Service composition using service selection with WS-agreement

ABSTRACT

The business requirements are dynamic in nature. Identification of suitable business partners who can satisfy a set of guarantees "on demand" is a critical process. Selection of business partners is influenced by several parameters including maximizing profit, minimizing cost, reliability, credit history, etc. A business process can be decomposed into several tasks, possibly expressed as Web services implementing desired business functionalities. Each service offers a set of guarantees, each defining a Service Level Objective(SLO). Many service providers may provide the similar business functionality in the form of service with different SLOs. Thus, it is necessary to select services offered by service partner(s) such that overall performance of the process is improved. By specifying requirements of a service in the form of multiple service level objectives (SLOs), selection of a service provider can be achieved based on the best or optimal matching of SLOs of service consumer and providers. A set of services, SLOs, and participating actors constitute a Service Level Agreement (SLA). In this work, WS-Agreement specification is used to specify the SLA. The service partner must comply with the multiple criteria and preferences of a requester. Multi Criteria Decision Making (MCDM) method is also required in this process.

REFERENCES

• 1: C. Matthew MacKenzie, Ken Laskey, Francis McCabe, Peter F Brown, Rebekah Metz, Booz Allen Hamilton. Reference Model for Service Oriented Architecture 1.0. Committee Specification 1, 2 August 2006, OASIS. http://www.oasis-open.org/committees/download.php/19679/soa-rmcs.pdf
• 2: Alain Andrieux, Karl Czajkowski, Asit Dan, Kate Keahey, Heiko Ludwig, Toshiyuki Nakata, Jim Pruyne, John Rofrano, Steve Tuecke, Ming Xu. Web Services Agreement Specification (WS-Agreement), September 7, 2006.
• 3: Thomas R. Gruber, A translation approach to portable ontology specifications, Knowledge Acquisition, v.5 n.2, p.199-220, June 1993 [doi>10.1006/knac.1993.1008]
• 4: Nicole Oldham , Kunal Verma , Amit Sheth , Farshad Hakimpour, Semantic WS-agreement partner selection, Proceedings of the 15th international conference on World Wide Web, May 23-26, 2006, Edinburgh, Scotland [doi>10.1145/1135777.1135879]
• 5: Hai Jin, Hao Wu. Semantic-enabled Specification for web service agreement. International Journal of Web Services Practices, Vol. 1 No. 1--2 (2005), pp. 13--20.
• 6: E. Michael Maximilien , Munindar P. Singh, A Framework and Ontology for Dynamic Web Services Selection, IEEE Internet Computing, v.8 n.5, p.84-93, September 2004 [doi>10.1109/MIC.2004.27]
• 7: S. Bajaj, D. Box, D. Chappell, F. Curbera, G. Daniels, P. Hallam-Baker, M. Hondo, C. Kaler, D. Langworthy, A. Malhotra, A. Nadalin, N. Nagaratham, M. Notthingham, H. Prafullchandra, C. von Riegen, J. Schlimmer, C. Sharp, and J. Shewchuk. Web services policy framework, September 2004.Available at http://msdn.microsoft.com/library/default.asp?url=/library/enus/dnglobspec/html/ws-policy.asp.
• 8: Kunal Verma, Rama Akkiraju, Richard Goodwin. Semantic Matching of Web Service Policies. Second International Workshop on Semantic and Dynamic Web Processes (SDWP 2005), In Conjunction with the Third International Conference on Web Services (ICWS'05), July, 2005, Orlando, Florida, pp. 79--90
• 9: Xia Wang, Tomas Vitvar, Mick Kerrigan and Ioan Toma. A QoS-aware Selection Model for Semantic Web Services. ICSOC 2006.
• 10: Glen Dobson, Russell Lock, Ian Sommerville. QoSOnt: A QoS Ontology for Service-Centric Systems. AHM 2005.
• 11: Chen Zhou , Liang-Tien Chia , Bu-Sung Lee, DAML-QoS Ontology for Web Services, Proceedings of the IEEE International Conference on Web Services, p.472, June 06-09, 2004 [doi>10.1109/ICWS.2004.44]
• 12: M. Tian , A. Gramm , H. Ritter , J. Schiller, Efficient Selection and Monitoring of QoS-Aware Web Services with the WS-QoS Framework, Proceedings of the 2004 IEEE/WIC/ACM International Conference on Web Intelligence, p.152-158, September 20-24, 2004 [doi>10.1109/WI.2004.60]
• 13: Saaty TL. The analytic hierarchy process. New York:McGraw-Hill, 1980.
• 14: Hwang C. L., Yoon. K. Multiple Attribute Decision Making Methods and Applications (1981) Berlin: Springer.
• 15: A Charnes, WW Cooper, R Ferguson. Optimal estimation of executive compensation by linear programming. Management Science, 1, 138--151, (1955).
• 16: B. Roy. The Outranking Approach and the Foundation of ELECTRE Methods, Theory and Decision, 31 (1991), pp 49--73.
• 17: Yann Collette, Patrick Siarry. MultiObjective Optimization. springer 2003 and 2004 Berlin Heidelberg Ney York
• 18: Alexandre Alves, Assaf Arkin, Sid Askary, Charlton Barreto, Ben Bloch, Francisco Curbera, Mark Ford, Yaron Goland, Alejandro Guízar, Neelakantan Kartha, Canyang Kevin Liu, Rania Khalaf, Dieter König, Mike Marin, Vinkesh Mehta, Satish Thatte, Danny van der Rijn, Prasad Yendluri, Alex Yiu, Web Services Business Process Execution Language Version 2.0, OASIS Standard, 11 April 2007 http://docs.oasis-open.org/wsbpel/2.0/OS/wsbpel-v2.0-OS.html
• 19: Arindam Banerji, Claudio Bartolini, Dorothea Beringer, Venkatesh Chopella, Kannan Govindarajan, Alan Karp, Harumi Kuno, Mike Lemon, Gregory Pogossiants, Shamik Sharma, Scott Williams, Web Services Conversation Language (WSCL) 1.0, W3C Note 14 March 2002
• 20: Antonio Bucchiarone, Stefania Gnesi A Survey on Services Composition Languages and Models, International Workshop on Web Services Modeling and Testing (WS-MaTe 2006).
• 21: Asif Akram, Sanjay Chaudhary, Prateek Jain, Zakir Laliwala and Rob Allan, Chapter on "Grid Business Process", for a book "Securing Web Services: Practical Usage of Standards and Specifications", Ed. Dr. Periorellis Panos, published by Idea Group Inc., ISBN: 978-1-59904-639-6

INDEX TERMS

Primary Classification:
  H. Information Systems
  H.4 INFORMATION SYSTEMS APPLICATIONS

Additional Classification:
  D. Software
  D.2 SOFTWARE ENGINEERING
      D.2.8 Metrics

General Terms:
Design, Experimentation

Keywords:
MCDM, WS-agreement, ontology, service composition, service level agreement (SLA), service level objective (SLO), service-oriented computing (SOC), web services