Branching Processes Theory Application for Cloud Computing Demand Modeling Based on Traffic Prediction

Thu, 22 Mar 2012 19:29:38 +0000

The potential benefits of cloud computing are overwhelming. However, attaining these benefits requires that each aspect of cloud environment support the key design principles of the cloud model. One of the core design principles is dynamic scalability, or the ability to provision and decommission servers on demand. The efficient data processing is a fundamental and vital issue for almost every business organization. Unfortunately, the majority of today’s database servers are incapable of satisfying this requirement. From the viewpoint of a service provider, demands on the network are not entirely predictable. Firstly, traffic modeling helps to represent our understanding of dynamic demand for cloud services by stochastic processes. Secondly, accurate traffic models are necessary for service providers to properly maintain quality of service. Branching stochastic processes are used to describe random systems such as nuclear chain reactions, decommission population development, epidemic of disease and gene propagation. In this paper we show that the cloud computing demand can be developed as a branching stochastic process. A statistical model is described step by step, as a function of the physical parameters of the process. Using the model, we propose a method for determining the unknown probability distribution of queries.

Keywords:

cloud computing

branching process

network traffic modeling

Speaker First Name:

Aleksandra

Speaker Last Name:

Varfolomeeva, Victor Romanov and Andrey Koryakovskiy

Speaker Job Title:

Consultant

Speaker's Company Name/Affiliation:

Russian Plekhanov

Speaker Bio:

Ph.D. degree candidate Department of Information Systems in Economics and Management Russian Plekhanov University of Economics, Moscow, Russian Federation Victor Romanov Ph.D., Professor of Computer Science, Russian Plekhanov University of Economics, Moscow, Russian Federation, Andrey Koryakovskiy Ph.D., Associate Professor of Information Systems in Economics and Management, Russian Plekhanov University of Economics, Moscow, Russian Federation

Speaker's Headshot Photo:

Associate Speakers:

<h4>Victor Romanov</h4> Ph.D., Professor of Computer Science, Russian Plekhanov University of Economics, Moscow, Russian Federation, e-mail: victorromanov1@gmail.com Andrey Koryakovskiy Ph.D., Associate Professor of Information Systems in Economics and Management, Russian Plekhanov University of Economics, Moscow, Russian Federation e-mail: avkor@list.ru

Speaker's Postal Address:

109548, Russia, Moscow, Guryanov street, 19-1-42

6th annual Cloud Slam 2014 Cloud Computing Conference, San Francisco CA, June 4, 2014. Cloud Computing Events 2014 - branching process

Branching Processes Theory Application for Cloud Computing Demand Modeling Based on Traffic Prediction