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The Journal of Supercomputing

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12-04-2017

A rough set-based hypergraph trust measure parameter selection technique for cloud service selection

Authors: Nivethitha Somu, Kannan Kirthivasan, V. S. Shankar Sriram

Published in: The Journal of Supercomputing | Issue 10/2017

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Abstract

Selection of trustworthy cloud services has been a major research challenge in cloud computing, due to the proliferation of numerous cloud service providers (CSPs) along every dimension of computing. This scenario makes it hard for the cloud users to identify an appropriate CSP based on their unique quality of service (QoS) requirements. A generic solution to the problem of cloud service selection can be formulated in terms of trust assessment. However, the accuracy of the trust value depends on the optimality of the service-specific trust measure parameters (TMPs) subset. This paper presents TrustCom—a novel trust assessment framework and rough set-based hypergraph technique (RSHT) for the identification of the optimal TMP subset. Experiments using Cloud Armor and synthetic trust feedback datasets show the prominence of RSHT over the existing feature selection techniques. The performance of RSHT was analyzed using Weka tool and hypergraph-based computational model with respect to the reduct size, time complexity and service ranking.

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Title: A rough set-based hypergraph trust measure parameter selection technique for cloud service selection
Authors: Nivethitha Somu
Kannan Kirthivasan
V. S. Shankar Sriram
Publication date: 12-04-2017
Publisher: Springer US
Published in: The Journal of Supercomputing / Issue 10/2017
Print ISSN: 0920-8542
Electronic ISSN: 1573-0484
DOI: https://doi.org/10.1007/s11227-017-2032-8

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