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Analysis of Queuing Model-Based Cloud Data Centers

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Smart Technologies in Data Science and Communication

Part of the book series: Lecture Notes in Networks and Systems ((LNNS,volume 105))

Abstract

Cloud computing is the process of allocating the network access admission to a group of selected users having advanced and smart pattern of computing facilities on the plan of usefulness of the network permission for accessing the network resources whenever there is a demand for the facility to be provided from the cloud. It may be a customary term and thus the regular service that was being delivering the required services to the hosts among net. Here, the cloud computing mechanism is employed for describing each list of platforms that were out there to the users for operating and additionally the many styles of applications which will be processed. The current technique was being thought about by most of the analyzers because of the most potential and therefore the most helpful space for the analysis and also for analysis in academe like universities and major research laboratories. Performance analysis of many connected applications and their sub-elements were being thought about in the concert of the helpful and principally used analysis space within the recent years. This method and its services were being employed principally for the suppliers of the cloud and its connected spaces, and therefore, the beneficiaries of this method of area were each supplier of the cloud and therefore the customers associated with the cloud. Solely few notable works are revealed with regard to performance analysis in cloud computing. In General, the analytical models were geared towards the models that use the cloud and its services through the performance of the model, and the current model was analyzed and evaluated for various configurations and assumptions. These assumptions were based on the queuing theory, and its accuracy is verified with numerical calculations and simulations. The present paper deals with the performance evaluation in terms of steady-state parameters of a small cloud server farm using single- and multi-server queuing models. Single-server model includes M/M/1 and M/Er/1. Multi-server model considered includes M/M/c and M/M/c/c. A comparison among the steady-state parameters evaluated for the above queuing models with respect to traffic intensity is also presented.

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References

  1. I. Adan, J. Resing, Queuing systems (Eindhoven University of Technology, The Netherlands, 2015)

    Google Scholar 

  2. Chandrakala, et al., Survey on models to investigate data center performance and QoS in cloud computing infrastructure, in First International Conference on Recent Advances in Science & Engineering (2014)

    Google Scholar 

  3. K. Saravanan, et al., Performance factors of cloud computing data centers using [(M/G/1): (inf/GD model)] queuing systems. Int. J. Grid Comput. Appl. 4 (2013)

    Google Scholar 

  4. K. Jayapriya, et al., An extensive survey on QoS in cloud computing. Int. J. Comput. Sci. Inf. Technol. 5 (2014)

    Google Scholar 

  5. S. Molinaro et al., Comparing expected wait times of an M/M/1 queue. Department of Mathematics and Statistics, University of Winsor (2010)

    Google Scholar 

  6. A. Tripathi, Simulation of queuing models. Int. J. Eng. Sci. Innov. Technol. 2 (2013)

    Google Scholar 

  7. R. Ravanmehr, et al., Cloud computing performance evaluation: issues and challenges. Int. J. Cloud Comput. Serv. Archit. 3 (2013)

    Google Scholar 

  8. T.V. Mathew, Queuing analysis, transportation systems engineering. Indian Institute of Technology, Bombay, Feb 2014. D. Praveen, K. Satish, The queuing theory in cloud computing to reduce the waiting time. IJCSET 1 (2011)

    Google Scholar 

  9. H. Wang, et al., A conditional probability approach to M/G/1-like queues. Perform. Eval. 65 (2008)

    Google Scholar 

  10. W. Stallings, Queuing analysis (2000)

    Google Scholar 

  11. H. Groenvelt, A note on queuing models (1996)

    Google Scholar 

  12. J. Sztrik, et al., Basic queuing theory. University of Debrecen, Faculty of Informatics (2012)

    Google Scholar 

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Correspondence to K. V. Satyanarayana .

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Satyanarayana, K.V., Sudha, K., Rao, N.T., Chen, M. (2020). Analysis of Queuing Model-Based Cloud Data Centers. In: Fiaidhi, J., Bhattacharyya, D., Rao, N. (eds) Smart Technologies in Data Science and Communication. Lecture Notes in Networks and Systems, vol 105. Springer, Singapore. https://doi.org/10.1007/978-981-15-2407-3_30

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  • DOI: https://doi.org/10.1007/978-981-15-2407-3_30

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-15-2406-6

  • Online ISBN: 978-981-15-2407-3

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