Mapping a fuzzy logic approach for QoS-aware service selection on current web service standards

Abstract

Abstract-We propose FQ (Fuzzy-QoS), a complete architecture for including user preferences and quality of service characteristics in the selection process of web services. Besides the flexibility of the selection and ranking algorithm, we consider of equal importance the properties of the implementation: compliance with standards, backwards compatibility and compatibility with non-FQ users, and performance of the selection mechanisms implementation.We present our approach that relies on a combination of two standards from the domain of web service and semantic web technologies: UDDI, for storing and retrieving syntactic and semantic information about web services and SAWSDL, for creating semantically annotated web service descriptions.

A Cooperative Answering Approach to Fuzzy Preferences Queries in Service Discovery

“…One way to discriminate between such similar services is to consider non-functional requirements such as QoS (Quality of Service) (e.g., response time, throughput, availability and reliability). A recent trend towards quality-aware approaches has been initiated [13,1,18], but remains limited and not satisfactory for generic process model discovery.…”

“…Hafeez et al [6] present a service selection mechanism allowing the service broker to intelligently select a set of available services from a user query with imprecise constraints defined by fuzzy sets. The query evaluation is based on the aggregation of the obtained degrees over constraints.Şora et al [1] propose an approach in which they automatically generate fuzzy rules from user preferences and rank the candidate services using a fuzzy inference process.…”

An Approach Based on Fuzzy Sets to Selecting and Ranking Business Processes

“…p 5 : & (p 2 , p 3 ) is a complex preference composed of atomic preferences p 2 and p 3 ; it means that p 2 is more important than p 3 . p 7 : ⊗ (p 3 , p 4 ) is a complex preference composed of atomic preferences p 3 and p 4 ; it means that p 3 and p 4 are equally important. Considering that each atomic preference p i has a satisfiability degree δ i , a new satisfiability degree δ i is computed taking into account the weight ω i underlying p i in the spirit of [6].…”

“…The existing fuzzy approaches [13], [4] take into account only the satisfiability of preferences whereas they ignore the structural similarity of web services. In addition, most of them do not verify the subjectivity property, which considers the user point of view when defining the membership functions.…”

“…A recent trend towards quality-aware approaches has been initiated [4], [5], but it is limited to atomic services. Our goal is to go further these approaches into a unique integrated approach dealing with functional and non-functional requirements in service retrieval.…”