Discovery and prioritization of web services based on fuzzy user preferences for QoS

Web services are the key technologies for the web applications developed using Service Oriented Architecture (SOA). There are many challenges involved in implementing web services. Some of them are web service selection and discovery which involves matchmaking and finding the most suitable web service from a large collection of functionally-equivalent web services. In this paper a fuzzy-based approach for web service discovery is developed that model the ranking of QoS-aware web services as a fuzzy multi-criteria decision-making problem. To describe the web services available in the registry, ontology is created for each web service; and to represent the functional and imprecise Quality of Service (QoS) preferences of both the web service consumer and provider in linguistics term, fuzzy rule base is created with the help of Java Expert System Shell (JESS) API. To make decisions on multiple and conflicting QoS requirements, enhanced Preference Ranking Organization METHod for Enrichment Evaluation (PROMETHEE) model is adopted for QoS-based web service ranking. To demonstrate the abilities of the proposed framework, a web based system "E-Recruitment System" is implemented.