DocumentCode
1764320
Title
T-Broker : A Trust-Aware Service Brokering Scheme for Multiple Cloud Collaborative Services
Author
Xiaoyong Li ; Huadong Ma ; Feng Zhou ; Wenbin Yao
Author_Institution
Key Lab. of Trustworthy Distrib. Comput. & Service, Beijing Univ. of Posts & Telecommun., Beijing, China
Volume
10
Issue
7
fYear
2015
fDate
42186
Firstpage
1402
Lastpage
1415
Abstract
Oriented by requirement of trust management in multiple cloud environment, this paper presents T-broker, a trust-aware service brokering scheme for efficient matching cloud services (or resources) to satisfy various user requests. First, a trusted third party-based service brokering architecture is proposed for multiple cloud environment, in which the T-broker acts as a middleware for cloud trust management and service matching. Then, T-broker uses a hybrid and adaptive trust model to compute the overall trust degree of service resources, in which trust is defined as a fusion evaluation result from adaptively combining the direct monitored evidence with the social feedback of the service resources. More importantly, T-broker uses the maximizing deviation method to compute the direct experience based on multiple key trusted attributes of service resources, which can overcome the limitations of traditional trust schemes, in which the trusted attributes are weighted manually or subjectively. Finally, T-broker uses a lightweight feedback mechanism, which can effectively reduce networking risk and improve system efficiency. The experimental results show that, compared with the existing approaches, our T-broker yields very good results in many typical cases, and the proposed system is robust to deal with various numbers of dynamic service behavior from multiple cloud sites.
Keywords
cloud computing; groupware; middleware; trusted computing; T-Broker; cloud trust management; lightweight feedback mechanism; matching cloud services; middleware; multiple cloud collaborative services; multiple cloud environment; service brokering architecture; service matching; service resources; social feedback; trust aware service brokering scheme; trust degree; trust management; Adaptation models; Cloud computing; Computational modeling; Computer architecture; Monitoring; Real-time systems; Security; Multiple cloud computing; brokering; feedback aggregation; resource matching; trust-aware service; trust-aware service brokering;
fLanguage
English
Journal_Title
Information Forensics and Security, IEEE Transactions on
Publisher
ieee
ISSN
1556-6013
Type
jour
DOI
10.1109/TIFS.2015.2413386
Filename
7060648
Link To Document