A Web Service Prediction Analysis Using Cuckoo Search Cluster

The web services, a novel paradigm in software technology, have innovative mechanisms for transcription services over diversified environment. Their ability to allow businesses to adapt quickly to changes in the business environment and the desires of different customers. The rapid introduction of new web services in a dynamic business environment can unfavorably affect the service quality and user satisfaction. Subsequently, assessment of the quality of web services is of paramount importance in selecting a web service for an application. In this paper proposed a time-effectiveness, reliability prediction approach of Web Service (WS) which employs a neighborhood-based approach for identifying similar neighbors (Web services or service users) to predict the web service reliability. Services are categorized based cuckoo search. This collaborative reliability prediction method obtains better reliability prediction accuracy than other approaches. The Cuckoo Algorithm is used which is proved to be well converged and makes quick calculations. The simulation conducted on different types of network typologies proved that it is a practical and influential algorithm.