Optimal Multi Server Using Time Based Cost Calculation in Cloud Computing

As cloud computing becomes additional and additional standard, understanding the economic science of cloud computing becomes critically necessary. To maximize the profit, a service supplier ought to perceive each charge and business prices, and the way they're determined by the characteristics of the applications and also the configuration of a multi server system. The matter of best multi server configuration for profit maximization in an exceedingly cloud computing setting is studied. Our valuation model takes such factors into concerns because the quantity of a service, the work of AN application setting, the configuration of a multi server system, the service-level agreement, the satisfaction of a shopper, the standard of a service, the penalty of a low-quality service, the value of dealing, the value of energy consumption, and a service provider’s margin and profit. Our approach is to treat a multi server system as AN M/M/m queuing model, such our improvement downside are often developed and resolved analytically. 2 server speed and power consumption models square measure thought-about, namely, the idle-speed model and also the constant-speed model. The likelihood density operate of the waiting time of a freshly arrived service request comes. The expected charge to a service request is calculated. The expected web business gain in one unit of your time is obtained. Numerical calculations of the best server size and also the best server speed square measure incontestable. KeywordsCloud computing, multi-server system, valuation model, profit, queuing model, time interval, server configuration, service charge, service-level agreement, waiting time Kattera Srinivasa Rao et al, International Journal of Computer Science and Mobile Computing, Vol.3 Issue.8, August2014, pg. 724-728 © 2014, IJCSMC All Rights Reserved 725