Title :
Performance Modelling of Virtualized Servers
Author :
Gemikonakli, O. ; Ever, E. ; Gemikonakli, E.
Author_Institution :
Middlesex Univ., London, UK
Abstract :
The increase on the demand of IT resources diverted enterprises to the use of costly physical servers. However, besides cooling and power cost, most of the times, physical servers are poorly utilized. Server virtualization is a way of better utilizing such resources and reducing power consumption. In this paper, a performance model for two virtual servers implemented on a single physical machine is presented. The proposed model is analyzed using two-dimensional Quasi Birth and Death Processes. An iterative algorithm is used in computing the steady state probabilities of the queuing system considered. The state probabilities are then used in evaluating performance measures of the virtualized servers; mean queue length, response time and utilization.
Keywords :
business data processing; iterative methods; network servers; queueing theory; virtual private networks; 2D quasi birth and death process; IT resource demand; iterative algorithm; mean queue length; power consumption reduction; queuing system; server virtualization; steady state probability; Cooling; Costs; Delay; Energy consumption; Iterative algorithms; Length measurement; Platform virtualization; Power system modeling; Steady-state; Time measurement; Markov process; analytical modelling; performance evaluation; queuing theory; server virtualization;
Conference_Titel :
Computer Modelling and Simulation (UKSim), 2010 12th International Conference on
Conference_Location :
Cambridge
Print_ISBN :
978-1-4244-6614-6
DOI :
10.1109/UKSIM.2010.86
