• 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