skip to main content
10.1145/1341771.1341773acmotherconferencesArticle/Chapter ViewAbstractPublication PagescomputeConference Proceedingsconference-collections
research-article

Understanding approaches for web service composition and execution

Published: 18 January 2008 Publication History

Abstract

Web services have received much interest due to their potential in facilitating seamless business-to-business or enterprise application integration. Of particular interest is the Web Service Composition and Execution (WSCE) process - the creation of a workflow that realizes the functionality of a new service and its subsequent deployment and execution on a runtime environment. A significant number of solutions have been proposed in the literature for composition and execution of web services. However, in order to choose a suitable technique for an application scenario, one needs to systematically analyze the strengths and weaknesses of each of these solutions. To this end, we present an analysis that includes formalization of the WSCE process, a classification of existing solutions into four distinct categories (approaches), and an in-depth evaluation of these approaches. Our evaluation is based on multiple metrics that we deem critical for a WSCE system, e.g. composition effort, composition control, and ability to handle failures. We also present an application of this analysis to three different scenarios.

References

[1]
Vikas Agarwal, Koustuv Dasgupta, Neeran Karnik, Arun Kumar, Ashish Kundu, Sumit Mittal, and Biplav Srivastava. A Service Creation Environment based on End to End Composition of Web Services. In Proceedings of the 14th International World Wide Web Conference, 2005.
[2]
J. Ambite, G. Barish, C. Knoblock, M. Muslea, J. Oh, and S. Minton. Getting from here to there: Interactive planning and agent execution for optimizing travel. In Proc. IAAI, 2002.
[3]
J. Blythe et al. The Role of Planning in Grid Computing. Proceedings of International Conference on AI Planning and Scheduling, 2003.
[4]
Soon Ae Chun, V. Atluri, and N. R. Adam. Policy-based Web Service Composition. In Research Issues on Data Engineering: Web Services for e-Commerce and e-Government Applications (RIDE), 2004.
[5]
U. Dal-Lago, M. Pistore, and P. Traverso. Planning with a Language for Extended Goals. In Proceedings of AAAI, pages 447--454, 2002.
[6]
M. DesJardins, E. Durfee, C. Ortiz, and M. Wolverton. A Survey of Research In Distributed, Continual Planning. AI Magazine, 20(4):13--22, 1999.
[7]
M. B. Do and S. Kambhampati. Sapa: A Scalable Multi-objective Heuristic Metric Temporal Planner. Journal of AI Research, 20:155--194, 2003.
[8]
Kutluhan Erol, James Hendler, and Dana S. Nau. HTN Planning: Complexity and Expressivity. In Proceedings of the Twelfth National Conference on Artificial Intelligence, Seattle, Washington, USA, 1994.
[9]
José Luis Ambite et al. Getting from here to there:. interactive planning and agent. execution for optimizing travel. In IAAI, 2002.
[10]
F. Giunchiglia and P. Traverso. Planning as Model Checking. In Proceedings European Conference on Planning, 1999.
[11]
A. Johnson, P. Morris, N. Muscettola, and K. Rajan. Planning in Interplanetary Space: Theory and Practice. In Proceedings AIPS, 2000.
[12]
Henry Kautz and Joachim Paul Walser. State-space Planning by Integer Optimization. In Proceedings Fifteenth National Conference on Artificial Intelligence (AAAI-99), 1999.
[13]
D. McDermott. Estimated-Regression Planning for Interactions with Web Services. In Proc. AIPS, 2002.
[14]
S. Ponnekanti and A. Fox. SWORD: A Developer Toolkit for Web Service Composition. In Proceedings of the 11th International World Wide Web Conference, 2002.
[15]
E. Sirin, B. Parsia, and J. Hendler. Composition-driven Filtering and Selection of Semantic Web Services. In AAAI Spr. Symposium on Semantic Web Services, March 2004.
[16]
Evren Sirin, Bijan Parsia, and James Hendler. Template-based Composition of Semantic Web Services. In AAAI Fall Symposium on Agents and the Semantic Web, Virginia, USA, November 2005. To Appear.
[17]
B. Srivastava. Automatic Web Services Composition Using Planning. In Proceedings of KBCS, Mumbai, 2002., pages 467--477, 2002.
[18]
B. Srivastava and J. Koehler. Web Service Composition - Current Solutions and Open Problems. ICAPS 2003 Workshop on Planning for Web Services, 2003.
[19]
S. Thakkar, C. Knoblock, and J. Ambite. A view integration approach to dynamic composition of web services. In Proc. ICAPS 2003 Workshop on Planning for Web Services, 2003.
[20]
P. Traverso and M. Pistore. Automated Composition of Semantic Web Services into Executable Processes. In 3rd International Semantic Web Conference, 2004.
[21]
L. Zeng, B. Benatallah, A Ngu, M. Dumas, J. Kalagnanam, and H. Chang. QoS-Aware Middleware for Web Services Composition. IEEE Transactions on Software Engineering, 30:311--327, 2004.

Cited By

View all

Recommendations

Comments

Information & Contributors

Information

Published In

cover image ACM Other conferences
COMPUTE '08: Proceedings of the 1st Bangalore Annual Compute Conference
January 2008
195 pages
ISBN:9781595939500
DOI:10.1145/1341771
Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

Sponsors

  • ACM Bangalore chapter

In-Cooperation

Publisher

Association for Computing Machinery

New York, NY, United States

Publication History

Published: 18 January 2008

Permissions

Request permissions for this article.

Check for updates

Author Tags

  1. QoS
  2. planning
  3. web services composition and execution

Qualifiers

  • Research-article

Conference

COMPUTE08
Sponsor:
COMPUTE08: ACM Bangalore Chapter COMPUTE 2008
January 18 - 20, 2008
Bangalore, India

Acceptance Rates

Overall Acceptance Rate 114 of 622 submissions, 18%

Contributors

Other Metrics

Bibliometrics & Citations

Bibliometrics

Article Metrics

  • Downloads (Last 12 months)2
  • Downloads (Last 6 weeks)0
Reflects downloads up to 02 Feb 2025

Other Metrics

Citations

Cited By

View all

View Options

Login options

View options

PDF

View or Download as a PDF file.

PDF

eReader

View online with eReader.

eReader

Figures

Tables

Media

Share

Share

Share this Publication link

Share on social media