User-Centric Optimization for Constraint Web Service Composition using a Fuzzy-guided Genetic Algorithm System

TL;DR

This paper presents a user-centric method combining fuzzy logic and genetic algorithms to optimize web service compositions, ensuring they meet user preferences and non-functional constraints effectively.

Contribution

It introduces a novel fuzzy-guided genetic algorithm system that enhances user participation and efficiency in web service composition optimization.

Findings

Improved user participation in service composition process

Enhanced efficiency in finding optimal service configurations

Effective handling of non-functional constraints and user preferences

Abstract

Service-Oriented Applications (SOA) are being regarded as the main pragmatic solution for distributed environments. In such systems, however each service responds the user request independently, it is essential to compose them for delivering a compound value-added service. Since, there may be a number of compositions to create the requested service, it is important to find one which its properties are close to user's desires and meet some non-functional constraints and optimize criteria such as overall cost or response time. In this paper, a user-centric approach is presented for evaluating the service compositions which attempts to obtain the user desires. This approach uses fuzzy logic in order to inference based on quality criteria ranked by user and Genetic Algorithms to optimize the QoS-aware composition problem. Results show that the Fuzzy-based Genetic algorithm system enables user to participate in the process of web service composition easier and more efficient.