Journal of Information Processing Systems

Korea Information Processing Society (한국정보처리학회)
권호 표지
DOI QR코드

DOI QR Code

Dynamic Cloud Resource Reservation Model Based on Trust

  • Qiang, Jiao-Hong (College of Information Engineering, Handan College) ;
  • Ning, Ding-Wan (College of Information Engineering, Handan College) ;
  • Feng, Tian-Jun (School of Computer Science and Technology, Hebei University) ;
  • Ping, Li-Wei (School of Economics and Management, Beijing Jiaotong University)
  • Received : 2017.01.09
  • Accepted : 2017.04.10
  • Published : 2018.04.30
Download PDF
⟨ Previous Next ⟩

Abstract

Aiming at the problem of service reliability in resource reservation in cloud computing environments, a model of dynamic cloud resource reservation based on trust is proposed. A domain-specific cloud management architecture is designed in which resources are divided into different management domains according to the types of service for easier management. A dynamic resource reservation mechanism (DRRM) is used to test users' reservation requests and reserve resources for users. According to user preference, several resources are chosen to be candidate resources by fuzzy cluster analysis. The fuzzy evaluation method and a two-way trust evaluation mechanism are adopted to improve the availability and credibility of the model. An analysis and simulation experiments show that this model can increase the flexibility of resource reservation and improve user satisfaction.

Keywords

References

  1. J. Y. Wu, Q. L. Shen, J. L. Zhang, and Q. Xie, "Cloud computing: cloud security to trusted cloud," Advanced Materials Research, vol. 186, pp. 596-600, 2011. https://doi.org/10.4028/www.scientific.net/AMR.186.596
  2. I. Foster, Y. Zhao, I. Raicu, and S. Lu, "Cloud computing and grid computing 360-degree compared," in Proceedings of the Grid Computing Environments Workshop, Austin, TX, 2008, pp. 1-10.
  3. D. Chen and H. Zhao, "Data security and privacy protection issues in cloud computing," in Proceedings of the International Conference on Computer Science and Electronics Engineering, Hangzhou, China, 2012, pp. 647-651.
  4. S. Sun, C. Yan, and Y. Du, "Analysis on the influence of the cloud computing on the safety assessment technique," in Proceedings of the International Conference on Computer Science and Electronics Engineering, Hangzhou, China, 2012, pp. 285-288.
  5. D. G. Feng, M. Zhang, Y. Zhang, and Z. Xu, "Study on cloud computing security," Journal of Software, vol. 22, no. 1, pp. 71-83, 2011. https://doi.org/10.3724/SP.J.1001.2011.03958
  6. I. Foster, C. Kesselman, C. Lee, B. Lindell, K. Nahrstedt, and A. Roy, "A distributed resource management architecture that supports advance reservations and co-allocation," in Proceedings of the 7th International Workshop on Quality of Service, London, UK, 1999, pp. 27-36.
  7. C. M. Hu, J. P. Huai, T. Y. Wo, and L. Lei, "Service oriented grid architecture with end to end quality of service," Ruan Jian Xue Bao (Journal of Software), vol. 17, no. 6, pp. 1448-1458, 2006.
  8. Z. A. Wu and J. Z. Luo, "Dynamic multi-resource advance reservation in grid environment," in Proceedings of the IFIP International Conference on Network and Parallel Computing, Dalian, China, 2007, pp. 13-22.
  9. K. M. McKeown, "Advance reservation and co-allocation protocol for grid computing," in Proceedings of the 1st International Conference on e-Science and Grid Computing, Melbourne, Australia, 2005, pp. 1-8.
  10. Z. Gao and S. W. Luo, "Dynamic grid resource reservation mechanism based on resource-reservation graph," Ruanjian Xuebao (Journal of Software), vol. 22, no. 10, pp. 2497-2508, 2011.
  11. G. F. Wu and Y. He, "Improved domain-based trust model in grid environment," Computer Engineering, vol. 37, no. 3, pp. 137-139, 2011.
  12. W. Tang and Z. Chen, "Research of subjective trust management model based on the fuzzy set theory," Ruanjian Xuebao (Journal of Software), vol. 14, no. 8, pp. 1401-1408, 2003.
  13. S. W. Cheng and Y. Pan, "Credibility-based dynamic resource distribution strategy under cloud computing environment," Computer Engineering, vol. 37, no. 11, pp. 45-48, 2011.
  14. Y. Yao, J. Lin, J. Wang, N. Mi, and B. Sheng, "Admission control in YARN clusters based on dynamic resource reservation," in Proceedings of the IFIP/IEEE International Symposium on Integrated Network Management, Ottawa, Canada, 2015, pp. 838-841.
  15. C. Ghribi and D. Zeghlache, "Exact and heuristic graph-coloring for energy efficient advance cloud resource reservation," in Proceedings of the IEEE 7th International Conference on Cloud Computing, Anchorage, AK, 2014, pp. 112-119.
  16. Y. Shi, X. Jiang, and K. Ye, "An energy-efficient scheme for cloud resource provisioning based on CloudSim," in Proceedings of the IEEE International Conference on Cluster Computing, Austin, TX, 2011, pp. 595-599.