DocumentCode
2727570
Title
Analysis of data clustering support for service
Author
Zhao, YunWei ; Chi, Chi-hung ; Ding, Chen
Author_Institution
Sch. of Software, Tsinghua Univ., Beijing, China
fYear
2011
fDate
15-17 July 2011
Firstpage
27
Lastpage
30
Abstract
With the current direction of service and cloud, unique characteristics of online software services impose new algorithmic requirements and cause differential applicability/ suitability of different clustering approaches in service analytics. In this paper, we investigate the efficiency and effectiveness of current important data clustering techniques, partitioning and hierarchical, for service analytics. It is our goal that results from this paper will serve as requirement guidelines for developing and deploying future intelligence services.
Keywords
cloud computing; pattern clustering; cloud computing; data clustering support; hierarchical clustering; partition clustering; service analytics; software-as-a-service; Algorithm design and analysis; Clustering algorithms; Software services; data clustering; intelligence computation; quality of service; service analytics;
fLanguage
English
Publisher
ieee
Conference_Titel
Software Engineering and Service Science (ICSESS), 2011 IEEE 2nd International Conference on
Conference_Location
Beijing
Print_ISBN
978-1-4244-9699-0
Type
conf
DOI
10.1109/ICSESS.2011.5982246
Filename
5982246
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