IJSER Home >> Journal >> IJSER
International Journal of Scientific and Engineering Research
ISSN Online 2229-5518
ISSN Print: 2229-5518 4    
Website: http://www.ijser.org
scirp IJSER >> Volume 2, Issue 4, April 2011 Edition
An Innovative Quality Of Service (Qos) Based Service Selection For Service Orchestration In Soa
Full Text(PDF, 3000)  PP.  
Author(s)
K.Vivekanandan, S.Neelavathi
KEYWORDS
"Service Oriented Architecture, Service Selection, Service orchestration, Meta-metrics, Modeled Flexibility, Rating, Multiple QOS level, local selection, global selection"
ABSTRACT
Service Oriented Architecture (SOA) has become a new software development paradigm because it provides a flexible framework that can help reduce development cost and time. SOA promises loosely coupled interoperable and composable services. Service selection in business processes is the usage of techniques in selecting and providing quality of services (QOS) to consumers in a dynamic environment. Single business process model consists of multiple service invocations forming service orchestration. It represents multiple execution paths called modeled flexibility. In certain cases, modeled flexibility can cause conflicts in service selection optimization, making it impossible to simultaneously optimize all execution paths. This paper presents an innovative approach to service selection for service orchestration that addresses this type of conflicts by encompassing status identification based availability estimation with multiple QOS constraints along with an effective quality assessment model. This model captures the expectations from the users on the multiple quality of a service and returns ratings as a feedback on the service usage. This updated rating in the service list can be used by the new user. This proposed method provides optimal services to users consistently and efficiently thereby resulting in more meaningful and reliable selection of services for service orchestration in SOA.
References
[1] Thomas Erl, (2005) Service-Oriented Architecture: Concepts, Technology, and Design. Prentice Hall, PTR

[2] Judith Hurwitz, Robin Bloor, Baroudi C,Marcia K Service Oriented Architecture for Dummies Wiley Publishing, Inc.

[3] Soa Principles Of Service Design

[4] Canfora, G., Di Penta, M., Esposito, R., and Villani, M L.,“An Approach for QoS-aware Service Composition based on Genetic Al gorithms”, Proc. of the 2005 Conf. on Genetic and evolutionary computation, ACM Press, New York, 2005.

[5] D. T. Tsesmetzis, I. G. Roussaki, I. V. Papaioannou, et al.“QoS awareness support in Web-Service semantics,” in Proceedings of AICT/ICIW 2006, 2006.

[6] Yu and K. Lin, “Service selection algorithms for Web services with end-to-end QoS constraints,” in Proceedings CEC’04, pp. 129- 136, 2004.

[7] R. Ukor and A. Carpenter, “On modelled flexibility and service selection optimisation,” in 9th Workshop on Business Process Modeling, Development and Support, vol. 335.CEUR-WS, 2008.

[8] D. Ardagna and B. Pernici, “Global and local qos guarantee in web service selection,” in Business Process Management Work shops, 2005, pp. 32–46.

[9] O.Minhyuk, B.Jongmoon,et.al, “An efficient approach for QoSaware service selection based on a Tree-based Algorithm”, Seventh IEEE international conference on computer and Information science

[10] Web Service Business Process Execution Language (WS BPEL), Version 2.0 - OASIS Committee Draft, 17th May 2006.

[11] Lingshuang S,Lu Z, et.al , Dynamic Availability Estimation For Service Selection Based On Status Identification, IEEE Interna tional Conference on web Services, 2008 IEEE

[12] R. Berbner, M. Spahn, N. Repp, O. Heckmann, R.Steinmetz, Heuristics for QoS-aware web service composition, in: Proc. Int'l Conf. on Web Services,Sept. 2006.

[13] G. Canfora, M. Di Penta, R. Esposito, M.L. Villani, An ap proach for QoS-aware service composition based on genetic algo rithms, in: Proc. Genetic and Computation Conf., June 2005.

[14] Roland Ukor, Andy Carpenter , Flexible Service SelectionOpti mization Using Meta-metrics Congress on Services-I, 2009 IEEE

[15] D.A. Menascé, V. Dubey, Utility-based QoS brokering in service oriented architectures, in: IEEE 2007 Intl. Conf. Web Services, ICWS 2007, Application Services and Industry Track Salt Lake City, Utah, July 913, 2007, 422430.

[16] D.A. Menascé, H. Ruan, H. Gomma, QoS management in Ser vice Oriented Architectures, Performance Evaluation Journal 64 (7-8) (2007) 646663.

[17] T. Yu, K.J. Lin, Service selection algorithms for composing complex services with multiple QoS constraints, in: Proc. of 3rd Int'l Conf. on Service Oriented Computing, Dec. 2005, pp. 130143.

[18] M. Jaeger, G. Muhl, S. Golze, Qos-aware composition of web se rvices: A look at selection algorithm, in: Proc. 2005 IEEE Intl. Conf. Web Services, ICWS05, 2005.

[19] V.Deora,j.Shao,w.A.Gray, supporting qos based selection in ser vice oriented architecture proceedings of the international confe rence on next generation web services practices , IEEE 2006

[20] M.A. Serhani, R. Dssouli, A Hafid, H. Sahraoui, A QoS broker based architecture for efficient web service selection, in: Proc. 2005 IEEE International Conference on Web Services, ICWS05, 2005.

[21] D.Liu, Z.Shao,C.Yu, A heuristic Qos-aware service selection proach to web service composition, International Conference on computer and Information science IEEE 2009

Untitled Page