QoS aware Automatic Web Service Composition with Multiple objectives

TL;DR

This paper addresses the complex challenge of composing web services with multiple QoS constraints by proposing three approaches, including an optimal method and heuristics, and demonstrates their effectiveness through experiments.

Contribution

It introduces three novel approaches for multi-objective QoS-aware web service composition, including an optimal Pareto-based method and two heuristics, with comprehensive performance evaluation.

Findings

Heuristic methods perform comparably to the optimal approach.

Proposed methods outperform classical approaches on benchmark datasets.

Effective multi-objective optimization for web service composition.

Abstract

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.