DocumentCode :
1328672
Title :
A methodology for analyzing availability weak points in SOA deployment frameworks
Author :
Luo, Jing ; Li, Ying ; Pershing, John A. ; Xie, Lei ; Chen, Ying
Author_Institution :
Res. Lab., IBM China, Beijing, China
Volume :
6
Issue :
1
fYear :
2009
fDate :
3/1/2009 12:00:00 AM
Firstpage :
31
Lastpage :
44
Abstract :
The fundamental characteristics of SOA, loose coupling and on-demand integration, enable organizations to seek more flexibility and responsiveness from their business IT systems. However, this brings challenges to assure QoS, especially availability, which should be considered in an integrated way in an SOA environment. Traditionally, availability is measured for each IT resource, but within SOA environments, rather than being considered individually, availability should be analyzed from an end-to-end view from both business and IT perspectives. In this paper, to address the availability problem of SOA, we propose a methodology that analyzes availability weak points in SOA deployment frameworks, leveraging workflow definitions that specify availability requirements at business level. This methodology includes an effective way to calculate high availability enhancement recommendations for a given SOA deployment topology with near-minimum cost, while meeting the business-level availability requirements. A prototype has been implemented as an extension to IBM´s SOA deployment framework. Its efficiency and performance are analyzed here.
Keywords :
business data processing; software architecture; workflow management software; IBM; IT resource; SOA deployment framework; SOA environment; availability weak points; business IT system; business-level availability requirement; high availability enhancement recommendation; quality of service; service oriented architecture; workflow; Availability; Costs; Delay; Helium; Performance analysis; Prototypes; Quality of service; Semiconductor optical amplifiers; Service oriented architecture; Topology; Availability, SOA, workflow analysis, deployment optimization.;
fLanguage :
English
Journal_Title :
Network and Service Management, IEEE Transactions on
Publisher :
ieee
ISSN :
1932-4537
Type :
jour
DOI :
10.1109/TNSM.2009.090303
Filename :
5331279
Link To Document :
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