A Trust Evaluation Mechanism for Collaboration of Data-Intensive Services in Cloud

Trust and reputation for services emerges as an important issue in cloud computing. Since data-intensive services in cloud have been used in more and more fields, trust evaluation for collaboration of services meets more challenges. There are not only logical dependencies but also data dependencies among partner services when data-intensive services take part in collaboration. This paper proposes a novel trust evaluation method for collaborations of data-intensive services. It considers not only the trust for individual partner services and the explicit trust relation among partner services that have logical dependencies for each other, but also the implicit trust relation implied in data-dependencies among services. A serial of experiments, using the simulation tool NetLogo, are carried out to compare the evaluation results between the proposed method and the method without data-dependency consideration. The result shows that taking consideration of the data-dependency trust improves the accuracy of trust evaluation to a great extent.

[1]  Audun Jøsang,et al.  Semantic Constraints for Trust Transitivity , 2005, APCCM.

[2]  Huajun Chen,et al.  A Computational Trust Model for Semantic Web Based on Bayesian Decision Theory , 2006, APWeb.

[3]  David W. Chadwick,et al.  The TrustCoM Approach to Enforcing Agreements between Interoperating Enterprises , 2006, I-ESA.

[4]  Philip Robinson,et al.  PathTrust: A Trust-Based Reputation Service for Virtual Organization Formation , 2006, iTrust.

[5]  Audun Jøsang,et al.  A survey of trust and reputation systems for online service provision , 2007, Decis. Support Syst..

[6]  Julita Vassileva,et al.  A Review on Trust and Reputation for Web Service Selection , 2007, 27th International Conference on Distributed Computing Systems Workshops (ICDCSW'07).

[7]  Li Hai.  A Capability Enhanced Trust Evaluation Model for Web Services , 2008 .

[8]  Vijay Varadharajan,et al.  Trust Management for Web Services , 2008, 2008 IEEE International Conference on Web Services.

[9]  Athman Bouguettaya,et al.  Web Services Reputation Assessment Using a Hidden Markov Model , 2009, ICSOC/ServiceWave.

[10]  Denis Trcek,et al.  Qualitative trust modeling in SOA , 2009, J. Syst. Archit..

[11]  Athman Bouguettaya,et al.  Reputation Propagation in Composite Services , 2009, 2009 IEEE International Conference on Web Services.

[12]  Sharon Paradesi,et al.  Integrating Behavioral Trust in Web Service Compositions , 2009, 2009 IEEE International Conference on Web Services.

[13]  Yue Xu,et al.  An Analysis of Trust Transitivity Taking Base Rate into Account , 2009, 2009 Symposia and Workshops on Ubiquitous, Autonomic and Trusted Computing.

[14]  Athman Bouguettaya,et al.  RATEWeb: Reputation Assessment for Trust Establishment among Web services , 2009, The VLDB Journal.

[15]  Athman Bouguettaya,et al.  A Fuzzy Trust Management Framework for Service Web , 2010, 2010 IEEE International Conference on Web Services.

[16]  Hong Zhu,et al.  Measurement of Trust Transitivity in Trustworthy Networks , 2010 .

[17]  Jian Yang,et al.  A Trust and Reputation Model Based on Bayesian Network for Web Services , 2010, 2010 IEEE International Conference on Web Services.

[18]  Hamdi Yahyaoui,et al.  Trust Assessment for Web Services Collaboration , 2010, 2010 IEEE International Conference on Web Services.

[19]  Zhang Min,et al.  Study on Cloud Computing Security , 2011 .