Dynamic Web Service Composition based on Network Modeling with Statistical Analysis and Backtracking
This addresses the challenge of integrating interoperable software applications for machine-to-machine interactions, though it appears incremental in improving success rates.
The paper tackles the problem of dynamic web service composition by introducing a new paradigm using network analysis and backtracking, resulting in a better job success rate compared to existing methods.
A Web service is a software system designed to support interoperable machine-to-machine interaction over a network. Web services provide a standard means of interoperating between different software applications, running on a variety of platforms and/or frameworks. One of the main advantages of the usage of web services is its ability to integrate with the other services through web service composition and realize the required functionality. This paper presents a new paradigm of dynamic web services composition using network analysis paired with backtracking. An algorithm called "Zeittafel" for the selection and scheduling of services that are to be composed is also presented. With the proposed system better percentage of job success rate is obtained compared to the existing methodology.