@inproceedings{1723fb3e73a9461eb700f2717b41a8d8,
title = "Stochastic modelling and analysis of cloud computing data center",
abstract = "Cloud data centers (CDC) are an integral part of today's internet services. Enterprises and Businesses around the world rely heavily on data centers for their daily computation and IT operations. In fact, every time we search for an information on the internet, or we use an application on our smartphones, we access data centers. In CDC, most compute resources are represented as virtual machines (VMs) which are mapped into physical machines (PMs). Performance is often is a key metric for CDC. This paper presents a stochastic model based on queuing theory to aid in studying and analyzing performance in CDC. CDC platforms are modeled with an open queuing system that can be used to estimate the expected Quality of Service (QoS) guarantees the cloud can offer. We give numerical examples to show how the model estimates the number of required VM instances needed to satisfy a given the QoS parameters. In particular, we plot the response time, drop rate and CPU utilization while varying the incoming request arrival rate, and for different number of VM instances. We cross-validate our analytical model using a DES (Discrete Event Simulator). Our analysis and simulation results show that the proposed model is able to estimate the number of VMs needed to achieve QoS targets when varying the arrival request rate.",
keywords = "Cloud Data Center, Performance Analysis, Queueing Theory",
author = "{El Kafhali}, Said and Khaled Salah",
note = "Publisher Copyright: {\textcopyright} 2017 IEEE.; 20th Conference on Innovations in Clouds, Internet and Networks, ICIN 2017 ; Conference date: 07-03-2017 Through 09-03-2017",
year = "2017",
month = apr,
day = "13",
doi = "10.1109/ICIN.2017.7899401",
language = "British English",
series = "Proceedings of the 2017 20th Conference on Innovations in Clouds, Internet and Networks, ICIN 2017",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "122--126",
editor = "Stefano Secci and Noel Crespi and Antonio Manzalini",
booktitle = "Proceedings of the 2017 20th Conference on Innovations in Clouds, Internet and Networks, ICIN 2017",
address = "United States",
}