QOS Aware Self Adaptable Virtual Machines Management System for Cloud Computing

  • Authors

    • J. Selvin Paul Pete
    • G. Mahadevan
    • S. Selvakumar
    2018-11-27
    https://doi.org/10.14419/ijet.v7i4.19.22043
  • .

  • Abstract

    Cloud Computing as of now is the most important distributed environment because of low level user management and system integration. But most important challenge cloud computing faces is effective resource provisioning, Solving the issue will result in effective consumption of service offered, better user satisfaction and resources for more people during peak hours, reduce operational burden to cloud service providers and less pay to clients. Current works are aimed at determining the usage, VM (Virtual Machine) establishment and setting up. The above process requires considerable time to construct and kill VMs which may be used to cater more user. So here we have provided, a Quality of Service Aware Virtual Machine management mechanism for creating new VM’s that makes use of the system resources efficiently. The existing VM for related type of requests are identified to minimize VM creation time. In our system, QOS is guaranteed by making all tasks adhere to the SLA necessities. Services are divided using need of the hour and the critical job is given higher significance. The experimental results show that a large number of users are serviced in relation to others algorithm which will fulfil clients needs during the peak traffic. 

     

  • References

    1. [1] G. Lodi, F. Panzer, D. Rossi and E. Turin, “SLA-Driven Clustering of QoS-Aware Application Servers,†in IEEE Transactions on Software Engineering, VOL. 33, NO. 3, pp. 186-197, March 2007.

      [2] V. Stanched and C. Schroder, “Negotiating and Enforcing QoS and SLAs in Grid and Cloud Computing,†in GPC ’09 Proceedings of the 4th International Conference on Advances in Grid and Pervasive Computing, November 2009.

      [3] X. Wang, Z. Du, X. Liu, H. Xin, X. Jian, “An adaptive QoS management framework for Void cloud service centers. 2010 International Conference on Computer Application and System Modeling (ICCASM), Volume: 1, 2010, pp. 527-532.

      [4] Y. Ye, N. Jain, L. Xia, S. Joshi, I-L. Yen, F. Bastani, K. L. Cureton, M. K. Bowler, “A Framework for QoS and Power Management in a Service Cloud Environment with Mobile Devices†in 2010 Fifth IEEE International Symposium on Service Oriented System Engineering (SOSE), pp. 236 - 243.

      [5] Q. Li, Q. Hao, L. Xiao and Z. Li, “Adaptive Management of Virtualized Resources in Cloud Computing Using Feedback Control,†in 2009 1st International Conference on Information Science and Engineering (ICISE), pp. 99 - 102, 2009.

      [6] Y. Xiao, C. Lin, Y. Jiang, X Chu and X. Shen, “Reputation-Based QoS Provisioning in Cloud Computing via Dirichlet Multinomial Model,†in 2010 IEEE International Conference on Communications (ICC), pp. 1 - 5, 2010.

      [7] X. Meng, C. Isci, J. Kephart, L. Zhang and E. Bouillet, “Efficient Resource Provisioning in Compute Clouds via VM Multiplexing,†in ICAC10, 2010. 467

      [8] D. Ardagna, G. Casale, M. Ciavotta, J. F. Perez, W. Wang, “Quality-of-Service in cloud computing: modelling techniques and their applicationsâ€, Journal of Internet Services and Applications, Volume: 5, Issue: 11, pp.1-13, 2014.

      [9] R. Nathuji, A. Kansal and A. Ghaffarkhah, “Q-Clouds: Managing Performance Interference Effects for QoS-Aware Clouds,†in EuroSys10, 2010.

      [10] L. Bin, Y.Jiong, S. Hua, N. Mei, “A QoS-aware dynamic data replica deletion strategy for distributed storage systems under cloud computing environmentsâ€, in Proc. Second Int. Conf. on Cloud and Green Computing, pp. 219-225, 2012.

      [11] P. Zhang and Z. Yan, “A QoS-AWARE SYSTEM FOR MOBILE CLOUD COMPUTING,†in Proceedings of IEEE CCIS2011, 2011.

      [12] Y. Xiao, C. Lin, Y. Yiang, X. Chu, X. Shen, “Reputation-based QoS provisioning in cloud computing via Dirichletmultinomial modelâ€, IEEE ICC Proceedings, pp. 1-5 2010.

      [13] T. C. Chieu, A. Mohindra, A. A. Karve, and A. Segal, “Dynamic scaling of web applications in a virtualized cloud computing environment,†in Proceedings of the 6th International Conference on e-Business Engineering (ICEBE09), 2009.

      [14] R. Nathuji and K. Schwan, “Virtual power: Coordinated power management in virtualized enterprise systems,†in ACM SIGOPS Operating Systems Review, vol. 41, no.6, pp. 265278, 2007.

      [15] P. C. Hershey, S. Rao, C. B. Silio and A. Narayan, “System of systems for Quality-of-Service observation and response in cloud computing environmentâ€, IEEE Systems Journal, Volume: 9,Issue:1, pp. 1-5, 2015.

      [16] M. Salam and A. Shawish, “A QoS-oriented inter-cloud federation frameworkâ€, IEEE Systems Journal, pp. 642-643, 2015.

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  • How to Cite

    Selvin Paul Pete, J., Mahadevan, G., & Selvakumar, S. (2018). QOS Aware Self Adaptable Virtual Machines Management System for Cloud Computing. International Journal of Engineering & Technology, 7(4.19), 177-181. https://doi.org/10.14419/ijet.v7i4.19.22043

    Received date: 2018-11-28

    Accepted date: 2018-11-28

    Published date: 2018-11-27