TY - GEN
T1 - Building an expert system for evaluation of commercial Cloud services
AU - Li, Zheng
AU - O'Brien, Liam
AU - Cai, Rainbow
AU - Zhang, He
PY - 2012
Y1 - 2012
N2 - Commercial Cloud services have been increasingly supplied to customers in industry. To facilitate customers' decision makings like cost-benefit analysis or Cloud provider selection, evaluation of those Cloud services are becoming more and more crucial. However, compared with evaluation of traditional computing systems, more challenges will inevitably appear when evaluating rapidly-changing and user-uncontrollable commercial Cloud services. This paper proposes an expert system for Cloud evaluation that addresses emerging evaluation challenges in the context of Cloud Computing. Based on the knowledge and data accumulated by exploring the existing evaluation work, this expert system has been conceptually validated to be able to give suggestions and guidelines for implementing new evaluation experiments. As such, users can conveniently obtain evaluation experiences by using this expert system, which is essentially able to make existing efforts in Cloud services evaluation reusable and sustainable.
AB - Commercial Cloud services have been increasingly supplied to customers in industry. To facilitate customers' decision makings like cost-benefit analysis or Cloud provider selection, evaluation of those Cloud services are becoming more and more crucial. However, compared with evaluation of traditional computing systems, more challenges will inevitably appear when evaluating rapidly-changing and user-uncontrollable commercial Cloud services. This paper proposes an expert system for Cloud evaluation that addresses emerging evaluation challenges in the context of Cloud Computing. Based on the knowledge and data accumulated by exploring the existing evaluation work, this expert system has been conceptually validated to be able to give suggestions and guidelines for implementing new evaluation experiments. As such, users can conveniently obtain evaluation experiences by using this expert system, which is essentially able to make existing efforts in Cloud services evaluation reusable and sustainable.
KW - Cloud computing
KW - Cloud services evaluation
KW - Commercial cloud service
KW - Evaluation experiences
KW - Expert system
UR - http://www.scopus.com/inward/record.url?scp=84874062763&partnerID=8YFLogxK
U2 - 10.1109/CSC.2012.33
DO - 10.1109/CSC.2012.33
M3 - Conference contribution
AN - SCOPUS:84874062763
SN - 9780769549101
T3 - Proceedings of the 2012 International Conference on Cloud Computing and Service Computing, CSC 2012
SP - 168
EP - 175
BT - Proceedings of the 2012 International Conference on Cloud Computing and Service Computing, CSC 2012
T2 - 2012 International Conference on Cloud Computing and Service Computing, CSC 2012
Y2 - 22 November 2012 through 24 November 2012
ER -