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Reliable execution based on CPN and skyline optimization for Web service composition
Liping Chen1, Weitao Ha, Guojun Zhang
1College of Mathematics and Information Science, Network Engineering Technology Center, Weinan Normal University, Weinan 714000, China. wnchlp@126.com
Thescientificworldjournal
|August 13, 2013
Summary
This study introduces a Colored Petri Net (CPN) model for transactional web service composition, ensuring reliability. It uses skyline computation to select optimal services based on Quality of Service (QoS) properties, avoiding information loss.
Area of Science:
- Computer Science
- Software Engineering
Background:
- Web services composition is crucial for solving complex problems by integrating individual services.
- The autonomy and heterogeneity of component web services make predicting composite service behavior challenging.
- Transactional and Quality of Service (QoS) properties are essential for reliable and efficient web service composition.
Purpose of the Study:
- To develop a Colored Petri Net (CPN) model that incorporates transactional properties into web service composition.
- To ensure reliable and correct execution of composite web services through CPN unfolding processes.
- To identify the best candidate web services based on QoS properties using skyline computation.
Main Methods:
- Definition of a Colored Petri Net (CPN) model for transactional web service composition.
- Utilizing CPN unfolding processes for formalizing execution and ensuring reliability.
- Application of skyline computation to retrieve dominant web services from candidate sets based on QoS properties.
Main Results:
- A formalization of transactional composition web service (TCWS) execution using CPN properties.
- Effective retrieval of dominant web services by addressing information loss associated with score reduction.
- Experimental validation using both real and synthetically generated datasets.
Conclusions:
- The proposed CPN model effectively integrates transactional properties for reliable web service composition.
- Skyline computation enhances the selection of web services by preserving individual QoS property information.
- The approach demonstrates practical applicability and effectiveness in diverse datasets.
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