ABSTRACT

The Quality of Service (QoS) is a crucial factor for selecting a web service. It is one among the major multi objective optimization problem so the selection of QoS aware web service is always crucial. The predicted values of the QoS are likely to fluctuate due to the unpredictable network connection and user environment. In this paper, the Bayesian Network (BN) with Cuckoo Search Algorithm (CSA) is proposed for optimizing the selection of QoS-aware web service. The proposed BN-CSA model approach, takes into account the response time, reliability and accuracy for the selection of QoS-aware web service. Data for training purpose is developed and to calculate the best trained data by utilizing the CSA, is a optimization algorithm which is based on meta Heuristic and it is suitable for solving optimization problems. The parameters of the cuckoo search are kept constant and the steps of CSA are selection, creation and updating. Problems with multi-objective optimization are solved with the advantage of fitness function. The proposed optimization process is built in JAVA platform and its performance is examined and compared with other existing techniques, the proposed BN-CSA outperforms with fast convergence and less execution time to find the most optimized fitness value.