Manuscript Number : IJSRST196170
QoS Based Discovery and Service Provider System
Authors(4) :-Ramesh Kumar, Lavanya V, Karthika R, Harshini B We propose a two-step, context-based semantic approach to the problem of matching and ranking Web services for possible service composition. Semantic understanding of Web services may provide added value by identifying new possibilities for compositions of services and context-based semantic. The semantic matching ranking approach is unique since it provides the Web service designer with an explicit numeric estimation of the extent to which a possible composition. This process consists of multiple services that can be executed in sequence or in a parallel process. Given a service request, a set of candidates (available services and service patterns) is dynamically generated layer by layer from inputs to outputs of this request. For each layer, the algorithm traverses a priori search space which is a set of service patterns from historical solutions, then it searches available services from the repositories. That means each layer contains all services and service patterns that can be executed with a set of outputs provided by previous layers. The search process terminates until all the outputs of a request are obtained.
Ramesh Kumar QoS Based Discovery, Web service, Service Oriented Architecture, Internet of Things, CDMA, EPC, Bootstrapping Ontologies, CTM, Frequent Subgraph Mining, WSDL, FCA, CBR Publication Details
Published in : Volume 6 | Issue 2 | March-April 2019 Article Preview
Dhanalakshmi College of Engineering, Erumaiyur, Tamil Nadu, India
Lavanya V
Dhanalakshmi College of Engineering, Erumaiyur, Tamil Nadu, India
Karthika R
Dhanalakshmi College of Engineering, Erumaiyur, Tamil Nadu, India
Harshini B
Dhanalakshmi College of Engineering, Erumaiyur, Tamil Nadu, India
Date of Publication : 2019-03-30
License: This work is licensed under a Creative Commons Attribution 4.0 International License.
Page(s) : 197-204
Manuscript Number : IJSRST196170
Publisher : Technoscience Academy
Journal URL : https://ijsrst.com/IJSRST196170
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