Title of article
Bandwidth simulation as a monte carlo queuing system
Author/Authors
Hadian ، Ali Department of Applied Mathematics - Faculty of Mathematical Sciences - University of Campus2, University of Guilan , Bagheian ، Mehri Department of Applied Mathematics - Faculty of Mathematical Sciences - University of Campus2, University of Guilan , Fathi Vajargah ، Behrouz Department of Applied Mathematics - Faculty of Mathematical Sciences - University of Campus2, University of Guilan , Ayat ، Saeid Department of Computer Engineering and Information Technology - Faculty of Computer Engineering and Information Technology - University of Najafabad Payame Noor
From page
50
To page
59
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.
Keywords
Cloud Computing , Monte Carlo simulation , Bandwidth simulation
Journal title
Journal of Hyperstructures
Journal title
Journal of Hyperstructures
Record number
2774470
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