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
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;
Conference_Titel :
Software Engineering and Service Science (ICSESS), 2011 IEEE 2nd International Conference on
Conference_Location :
Beijing
Print_ISBN :
978-1-4244-9699-0
DOI :
10.1109/ICSESS.2011.5982246
