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Hadian, Ali, Bagheian, Mehri, Fathi Vajargah, Behrouz, Ayat, Sayyed Saeid. (1397). Bandwidth simulation as a monte carlo queuing system. سامانه مدیریت نشریات علمی, 7(Spec. 2nd CSC2017), 50-59. doi: 10.22098/jhs.2018.2689
Ali Hadian; Mehri Bagheian; Behrouz Fathi Vajargah; Sayyed Saeid Ayat. "Bandwidth simulation as a monte carlo queuing system". سامانه مدیریت نشریات علمی, 7, Spec. 2nd CSC2017, 1397, 50-59. doi: 10.22098/jhs.2018.2689
Hadian, Ali, Bagheian, Mehri, Fathi Vajargah, Behrouz, Ayat, Sayyed Saeid. (1397). 'Bandwidth simulation as a monte carlo queuing system', سامانه مدیریت نشریات علمی, 7(Spec. 2nd CSC2017), pp. 50-59. doi: 10.22098/jhs.2018.2689
Hadian, Ali, Bagheian, Mehri, Fathi Vajargah, Behrouz, Ayat, Sayyed Saeid. Bandwidth simulation as a monte carlo queuing system. سامانه مدیریت نشریات علمی, 1397; 7(Spec. 2nd CSC2017): 50-59. doi: 10.22098/jhs.2018.2689

Bandwidth simulation as a monte carlo queuing system

Journal of Hyperstructures
دوره 7، Spec. 2nd CSC2017، شهریور 2018، صفحه 50-59    اصل مقاله (299.23 K)
نوع مقاله: Research Paper
شناسه دیجیتال (DOI): 10.22098/jhs.2018.2689
نویسندگان
Ali Hadian* 1؛ Mehri Bagheian2؛ Behrouz Fathi Vajargah2؛ Sayyed Saeid Ayat3
1Phd Student, Department of Applied Mathematics, Faculty of Mathematical Sciences, University of Campus2,University of Guilan, P.O.Box 84475 - 41447, Rasht, Iran
2Department of Applied Mathematics, Faculty of Mathematical Sciences, University of Campus2,University of Guilan, P.O.Box 41996 - 13776, Rasht, Iran
3Department 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
چکیده
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.
کلیدواژه‌ها
Cloud Computing؛ Monte Carlo Simulation؛ Bandwidth simulation
مراجع
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[3] Krzysztof Walkowiak, Modeling and Optimization of Cloud-Ready and ContentOriented Networks, Studies in Systems, Decision and Control 56, Springer (2016),ISBN: 978-3-319-30309-3
[4] M. Klinkowski, K. Walkowiak, On the advantages of elastic optical networks for provisioning of cloud computing traffic, IEEE Network,(2013), 27(6), p4451
[5] G. Held, A Practical Guide to Content Delivery Networks, Auerbach Publica-tions,(2005), Boston
[6] S. Tarkoma, Overlay Networks: Toward Information Networking , 1st edn. Auer-bach Publications,(2010) Boston
[7] M. Ross, Shelon, , A course in simulation, Prentice, Hall College Div, (June 1990) ISBN-13: 978-0024038913
[8] Y. Rubinstein, Reuven, Simulation and Monte Carlo method, Trancelated by B.Fathi, Guilan university Pulisher,(2013), ISBN: 978-600-153-064-7

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