Energy efficient medicinal services framework in inter cloud architecture
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https://doi.org/10.14419/ijet.v7i4.12866
Received date: May 16, 2018
Accepted date: August 30, 2018
Published date: April 3, 2019
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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.
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References
- Mell, P., &Grance, T. (2009). The NIST definition of cloud compu-ting. National institute of standards and technology, 53(6), 50.
- Martin-Flatin, J. P. (2014). Challenges in Cloud Management. IEEE Cloud Computing, 1(1), 66-70.https://doi.org/10.1109/MCC.2014.4.
- Yangui, S., Marshall, I. J., Laisne, J. P., & Tata, S. (2014). Compat-ibleOne: The open source cloud broker. Journal of Grid Compu-ting, 12(1), 93-109.https://doi.org/10.1007/s10723-013-9285-0.
- 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.
- Manvi, S. S., &Shyam, G. K. (2014). Resource management for In-frastructure as a Service (IaaS) in cloud computing: A sur-vey. Journal of network and computer applications, 41, 424-440.https://doi.org/10.1016/j.jnca.2013.10.004.
- 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 Com-puting (CLOUD), 2010 IEEE 3rd International Conference on (pp. 544-545). IEEE.
- 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.
- 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 federa-tion. In Sustainable Internet and ICT for Sustainability (SustainIT), 2015 (pp. 1-4). IEEE.https://doi.org/10.1109/SustainIT.2015.7101383.
- Fu, X., & Zhou, C. (2015). Virtual machine selection and placement for dynamic consolidation in Cloud computing environ-ment. Frontiers of Computer Science, 9(2), 322-330.https://doi.org/10.1007/s11704-015-4286-8.
- Toosi, A. N., Calheiros, R. N., &Buyya, R. (2014). Interconnected cloud computing environments: Challenges, taxonomy and sur-vey. ACM Computing Surveys (CSUR), 47(1), 7.https://doi.org/10.1145/2593512.
- Assis, M. R., &Bittencourt, L. F. (2016). A survey on cloud federa-tion architectures: Identifying functional and non-functional proper-ties. Journal of Network and Computer Applications, 72, 51-71https://doi.org/10.1016/j.jnca.2016.06.014.
- 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, Heidel-berg.https://doi.org/10.1007/978-3-642-24755-2_6.
- 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 Algo-rithms and Architectures for Parallel Processing (pp. 13-31). Spring-er, Berli.n, Heidelberg.https://doi.org/10.1007/978-3-642-13119-6_2
- Ouardi, A., Sekkaki, A., &Mammass, D. (2017, May). Towards an inter-Cloud architecture in healthcare system. In Networks, Com-puters and Communications (ISNCC), 2017 International Symposi-um on (pp. 1-6). IEEE.https://doi.org/10.1109/ISNCC.2017.8071986.
- Rezaei, R., Chiew, T. K., Lee, S. P., &Aliee, Z. S. (2014). Interop-erability evaluation models: A systematic review. Computers in In-dustry, 65(1), 1-23.https://doi.org/10.1016/j.compind.2013.09.001.
- Online Reference: https://opennebula.org/opennebula-newsletter-march-2012/.
- A. Beloglazov R. Buyya. (2010) Adaptive Threshold-based Ap-proach for Energy-efficient Consolidation of Virtual Machines in Cloud Data Centers, In Proceedings of the 8th International Work-shop 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 and Technology, 7(4), 5393-5398. https://doi.org/10.14419/ijet.v7i4.12866
