QoS aware Automatic Web Service Composition with Multiple objectives
This addresses the challenge of ensuring end-to-end QoS guarantees in web service composition for users, though it appears incremental as it builds on existing problem settings.
The paper tackles the multi-objective QoS-aware web service composition problem by proposing an optimal Pareto front method and two heuristic approaches, demonstrating their effectiveness over classical methods on WSC-2009 and ICEBE-2005 datasets.
With an increasing number of web services, providing an end-to-end Quality of Service (QoS) guarantee in responding to user queries is becoming an important concern. Multiple QoS parameters (e.g., response time, latency, throughput, reliability, availability, success rate) are associated with a service, thereby, service composition with a large number of candidate services is a challenging multi-objective optimization problem. In this paper, we study the multi-constrained multi-objective QoS aware web service composition problem and propose three different approaches to solve the same, one optimal, based on Pareto front construction and two other based on heuristically traversing the solution space. We compare the performance of the heuristics against the optimal, and show the effectiveness of our proposals over other classical approaches for the same problem setting, with experiments on WSC-2009 and ICEBE-2005 datasets.