm Intelligence , 2004, Lecture Notes in Computer Science.

[22]  Shujun Pei,et al.  Research on the Particle-Ant Colony Algorithm in Web Services Composition Problem , 2014 .

[23]  Wolfgang Nejdl,et al.  A hybrid approach for efficient Web service composition with end-to-end QoS constraints , 2012, TWEB.

[24]  Salwani Mohd Daud,et al.  Improved indoors location awareness architecture in mobile phones , 2014 .

[25]  Thomas Risse,et al.  Selecting skyline services for QoS-based web service composition , 2010, WWW '10.

[26]  Quan Z. Sheng,et al.  Quality driven web services composition , 2003, WWW '03.

[27]  Andrzej J. Osiadacz.  Integer and combinatorial optimization, George L. Nemhauser and Laurence A. Wolsey, Wiley-Interscience Series in Discrete Mathematics and Optimization, New York, 1988, ISBN 0-471-82819-X, 763pp, £71.90 , 1990 .

[28]  Walid Gaaloul,et al.  Semantic Web Services for Satisfying SOA Requirements , 2008, Advances in Web Semantics I.

[29]  Arthur M. Geoffrion,et al.  Lagrangian Relaxation for Integer Programming , 2010, 50 Years of Integer Programming.

[30]  Prashant Doshi,et al.  Dynamic workflow composition using Markov decision processes , 2004 .

[31]  Danilo Ardagna,et al.  Global and local QoS constraints guarantee in Web service selection , 2005, IEEE International Conference on Web Services (ICWS'05).