A Heuristic Approach for Web-Service Discovery and Selection

TL;DR

This paper introduces a heuristic 'Bees Algorithm' inspired by honey bee behavior to efficiently discover and select web services in large B2B environments, considering QoS properties to meet customer needs.

Contribution

It presents a novel heuristic approach using Bees Algorithm for faster web service discovery and selection with QoS considerations in large-scale environments.

Findings

Reduces discovery time for web services

Effectively incorporates QoS properties in selection

Improves accuracy of matching customer requirements

Abstract

In today's businesses, service-oriented architectures represent the main paradigm for IT infrastructures. Indeed, the emergence of Internet made it possible to set up an exploitable environment to distribute applications on a large scale, and this, by adapting the notion of "service". With the integration of this paradigm in Business to Business Domain (B2B), the number of web services becomes very significant. Due to this increase, the discovery and selection of web services meeting customer requirement become a very difficult operation. Further, QoS properties must be taking into account in the web service selection. Moreover, with the significant number of web service, necessary time for the discovery of a service will be rather long. In this paper, we propose an approach based on a new heuristic method called "Bees Algorithm" inspired from honey bees behavior. We use this technique of optimization in order to discover appropriate web services, meeting customer requirements, in least time and taking into account the QoS properties.