Paper Info
Title
On trustworthy federated clouds: A coalitional game approach.
Abstract
The demands for cloud-based applications are expected to increase in such a way that current Cloud Providers’ (CPs) resources may become insufficient. This promotes the need to outsource some of the requested Virtual Machines (VMs) to other CPs. A Cloud Federation (CF) provides an effective platform that enables CPs to upgrade their resource scaling strategies. Several CF approaches have been proposed, but they suffer from the hazard of working with untrusted (malicious or not) CPs, resulting in performance degradation. To address this problem, we introduce a trust-based framework for CF formation. Our model enables a CP to evaluate other CPs’ trustworthiness by considering two approaches: objective and subjective trust evaluations. In the former, Bayesian inference is used to compute trust values based on previous interactions. In the latter, the Dempster-Shafer Theory (DST) integrated with the Bayasian inference is used to compute trust values in the absence of previous interactions. Thereafter, a novel decentralized algorithm is devised, based on coalitional game theory, that allows heterogenous CPs to establish their coalitions in such a way that maximises the trust of the formed federations. Experimental results show that our proposed algorithm enhances throughput, response time and availability of federated CPs compared to the QoS-based and Grand formation models.
Year
DOI
Venue
2018
10.1016/j.comnet.2018.08.009
Computer Networks
Keywords
Field
DocType
Cloud federation,Trust,Virtual machines,Game theory
Bayesian inference,Virtual machine,Inference,Computer science,Quality of service,Outsourcing,Game theory,Throughput,Distributed computing,Cloud computing
Journal
Volume
ISSN
Citations 
145
1389-1286
0
PageRank 
References 
Authors
0.34
40
3
Name
Order
Citations
PageRank
Adel Abusitta183.17
Martine Bellaïche2759.68
Michel R. Dagenais354961.73