DocumentCode :
1899779
Title :
A Reflective Framework to Support Adaptive Service Composition under Correctness Constrains
Author :
Zhai, Yanlong ; Su, Hongyi ; Zhan, Shouyi
Author_Institution :
Sch. of Comput. Sci. & Technol., Beijing Inst. of Technol., Beijing
fYear :
2008
fDate :
8-13 June 2008
Firstpage :
180
Lastpage :
185
Abstract :
Process-based Web service composition is receiving significant momentum as an important strategy to allow enterprise collaboration. However the current Web service composition solutions are rather restricted and inflexible as they use a pre-defined model of the process environment. These solutions have assumed that the information in the models and consequently the compositions remain static and accurate throughout the service composition life cycle. The reflective framework presented here aims to improve the adaptability of BPEL based Web service composition. A meta-model was defined to represent the control and data flow of the composition model. To ensure the correctness of dynamic adaptation, a set of constrains and a verification algorithm were defined. A prototype adaptive service composition environment has been developed to implement our solution and demonstrate its effectiveness. In summary, it is stated that the reflective framework provides an considerable solution to the adaptive service composition without causing any control or dataflow errors.
Keywords :
Web services; business data processing; groupware; BPEL; Web service composition; adaptive service composition; enterprise collaboration; Adaptive control; Application software; Computer science; International collaboration; Programmable control; Prototypes; Reflection; Runtime; Web and internet services; Web services; adaptive composition; correctness; data flow analysis; reflection; web service;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Internet and Web Applications and Services, 2008. ICIW '08. Third International Conference on
Conference_Location :
Athens
Print_ISBN :
978-0-7695-3163-2
Electronic_ISBN :
978-0-7695-3163-2
Type :
conf
DOI :
10.1109/ICIW.2008.25
Filename :
4545611
Link To Document :
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