A floating IP implementation based-on load balancing in cloud computing

  • Authors

    • Awang Andhyka the nahdlatul ulama sidoarjo university
    • Fawaidul Badri
    2020-02-25
    https://doi.org/10.14419/ijet.v9i1.30224
  • Load-Balancing, Floating IP, Cloud Computing.
  • With the advance of technology and constant changes in internet development, cloud computing has poured today. The industrial 4.0 requires technology that is reliable and has high stability. With lower funds and convenience in overcast computing as a serving, for ex-ample, cloud servers, users are increasingly placing web resources and information on cloud computing. But, when needed, by many users, errors or downtime cloud server often occurs on the cloud server. Various kinds of obstacles often happen, such as errors, ISP interrupted, overloaded, or others. From these problems, the availability and reliability system on the cloud server will be increasingly important so that this study will discuss the issue of an encumbrance balancing and floating IP (internet protocol) in a cloud server with a minimum cost. This study proposes a dual balanced approach using floating IP addresses to balance workload in cloud computing. This is to ensure the reliability with the stability of a cloud server to optimize the maximum available resources. Cloud analyst, like a visual-based Cloud Sim Modeler, will be used for algorithm analysis. Comparative studies are also brought out by several algorithms such as the robin algorithm and First Serve algorithm, the results will be analyzed and expected to be a right solution that can later be applied to a need that requires resources with a lot of connectivity, such as e-commerce, revenue new students, online exams, or others.

     

     

     

  • References

    1. [1] A. M. Alakeel, A guide to dynamic load balancing in distributed computer systems, in: IJCSNS International Journal of Computer Science and Network Security,VOL.10 No.6., 2010, pp. 153–160

      [2] A. Vouk, Cloud computing- issues, research and implementations, in: Information Technology Interfaces, 2008, pp. 31–40.Cho JH, Chang SA, Kwon HS, Choi YH, KoSH, Moon SD, Yoo SJ, Song KH, Son HS, Kim HS, Lee WC, Cha BY, Son HY & Yoon KH (2006), Long-term effect of the internet-based glucose monitoring system on HbA1c Reduction and glucose stability: a 30-month follow-up study for diabetes management with a ubiquitous medical care system. Diabetes Care 29, 2625–2631. https://doi.org/10.2337/dc05-2371.

      [3] B.Wickremasinghe, R.N.Calheiros, R. Buyya, Cloudanalyst: A cloudsim-based visual modeller for analysing cloud computing

      [4] G. Boss, P. Malladi, D. Quan, L. Legregn, Cloud computing, in: High Performance On Demand Solutions (HiPODS), IBM, 2007.

      [5] R.Buyya, C. Yeo, S.Venugopal, J.Broberg, I.Brandic, Cloud computing and emerging it platforms: Vision, hype, and reality for delivering computing as the 5th utility, in: Future Generation Computer Systems, vo1.25, 2009, pp. 599–616. https://doi.org/10.1016/j.future.2008.12.001.

      [6] Lee R.Buyya, R.Ranjan, Intercloud: Utility-oriented federation of cloud computing environments for scaling of application services,in: ICA3PP 2010, Part I, LNCS 6081., 2010, pp. 13–31. https://doi.org/10.1007/978-3-642-13119-6_2,

      [7] R.Armstrong, D.Hensgen, The relative performance of various mapping algorithms is independent of sizable variances in run- time predictions, in: 7th IEEE Heterogeneous Computing Workshop (HCW ’98), 1998, pp. 79–87.

      [8] R.N.Calheiros, R. Ranjan, A. Beloglazov, C. Rose, R. Buyya, Cloudsim: A toolkit for modeling and simulation of cloud computing environments and evaluation of resource provisioning algorithms, in: Software: Practice and Experience (SPE), Volume 41, Number 1, ISSN: 0038-0644, Wiley Press, New York, USA., 2011, pp. 23–50. https://doi.org/10.1002/spe.995.

  • Downloads

  • How to Cite

    Andhyka, A., & Badri, F. (2020). A floating IP implementation based-on load balancing in cloud computing. International Journal of Engineering & Technology, 9(1), 258-261. https://doi.org/10.14419/ijet.v9i1.30224