Bandwidth simulation as a monte carlo queuing system

Document Type : Research Paper

Authors

1 Phd Student, Department of Applied Mathematics, Faculty of Mathematical Sciences, University of Campus2,University of Guilan, P.O.Box 84475 - 41447, Rasht, Iran

2 Department of Applied Mathematics, Faculty of Mathematical Sciences, University of Campus2,University of Guilan, P.O.Box 41996 - 13776, Rasht, Iran

3 Department of Computer Engineering and Information Technology, Faculty of Computer Engineering and Information Technology, University of Najafabad Payame Noor,P.O.Box 85156-43144 Najafabad, Isfahan, Iran

Abstract

One of the issues raised in cloud computing is the datacenter locating problem and one of the effective factors in designing data center locations is amount of data volume and referrals to it. This depends on the number of customers or users who are going to use that data center, which is a probable issue. In this paper, the bandwidth simulation is described by considering the bandwidth system as a queuing system and simulating it by Monte Carlo method. We explain how to simulate the bandwidth consumption in different static and dynamic simulation states for a real computer system and we show that the bandwidth required at an Endpoint in cloud computing can be calculated with different Gamma distribution parameters.

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References

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Journal of Hyperstructures
Volume 7, Spec. 2nd CSC2017
June 2018
Pages 50-59

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