DocumentCode
3140675
Title
A Pattern-Based Approach to Cloud Transformation
Author
Chee, Yi-Min ; Zhou, Nianjun ; Meng, Fan Jing ; Bagheri, Saeed ; Zhong, Peide
Author_Institution
T.J. Watson Res. Center, IBM, Hawthorne, NY, USA
fYear
2011
fDate
4-9 July 2011
Firstpage
388
Lastpage
395
Abstract
With the growing interest in cloud computing, more and more businesses are looking not only to migrate their applications to the cloud but also to transform them to better leverage capabilities that are provided by cloud platforms or to enable new business models that are facilitated by the cloud. One problem clients face in this area is a lack of experience and knowledge as to how best to accomplish this transformation. We propose a Cloud Transformation Advisor (CTA) which helps users to select appropriate enablement patterns from a knowledge base of best practices when performing transformation planning. This knowledge base uses a structured representation to capture application information, cloud platform capability information, and enablement pattern information in order to facilitate pattern selection. We describe this representation and a mathematical model which leverages it to choose the "best" combination of patterns for a given transformation problem. We present an example which illustrates the approach, and describe the usage of the CTA.
Keywords
cloud computing; knowledge based systems; planning (artificial intelligence); CTA; application information; business models; cloud computing; cloud platform capability information; cloud transformation advisor; enablement pattern information; knowledge base; mathematical model; pattern selection; pattern-based approach; transformation planning; Best practices; Cloud computing; Context; Knowledge based systems; Pattern matching; Transforms; advisor; cloud computing; patterns; transformation;
fLanguage
English
Publisher
ieee
Conference_Titel
Cloud Computing (CLOUD), 2011 IEEE International Conference on
Conference_Location
Washington, DC
ISSN
2159-6182
Print_ISBN
978-1-4577-0836-7
Electronic_ISBN
2159-6182
Type
conf
DOI
10.1109/CLOUD.2011.86
Filename
6008734
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