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Immune-Inspired Online Method for Service Interactions Detection

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SOFSEM 2007: Theory and Practice of Computer Science (SOFSEM 2007)

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 4362))

Abstract

Service composition technique aims to integrate several Web services to meet the increasing user demand that a single service can not satisfy. But it also brings the potential of abnormal message interactions among the composed services which lead to the service interactions problem resembling the feature interactions in the telecommunication area. Inspired by the similarities between the immune system and the service interactions detection system, this paper presents an online method to detect the service interactions problem by using ideas from the immune principles. The method overcomes the drawbacks of static methods, and conduces to an effective detection of not only known feature interactions, but also previously unknown ones.

Supported by the National Basic Research and Development Program (973 program) of China under Grant No.2003CB314806; the National Natural Science Foundation Project of China under Grant No. 60672121; the Program for New Century Excellent Talents in University (No: NCET-05-0114); the Program for Changjiang Scholars and Innovative Research Team in University (PCSIRT).

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Jan van Leeuwen Giuseppe F. Italiano Wiebe van der Hoek Christoph Meinel Harald Sack František Plášil

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Zhang, J., Yang, F., Shuang, K., Su, S. (2007). Immune-Inspired Online Method for Service Interactions Detection. In: van Leeuwen, J., Italiano, G.F., van der Hoek, W., Meinel, C., Sack, H., Plášil, F. (eds) SOFSEM 2007: Theory and Practice of Computer Science. SOFSEM 2007. Lecture Notes in Computer Science, vol 4362. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-69507-3_70

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  • DOI: https://doi.org/10.1007/978-3-540-69507-3_70

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-69506-6

  • Online ISBN: 978-3-540-69507-3

  • eBook Packages: Computer ScienceComputer Science (R0)

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