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Assessing complexity of service-oriented computing using learning classifier systems
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Symposium on Applied Computing archive
Proceedings of the 2009 ACM symposium on Applied Computing table of contents
Honolulu, Hawaii
POSTER SESSION: Poster papers table of contents
Pages 2170-2171  
Year of Publication: 2009
ISBN:978-1-60558-166-8
Authors
Lei Liu  Karlsruhe Institute of Technology (KIT), Karlsruhe, Germany
Stefan Thanheiser  Karlsruhe Institute of Technology (KIT), Karlsruhe, Germany
Hartmut Schmeck  Karlsruhe Institute of Technology (KIT), Karlsruhe, Germany
Sponsor
SIGAPP: ACM Special Interest Group on Applied Computing
Publisher
ACM  New York, NY, USA
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ABSTRACT

The design paradigm service-orientation combines several proven design elements - such as decentralization, and scalability - with design elements from recent technology evolution, in particular abstraction and loosely coupling. However, few work has been conducted to investigate the complexity associated with service-oriented systems. This work provides an overview on complexity in SOC, outlines the challenges in assessing complexity in SOC, and proposes an experiment-based approach to assess the impact of various inherent properties on the complexity of service-oriented systems.


REFERENCES

Note: OCR errors may be found in this Reference List extracted from the full text article. ACM has opted to expose the complete List rather than only correct and linked references.

 
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S. Thanheiser, L. Liu, and H. Schmeck. Towards collaborative coping with it complexity by combining soa and organic computing. System and Information Sciences Notes, 2(1):82--87, 2007.
 
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A. Watson. The challenges of service-oriented computing. In Y. Chen and X. Zhou, editors, Proceedings of the 2nd Workshop on Introducing Service-oriented Computing, pages 36--41, 2007.

Collaborative Colleagues:
Lei Liu: colleagues
Stefan Thanheiser: colleagues
Hartmut Schmeck: colleagues