eprintid: 4519
rev_number: 2
eprint_status: archive
userid: 1
dir: disk0/00/00/45/19
datestamp: 2023-11-09 16:16:12
lastmod: 2023-11-09 16:16:12
status_changed: 2023-11-09 15:58:36
type: article
metadata_visibility: show
creators_name: Hasan, M.H.
creators_name: Jaafar, J.
creators_name: Hassan, M.F.
title: Development of Web services fuzzy quality models using data clustering approach
ispublished: pub
keywords: Clustering algorithms; Fuzzy clustering; Fuzzy systems; Web services; Websites, Adaptive mechanism; Clustering; Data clustering; Fuzzy C mean; Fuzzy C-means algorithms; Fuzzy qualities; QoS monitoring; Qos performance, Quality of service
note: cited By 5; Conference of 1st International Conference on Advanced Data and Information Engineering, DaEng 2013 ; Conference Date: 16 December 2013 Through 18 December 2013; Conference Code:102583
abstract: This paper presents the fuzzy clustering of web services' quality of service (QoS) data using Fuzzy C-Means (FCM) algorithm. It was conducted based on actual QoS data gathered from the network. The work involved three data sets that represented three different QoS parameters. Each data set contained 1500 data points. The clustering was validated using Xie-Beni index to ensure that it performed optimally. As a result, three fuzzy quality models were produced that represented the three QoS parameters. The work implies potential new findings on fuzzy-based web services' applications, mainly in reducing computational complexity. The work also benefits the less technical-knowledgeable requestors as the fuzzy quality models can guide them to find services with realistic QoS performance. For future work, the fuzzy quality models will be employed in web services' QoS monitoring application. They will also be equipped with an adaptive mechanism that supports the dynamic nature of web services. © Springer Science+Business Media Singapore 2014.
date: 2014
publisher: Springer Verlag
official_url: https://www.scopus.com/inward/record.uri?eid=2-s2.0-84958525875&doi=10.1007%2f978-981-4585-18-7_71&partnerID=40&md5=bc4935cef15a33c6984490f16bb75966
id_number: 10.1007/978-981-4585-18-7₇₁
full_text_status: none
publication: Lecture Notes in Electrical Engineering
volume: 285 LN
place_of_pub: Kuala Lumpur
pagerange: 631-640
refereed: TRUE
isbn: 9789814585170
issn: 18761100
citation:   Hasan, M.H. and Jaafar, J. and Hassan, M.F.  (2014) Development of Web services fuzzy quality models using data clustering approach.  Lecture Notes in Electrical Engineering, 285 LN.  pp. 631-640.  ISSN 18761100