DocumentCode
1763051
Title
SelCSP: A Framework to Facilitate Selection of Cloud Service Providers
Author
Ghosh, Nirnay ; Ghosh, Soumya K. ; Das, Sajal K.
Author_Institution
Sch. of Inf. Technol., Indian Inst. of Technol., Kharagpur, Kharagpur, India
Volume
3
Issue
1
fYear
2015
fDate
Jan.-March 1 2015
Firstpage
66
Lastpage
79
Abstract
With rapid technological advancements, cloud marketplace witnessed frequent emergence of new service providers with similar offerings. However, service level agreements (SLAs), which document guaranteed quality of service levels, have not been found to be consistent among providers, even though they offer services with similar functionality. In service outsourcing environments, like cloud, the quality of service levels are of prime importance to customers, as they use third-party cloud services to store and process their clients´ data. If loss of data occurs due to an outage, the customer´s business gets affected. Therefore, the major challenge for a customer is to select an appropriate service provider to ensure guaranteed service quality. To support customers in reliably identifying ideal service provider, this work proposes a framework, SelCSP, which combines trustworthiness and competence to estimate risk of interaction. Trustworthiness is computed from personal experiences gained through direct interactions or from feedbacks related to reputations of vendors. Competence is assessed based on transparency in provider´s SLA guarantees. A case study has been presented to demonstrate the application of our approach. Experimental results validate the practicability of the proposed estimating mechanisms.
Keywords
cloud computing; contracts; quality of service; trusted computing; SLA guarantee; SelCSP framework; cloud marketplace; cloud service providers; interaction risk estimation; quality of service; service competence; service functionality; service level agreement; service provider; service trustworthiness; third-party cloud services; Business; Cloud computing; Computational modeling; Context; Estimation; Mathematical model; Reliability; Cloud; competence; control; performance risk; relational risk; reputation; service level agreement; service provider; transparency; trust;
fLanguage
English
Journal_Title
Cloud Computing, IEEE Transactions on
Publisher
ieee
ISSN
2168-7161
Type
jour
DOI
10.1109/TCC.2014.2328578
Filename
6858002
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