Finite State Machine Based Evaluation Model for Web Service Reliability Analysis

Today’s world economy demands that both market access and customer service be available anytime and anywhere. The Web is the only way to supply global economic needs and, due to expand the development of comprehensive web service, it does so relatively inexpensively. The ability of web service is to provide a relatively inexpensive way to deploy customer services. As days goes on the business logic of a system emerges out at a great extent where it has to react to several different competitors under different situations. Through means of a business logic system we can able to achieve faster communication of information, rampant change and increasing business complexity. As competitors gets increased, so it causes the business parties to improve by promoting the business process management to the standard level by incorporating the higher-end technology solution such as service oriented business communication and business rule management automation. Now-a-days they are very much considering about the changes to be done at shorter time since the reaction time needs are decreasing every moment. Business Logic Evaluation Model (BLEM) are the proposed solution targeting business logic automation and facilitating business experts to write sophisticated business rules and complex calculations without costly custom programming. BLEM is powerful enough to handle service manageability issues by analyzing and evaluating the computability and traceability and other criteria of modified business logic at run time. The web service and QOS grows expensively based on the reliability of the service. Hence the service provider of today things that reliability is the major factor and any problem in the reliability of the service should overcome then and there in order to achieve the expected level of reliability. In our paper we propose business logic evaluation model for web service reliability analysis using Finite State Machine (FSM) where FSM will be extended to analyze the reliability of composed set of service i.e., services under composition, by analyzing reliability of each participating service of composition with its functional work flow process. FSM is exploited to measure the quality parameters. If any change occurs in the business logic the FSM will automatically measure the reliability.