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A Fuzzy Based Hybrid Firefly Optimization Technique for Load Balancing in Cloud Datacenters

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Innovations in Bio-Inspired Computing and Applications (IBICA 2018)

Abstract

Cloud computing technology has massive inferences with the use of virtualization technologies. Most of the organizations have incorporated to practice the virtualization strategies to create and operate an effective dynamic data center. The growing maturity of the technologies and utilities of the cloud make the users hasten the adoption of the cloud. The dynamic demanding nature of cloud resources leads to an imbalance in virtual machine utilization and radically increases the energy consumption and operating cost of the data center. In this paper, we propose a fuzzy based hybrid load balancing algorithm for the optimal utilization of virtual machines. The proposed algorithm aim is to reduce the makespan, response time and cost with minimal energy usage and resource wastage. The fuzzy based hybrid optimization approach unveils better performance than existing metaheuristic load balancing algorithms.

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References

  1. Abayomi-Alli, A.A., Ikuomola, A.J., Robert, I.S., Abayomi-Alli, O.O.: An enterprise cloud-based electronic health records system. J. Comput. Sci. 2(2), 21–36 (2014)

    Google Scholar 

  2. Odun-Ayo, I., Omoregbe, N., Odusami, M., Ajayi, O.: Cloud ownership and reliability–issues and developments. In: International Conference on Security, Privacy and Anonymity in Computation, Communication and Storage, pp. 231–240. Springer, Cham, December 2017

    Chapter  Google Scholar 

  3. Mandal, B., Das Gupta, K., Dutta, P.: Load balancing in cloud computing using stochastic hill climbing. Procedia Technol. 4, 783–789 (2012)

    Article  Google Scholar 

  4. Geethu Gopinath, P.P., Vasudevan, S.K.: An in-depth analysis and study of Load balancing techniques in the cloud computing environment. Procedia Comput. Sci. 50, 427–432 (2015)

    Article  Google Scholar 

  5. Mishra, N.K., Mishra, N.: Load balancing techniques: need objectives and major challenges in cloud computing-a systematic review. Int. J. Comput. Appl. (0975-8887) 131(18), 11–19 (2015)

    Google Scholar 

  6. Das Gupta, K., Mandal, B., Dutta, P.: A Genetic Algorithm (GA) based load balancing strategy for cloud computing. Procedia Technol. 10, 340–347 (2013)

    Article  Google Scholar 

  7. Shaji, D.S., Baburaj, E.: Green cloud: an energy efficient load balancing approach using global load optimization. Int. Rev. Comput. Softw. (IRECOS), 9, i8-2955 (2014)

    Article  Google Scholar 

  8. Chamoli, N., Suyal, H., Panwar, A.: Load balancing technique in cloud computing: a review. Int. J. Comput. Appl. (0975-8887) 145(15), 6–10 (2016)

    Google Scholar 

  9. Kumar, M., Sharma, S.C.: Dynamic load balancing algorithm for balancing the work load among virtual machine in cloud computing. Procedia Comput. Sci. 115, 322–329 (2017)

    Article  Google Scholar 

  10. Buyya, R., Ranjan, R.: Inter cloud: 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 (2010)

    Chapter  Google Scholar 

  11. Ajit, M., Vidya, G.V.M.: Level load balancing in cloud environment. In: Proceedings of Fourth International Conference on Computing, Communications and Networking Technologies (ICCCNT), 4 July 2013, pp. 1–5 (2013)

    Google Scholar 

  12. Lu, Y., Xie, Q., Kliot, G., Geller, A., Larus, J.R.: Join-Idle-Queue: a novel load balancing algorithm for dynamically scalable web services. Perform. Eval. 68(11), 1056–1071 (2011)

    Article  Google Scholar 

  13. Karakoyunlu, C., Chandy, J.A.: Exploiting user metadata for energy-aware node allocation in a cloud storage system. J. Comput. Syst. Sci. 82(2), 282–309 (2016)

    Article  MathSciNet  Google Scholar 

  14. Florence, A.P., Shanthi, V.: A load balancing model using firefly algorithm in cloud computing. J. Comput. Sci. 10(7), 1156–1165 (2014)

    Article  Google Scholar 

  15. Kaur, G., Kaur, K.: An adaptive firefly algorithm for load balancing in cloud computing. In: Proceedings of Sixth International conference on Soft Computing for Problem Solving, pp. 63–72 (2017)

    Google Scholar 

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Acknowledgments

We acknowledge the support and sponsorship provided by Covenant University through the Centre for Research, Innovation and Discovery (CUCRID).

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Correspondence to Sanjay Misra .

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Lawanya Shri, M., Ganga Devi, E., Balusamy, B., Kadry, S., Misra, S., Odusami, M. (2019). A Fuzzy Based Hybrid Firefly Optimization Technique for Load Balancing in Cloud Datacenters. In: Abraham, A., Gandhi, N., Pant, M. (eds) Innovations in Bio-Inspired Computing and Applications. IBICA 2018. Advances in Intelligent Systems and Computing, vol 939. Springer, Cham. https://doi.org/10.1007/978-3-030-16681-6_46

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