Secure Grid System for T-Broker: A Trust-Aware Service Brokering Scheme Multiple Cloud Collaborative Services
Main Article Content
Abstract
To facilitate extensive collaborations, today’s organizations raise increasing needs for information sharing via ondemand information access. Information Brokering System (IBS) a top a peer-topeer overlay has been proposed to support information sharing among loosely federated data sources. It consists of diverse data servers and brokering components, which help client queries to locate the data servers. However, many existing IBSs adopt server side access control deployment and honest assumptions on brokers, and shed little attention on privacy of data and metadata stored and exchanged within the IBS. 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.
Article Details
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.
IJCERT Policy:
The published work presented in this paper is licensed under the Creative Commons Attribution 4.0 International (CC BY 4.0) license. This means that the content of this paper can be shared, copied, and redistributed in any medium or format, as long as the original author is properly attributed. Additionally, any derivative works based on this paper must also be licensed under the same terms. This licensing agreement allows for broad dissemination and use of the work while maintaining the author's rights and recognition.
By submitting this paper to IJCERT, the author(s) agree to these licensing terms and confirm that the work is original and does not infringe on any third-party copyright or intellectual property rights.
References
M. Singhal et al., “Collaboration in multicloud computing environments: Framework and security issues,” Computer, vol. 46, no. 2, pp. 76– 84, Feb. 2013.
H. M. Fard, R. Prodan, and T. Fahringer, “A truthful dynamic workflow scheduling mechanism for commercial multicloud environments,” IEEE Trans. Parallel Distrib. Syst., vol. 24, no. 6, pp. 1203–1212, Jun. 2013.
F. Paraiso, N. Haderer, P. Merle, R. Rouvoy, and L. Seinturier, “A federated multi-cloud PaaS infrastructure,” in Proc. 5th IEEE Int. Conf. Cloud Comput. (CLOUD), Jun. 2012, pp. 392–399.
P. Jain, D. Rane, and S. Patidar, “A novel cloud bursting brokerage and aggregation (CBBA) algorithm for multi cloud environment,” in Proc. 2nd Int. Conf. Adv. Comput. Commun. Technol. (ACCT), Jan. 2012, pp. 383–387.
K. M. Khan and Q. Malluhi, “Establishing trust in cloud computing,” IT Prof., vol. 12, no. 5, pp. 20–27, Sep./Oct. 2010. [6] K. Hwang and D. Li, “Trusted cloud computing with secure resources and data coloring,”