A quality feed trust model for data transactions at cloud

  • Authors

    • Usvir Kaur
    • Manish Mahajan
    • Dheerendra Singh
    https://doi.org/10.14419/ijet.v7i3.29.19203
  • Trust Model, QOS, Feedback
  • The cloud is one of the most emerging platforms of the modern world. Although the complete cloud model is going to take a while to act practically the research industry has started focusing on the data storage and futuristic transaction problems.This paper focuses on developing a trust model based on the user authentication and feedbacks.The proposed work combines the authentication structures with a job scheduling models which looks into the partition of the job. The proposed model utilized a feedback solution model to maintain the trust model of the cloud executioner. The evaluation of the proposed work is done on the base of Quality of Service (QoS) parameters. The evaluated parameters are also compared with previous QOS trust model.

     

  • References

    1. [1] M. Ali, S. U. Khan and A. V. Vasilakos, “Security in cloud computing: Opportunities and challengesâ€, Information sciences, vol. 305, pp. 357-383, 2015.

      [2] M. N.Sadiku, S. M. Musa and O. D. Momoh, “Cloud computing: opportunities and challengesâ€, IEEE potentials, vol. 33, no.1, pp. 34-36, 2014.

      [3] N. H.Hussein and A. Khalid, “A survey of Cloud Computing Security challenges and solutionsâ€, International Journal of Computer Science and Information Security, vol.14, no. 1, 52-56 , Jan, 2016.

      [4] V. Chang and M. Ramachandran, “Towards achieving data security with the cloud computing adoption frameworkâ€, IEEE Transactions Services Computing, vol.9, no.1, pp. 138-151, 2016.

      [5] T. Oliveira, M. Thomas and M. Espadanal, “Assessing the determinants of cloud computing adoption: An analysis of the manufacturing and services sectorsâ€, Information & Management, vol. 51, no. 5, pp. 497-510, 2014.

      [6] J. A. González-Martínez, M. L. Bote-Lorenzo, E. Gómez-Sánchez, and R. Cano-Parra, “Cloud computing and education: A state-of-the-art surveyâ€, Computers & Education, vol.80, pp. 132-151, 2015.

      [7] A. Hameed, A. Khoshkbarforoushha, R. Ranjan, P. P. Jayaraman, J. Kolodziej, P Balaji, and S. U. Khan, “A survey and taxonomy on energy efficient resource allocation techniques for cloud computing systemsâ€, Computing, vol. 98, no. 7, pp. 751-774. 2016.

      [8] D. Y. Chang, M. Benantar, J. Y. C. Chang, and V. Venkataramappa, U.S. Patent No. 8,769,622. Washington, DC: U.S. Patent and Trademark Office, 2014.

      [9] R. V Auradkar, and R. P. D'souza, U.S. Patent No. 9,165,154. Washington, DC: U.S. Patent and Trademark Office, 2015.

      [10] S. S. Manvi, and G. K. Shyam, “Resource management for Infrastructure as a Service (IaaS) in cloud computing: A surveyâ€, Journal of Network and Computer Applications, vol. 41, pp.424-440, 2014.

      [11] C. Colman-Meixner, C. Develder, M. Tornatore and B. Mukherjee, “A survey on resiliency techniques in cloud computing infrastructures and applicationsâ€, IEEE Communications Surveys & Tutorials, vol. 18, no.3, pp. 2244-2281, 2016.

      [12] C. Fehling, F. Leymann, R. Retter, W. Schupeck, and P. Arbitter, Cloud computing patterns: fundamentals to design, build, and manage cloud applications, Springer Science & Business Media, 2014.

      [13] M. A. Khan, “A survey of security issues for cloud computingâ€, Journal of network and computer applications, vol. 71, pp. 11-29, 2016.

      [14] A. Shawish and M. Salama, “Cloud computing: paradigms and technologiesâ€, In Inter-cooperative collective intelligence: Techniques and applications Springer, Berlin, Heidelberg, pp. 39-67, 2014.

      [15] S. Singh, Y. S Jeong and J. H. Park, “A survey on cloud computing security: Issues, threats, and solutionsâ€, Journal of Network and Computer Applications, vol. 75, pp. 200-222, 2016.

      [16] R. N. Calheiros, R. Ranjan and R. Buyya, “Virtual machine provisioning based on analytical performance and QoS in cloud computing environmentsâ€, In 2011 international conference on Parallel processing, IEEE, Taiwan, pp. 295-304. Sept. 2011.

      [17] P. Manuel, “A trust model of cloud computing based on Quality of Serviceâ€, Annals of Operations Research, vol. 233 , no.1, pp. 281-292, 2015.

      [18] D. Bruneo, “A stochastic model to investigate data center performance and QoS in IaaS cloud computing systemsâ€, IEEE Transactions on Parallel and Distributed Systems, vol. 25, no.3, pp.560-569, 2014.

  • Downloads

  • How to Cite

    Kaur, U., Mahajan, M., & Singh, D. (2018). A quality feed trust model for data transactions at cloud. International Journal of Engineering & Technology, 7(3.29), 405-408. https://doi.org/10.14419/ijet.v7i3.29.19203