A novel Web service publishing model based on social spider optimization technique

A simple and efficient solution for web service publishing operation is being suggested. Web service is a standard way of interacting with web based applications over the internet. In order to get the best service out we need to optimize the UDDI registry web service operations. Various algorithms for solving web service operations have been proposed so far and the widely used one is bio inspired optimizing techniques. Swarm intelligence is the discipline that deals with natural and artificial systems composed of many individuals that coordinate using decentralized control. The existing approach is that the services are searched in the registry and it provides the required services needed by the requestor without ranking. On the basis of social spider optimization algorithm a new approach is proposed for optimizing publishing operation. The service to be published is evaluated on the basis of few parameters and the fitness value is calculated after normalizing them. Once the service is used, with the help of user feedback it is further optimized. This algorithm is compared with other evolutionary methods for the outcome of efficiency and robustness. This approach brings the outcome of high performance for searching a service with many benchmark functions.