Adaptive and optimized meta-heuristic framework for establishing QoS and transaction properties-based dynamic web service composition

Abstract

The dynamic web service composition based on QoS and transactional properties is considered to be the most important challenging research issues. Most of the works explored in the area of dynamic web service composition have mainly focused on some specific QoS parameters, which avoid potential factors from utilization. Further, the transaction properties also play a vital role in handling uncertainty which introduces most vital functionalities into the reactive environment. In this paper, an Adaptive and Optimized Meta-Heuristic Framework (AOMHF) is proposed for establishing dynamic web service composition based on QoS and transaction properties. This proposed AOMHF framework considered the user preferences and unpredictable service QoS for achieving reliable dynamic web service composition. This proposed AOMHF framework is developed as a dual staged web service composition scheme which incorporates the merits of monitoring mechanism which improves the possibility of improving and guaranteeing reliability and availability under reliable web service composition.