NDLI: CAPred: A Prediction Model for Timely QoS

Content Provider	IEEE Xplore Digital Library
Author	Yao Zhao Qi Pi Chengduo Luo Danfeng Yan
Copyright Year	2015
Description	Author affiliation: State Key Lab. of Networking & Switching Technol., Beijing Univ. of Posts & Telecommun., Beijing, China (Yao Zhao; Qi Pi; Chengduo Luo; Danfeng Yan)
Abstract	With the rapidly growing number of Web services, how to identify high quality Web services becomes a hot research topic. User-side QoS evaluation on Web services is a key measurement to choose the optimal Web service from a set of Web services with similar functions. The user-side QoS data is acquired through the invocation of services from different locations. However, in real world, the QoS data of Web services is sparse and not timely. Though there are already a lot of research works on the sparsity and timeliness of QoS data respectively, it's still a lack of a prediction model which can combine both of these features. In order to solve this challenging problem, we put forward a novel model, called CAPred, to provide timely QoS prediction. Our model cut the historical QoS data into several time slices. Each time slice is a 2-dimension matrix. CAPred firstly processes every time slice to fill the empty part of the matrix, then utilizes all of the historical data to predict current QoS values of Web services. And at last we demonstrate two applications, those are recommendation and selection, which utilize the QoS prediction results of our model. The experimental results indicate the high feasibility and efficiency of our model.
Starting Page	599
Ending Page	606
File Size	400768
Page Count	8
File Format	PDF
e-ISBN	9781467372725
DOI	10.1109/ICWS.2015.85
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2015-06-27
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Quality of service Web services Predictive models Time series analysis Data models Reliability Analytical models timeliness Web service QoS prediction sparsity
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
5	Website/Portal (Helpdesk)	Queries regarding NDLI and its services	support@ndl.gov.in
6	Contents and Copyright Issues	Queries related to content curation and copyright issues	content@ndl.gov.in
7	National Digital Library of India Club (NDLI Club)	Queries related to NDLI Club formation, support, user awareness program, seminar/symposium, collaboration, social media, promotion, and outreach	clubsupport@ndl.gov.in
8	Digital Preservation Centre (DPC)	Assistance with digitizing and archiving copyright-free printed books	dpc@ndl.gov.in
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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