NDLI: Optimized Service Discovery Using QoS Based Ranking: A Fuzzy Clustering and Particle Swarm Optimization Approach

Content Provider	IEEE Xplore Digital Library
Author	Mohana, R. Dahiya, D.
Copyright Year	2011
Abstract	Web services are the key technologies for the web applications developed using Service Oriented Architecture (SOA). Many outsourced web services can be combined to provide value added services to the users. There are many challenges involved in its implementations. One of the essential challenges is service discovery which involves finding a set of suitable web service candidates faster. When a large number of functionally-equivalent services have been discovered, it is difficult for users to choose which one is to be invoked. Researchers have proposed various techniques for service discovery like ranking the web services based on their Quality of Service (QoS). The various parameters of quality are reliability, security, performance, etc. This paper presents an algorithm for building a rule based model for ranking the web services based on quality of service (QoS) using fuzzy clustering and particle swarm optimization (PSO). In general, the numbers of rules are directly proportional to the number of quality attributes considered for ranking but PSO reduces the number of rules by removing the rules that are having less weight age and will not affect the system. This paper also proposes a new web service reference that behaves as an expert system. It contains a rule base and a reference engine. The rule base consists of all the rules and a reference engine that triggers all these rules and gives the rank of the service as an output.
Starting Page	452
Ending Page	457
File Size	1287111
Page Count	6
File Format	PDF
ISBN	9781457709807
e-ISBN	9780769544595
DOI	10.1109/COMPSACW.2011.82
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2011-07-18
Publisher Place	Germany
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Fuzzy Clustering Quality of service Documentation Throughput Service Oriented Architecture Webservices PSO Best practices Quality of Service (QOS) Reliability Time factors Expert systems Fuzzy Expert System
Content Type	Text
Resource Type	Article

Sl.	Authority	Responsibilities	Communication Details
1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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9	IDR Setup or Support	Queries related to establishment and support of Institutional Digital Repository (IDR) and IDR workshops	idr@ndl.gov.in

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