Energy efficient medicinal services framework in inter cloud architecture

  • Authors

    • J. K.Jeevitha PSNACET
    • Dr. G.Athisha PSNACET
    • Dr. K.Sabeetha PSNACET
    • P. Pradeepa PSNACET
    2019-04-03
    https://doi.org/10.14419/ijet.v7i4.12866
  • Cloud Computing, Data Center, VM Migration, Interoperability, CompatibleOne.

  • Abstract

    The wellbeing division is currently motivated by different businesses to exploit the advantage of distributed computing regarding expense and adaptability, without bargaining information security. To be sure, the restorative field has an exponential number of information that requires a created framework and a high stockpiling and filing limit, so the way toward preparing the patient's data is moderate and can return mistaken outcomes. Considering the expanding requests set on social insurance suppliers for foundation, frameworks and support, distributed computing innovation can enormously enhance the level of human services administrations; it will be the suitable answer for address the issues for mind coordination, joint effort and correspondence between the diverse performing artists (specialists, patients, chairmen, engineers… ) in the wellbeing field. With a specific end goal to execute the undertaking " family wellbeing book", we require a design demonstrate that will be founded on distributed computing while at the same time offering QoS (Quality of Service) required, to address this issue, we propose in this article an answer in view of the utilization of a cloud merchant open source in a between cloud condition, so as to permit the innovative recharging of our foundation while decreasing both the season of access to the administrations asked for by the clients, the dissemination of the vitality and the quantity of datacenters introduced. Assessment comes about showed that our design has accomplished great exhibitions.

     

     

  • References

    1. [1] Mell, P., &Grance, T. (2009). The NIST definition of cloud computing. National institute of standards and technology, 53(6), 50.

      [2] Martin-Flatin, J. P. (2014). Challenges in Cloud Management. IEEE Cloud Computing, 1(1), 66-70.https://doi.org/10.1109/MCC.2014.4.

      [3] Yangui, S., Marshall, I. J., Laisne, J. P., & Tata, S. (2014). CompatibleOne: The open source cloud broker. Journal of Grid Computing, 12(1), 93-109.https://doi.org/10.1007/s10723-013-9285-0.

      [4] Jula, A., Sundararajan, E., & Othman, Z. (2014). Cloud computing service composition: A systematic literature review. Expert systems with applications, 41(8), 3809-3824.https://doi.org/10.1016/j.eswa.2013.12.017.

      [5] Manvi, S. S., &Shyam, G. K. (2014). Resource management for Infrastructure as a Service (IaaS) in cloud computing: A survey. Journal of network and computer applications, 41, 424-440.https://doi.org/10.1016/j.jnca.2013.10.004.

      [6] Kourtesis, D., Alvarez-Rodríguez, J. M., &Paraskakis, I. (2014). Semantic-based QoS management in cloud systems: Current status and future challenges. Future Generation Computer Systems, 32, 307-323. [7] Grivas, S. G., Kumar, T. U., &Wache, H. (2010, July). Cloud broker: Bringing intelligence into the cloud. In Cloud Computing (CLOUD), 2010 IEEE 3rd International Conference on (pp. 544-545). IEEE.

      [7] Pawar, P. S., Rajarajan, M., Dimitrakos, T., & Zisman, A. (2014, July). Trust assessment using cloud broker. In IFIP International Conference on Trust Management (pp. 237-244). Springer, Berlin, Heidelberg.https://doi.org/10.1007/978-3-662-43813-8_18.

      [8] Giacobbe, M., Celesti, A., Fazio, M., Villari, M., &Puliafito, A. (2015, April). An approach to reduce carbon dioxide emissions through virtual machine migrations in a sustainable cloud federation. In Sustainable Internet and ICT for Sustainability (SustainIT), 2015 (pp. 1-4). IEEE.https://doi.org/10.1109/SustainIT.2015.7101383.

      [9] Fu, X., & Zhou, C. (2015). Virtual machine selection and placement for dynamic consolidation in Cloud computing environment. Frontiers of Computer Science, 9(2), 322-330.https://doi.org/10.1007/s11704-015-4286-8.

      [10] Toosi, A. N., Calheiros, R. N., &Buyya, R. (2014). Interconnected cloud computing environments: Challenges, taxonomy and survey. ACM Computing Surveys (CSUR), 47(1), 7.https://doi.org/10.1145/2593512.

      [11] Assis, M. R., &Bittencourt, L. F. (2016). A survey on cloud federation architectures: Identifying functional and non-functional properties. Journal of Network and Computer Applications, 72, 51-71https://doi.org/10.1016/j.jnca.2016.06.014.

      [12] Petcu, D. (2011). Portability and interoperability between clouds: challenges and case study. In European Conference on a Service-Based Internet (pp. 62-74). Springer, Berlin, Heidelberg.https://doi.org/10.1007/978-3-642-24755-2_6.

      [13] Buyya, R., Ranjan, R., &Calheiros, R. N. (2010, May). Intercloud: Utility-oriented federation of cloud computing environments for scaling of application services. In International Conference on Algorithms and Architectures for Parallel Processing (pp. 13-31). Springer, Berli.n, Heidelberg.https://doi.org/10.1007/978-3-642-13119-6_2

      [14] Ouardi, A., Sekkaki, A., &Mammass, D. (2017, May). Towards an inter-Cloud architecture in healthcare system. In Networks, Computers and Communications (ISNCC), 2017 International Symposium on (pp. 1-6). IEEE.https://doi.org/10.1109/ISNCC.2017.8071986.

      [15] Rezaei, R., Chiew, T. K., Lee, S. P., &Aliee, Z. S. (2014). Interoperability evaluation models: A systematic review. Computers in Industry, 65(1), 1-23.https://doi.org/10.1016/j.compind.2013.09.001.

      [16] Online Reference: https://opennebula.org/opennebula-newsletter-march-2012/.

      [17] A. Beloglazov R. Buyya. (2010) Adaptive Threshold-based Approach for Energy-efficient Consolidation of Virtual Machines in Cloud Data Centers, In Proceedings of the 8th International Workshop on Middleware for Grids, Clouds and e-Science, p. 4:1–4:6. https://doi.org/10.1145/1890799.1890803.

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  • How to Cite

    K.Jeevitha, J., G.Athisha, D., K.Sabeetha, D., & Pradeepa, P. (2019). Energy efficient medicinal services framework in inter cloud architecture. International Journal of Engineering & Technology, 7(4), 5393-5398. https://doi.org/10.14419/ijet.v7i4.12866

    Received date: 2018-05-16

    Accepted date: 2018-08-30

    Published date: 2019-04-03