Open AccessQoS Based Discovery and Service Provider System
Author(s) -
R. Pradheep Kumar,
. Lavanya,
R. Karthika,
B Harshini
Publication year - 2019
Publication title -
international journal of scientific research in science and technology
Language(s) - English
Resource type - Journals
eISSN - 2395-602X
pISSN - 2395-6011
DOI - 10.32628/ijsrst196170
Subject(s) - computer science , web service , service (business) , context (archaeology) , layer (electronics) , service layer , ranking (information retrieval) , matching (statistics) , information retrieval , set (abstract data type) , service discovery , semantic matching , database , quality of service , data mining , world wide web , computer network , paleontology , chemistry , statistics , economy , mathematics , organic chemistry , economics , biology , programming language
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.