NDLI: Adaptive Quality Recommendation Mechanism for Software Service Provisioning

Content Provider	IEEE Xplore Digital Library
Author	SiMing Li Chen Ding Chi-Hung Chi Jianming Deng
Copyright Year	2008
Description	Author affiliation: Sch. of Software, Southeast Univ., Nanjing (Jianming Deng) \|\| Sch. of Comput. Sci., Ryerson Univ., Toronto, ON (Chen Ding) \|\| Sch. of Software, Tsinghua Univ., Beijing (SiMing Li; Chi-Hung Chi)
Abstract	In this paper, we propose an adaptive quality recommendation mechanism to help software service providers understand the dynamism of quality demand from the majority of requesters accurately. The unique feature of our approach is that based on the intra-cluster proximity index (called the icp-index) that we propose, the granularity of service clustering can be adjusted dynamically to meet the wide variation of service providers who want to target their services to different groups of clients. Experiments show that our approach is more accurate and flexible to identify the need of service quality of requesters than existing solutions such as simple averaging, minimum-maximum-mean, or traditional interval-range data clustering.
Starting Page	169
Ending Page	176
File Size	246718
Page Count	8
File Format	PDF
ISBN	9780769533100
DOI	10.1109/ICWS.2008.120
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2008-09-23
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Software quality Quality of service Service oriented architecture Performance analysis Web services Computer science Engineering management Publishing Monitoring recommendations Service quality requirements
Content Type	Text
Resource Type	Article

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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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