C Ran Towards 5g Networks in Virtual Environment

  • Authors

    • K R.R Mohan
    • G Vennela
    • M Sai Kumar
    • Ch Satya Srinivas
    • A Harsha
    2018-03-18
    https://doi.org/10.14419/ijet.v7i2.7.10859
  • Distributed Systems and Distributed applications, Non-Power aware, cloud computing, Real-time.

  • Abstract

    Cloud radio access network is an adaptable mobile network architecture with exponential development of portable traffic and the prerequisites of up and coming administrations are further pushing the cut-off points on current versatile systems; subsequently, overall research interests have moved toward 5G world that view which can address many challenges that mobile operators confront while attempting to support ever-growing end-user’s needs towards 5th generation of mobile networks. Be that as it may, 5G systems are most certainly not to be sent until 2020; subsequently, there is a requirement for answers for address expanding requests of current systems, without acquiring colossal expenses on administrators. This paper proposes on-request organization of portable little cells, utilizing either client versatile handsets or remote radio units and non-aware power utilization of different hosts and virtual machines.

     

     

  • References

    1. [1] The Amazon Cloud Compute

      [2] M. Armbrust, et al. over the Clouds: A Berkeley vision of cloud computing. Technology.

      [3] Energy efficient cmos microprocessor design. In Proc. of Annual Hawaii International Conference January 1995.

      [4] Challenges and opportunitie. In Proc. of the 7th High Performance Computing and Simulation (HPCS 2009). Leipzig, Germany, June 2009.

      [5] Shares and utilities based power consolidation in virtualized server environments. In Proc. of IFIP/IEEE Intl.

      [6] Overseeing vitality and server assets in facilitating focuses. In Procedure of 8th ACM Operating Systems values.

      [7] X. A. Feng and A. K. Mok. A model of hierarchical real-time virtual resources, Dec. 2002.

      [8] A. Gandhi, M. Harchol-Balter, R. Das, and C. Lefurgy. Optimal power allocation in server farms. In Proc. of Intl. Joint Conf. on Measurement and Modeling of Computer Systems, June 2009.

      [9] R. Ge, X. Feng, and K. W. Cameron. Performance-constrained distributed DVS scheduling for scientific applications on power-aware clusters, November 2005.

      [10] C. Hsu and W. Feng. A power-aware run-time system for high-performance computing, November 2005.

      [11] N. Kappiah, V. W. Freeh, and D. K. Lowenthal. Just in time dynamic voltage scaling: Exploiting inter-node slack to save energy in MPI programs, November 2005.

      [12] K. H. Kim, R. Buyya, and J. Kim. Power aware scheduling of bag-of-tasks applications with deadline constraints on DVS-enabled clusters, May 2007.

      [13] KISHORE, P.V.V., KISHORE, S.R.C. and PRASAD, M.V.D., 2013. Conglomeration of hand shapes and texture information for recognizing gestures of indian sign language using feed forward neural networks. International Journal of Engineering and Technology, 5(5), pp. 3742-3756.

      [14] LAKSHMI, M.L.S.N.S., KHAN, H. and MADHAV, B.T.P., 2015. Novel sequential rotated 2×2 array notched circular patch antenna. Journal of Engineering Science and Technology Review, 8(4), pp. 73-77.

      [15] MADHAV, B.T.P., KAZA, H., VAKA, J.K., SRAVAN KUMAR, K., SRIHARSHA, N., JASWANTH KUMAR, J., SIDDHARTH, D.S. and SAI TEJA REDDY, D., 2015. Design and analysis of compact coplanar wave guide fed asymmetric monopole antennas. Research Journal of Applied Sciences, Engineering and Technology, 10(3), pp. 247-252.

      [16] MADHAV, B.T.P., KHAN, H. and KOTAMRAJU, S.K., 2016. Circularly polarized slotted aperture antenna with coplanar waveguide fed for broadband applications. Journal of Engineering Science and Technology, 11(2), pp. 267-277.

      [17] KISHORE, P.V.V., SASTRY, A.S.C.S. and KARTHEEK, A., 2014. Visual-verbal machine interpreter for sign language recognition under versatile video backgrounds, 1st International Conference on Networks and Soft Computing, ICNSC 2014 - Proceedings 2014, pp. 135-140.

      [18] KARTHIK, G.V.S., FATHIMA, S.Y., RAHMAN, M.Z.U., AHAMED, S.R. and LAY-EKUAKILLE, A., 2013. Efficient signal conditioning techniques for brain activity in remote health monitoring network. IEEE Sensors Journal, 13(9), pp. 3273-3283.

      [19] KILARU, S., HARIKISHORE, K., SRAVANI, T., ANVESH CHOWDARY, L. and BALAJI, T., 2014. Review and analysis of promising technologies with respect to Fifth generation networks, 1st International Conference on Networks and Soft Computing, ICNSC 2014 - Proceedings 2014, pp. 248-251.

      [20] Sastry, J.K.R., Ganesh, J.V., Bhanu, J.S., I2C based networking for implementing heterogeneous microcontroller based distributed embedded systems, Indian Journal of Science and Technology, Volume 8, Issue 15, 2015

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  • How to Cite

    R.R Mohan, K., Vennela, G., Sai Kumar, M., Satya Srinivas, C., & Harsha, A. (2018). C Ran Towards 5g Networks in Virtual Environment. International Journal of Engineering & Technology, 7(2.7), 441-443. https://doi.org/10.14419/ijet.v7i2.7.10859

    Received date: 2018-04-01

    Accepted date: 2018-04-01

    Published date: 2018-03-18