Dynamic Resource Allocation to Maximize the Profits in Cloud Environment

Abstract:- service provider need to understand the service charges and business cost of application & configuration setting of multi-server in cloud. Analyze the character of amount of server usage, workload for application, configuration of multi-server, service level agreements, satisfaction of customer, quality of service, penalty of a low quality of server, cost of renting, cost of energy consumption & service provider margin and profit. Our approach is to treat a multi-server system as an M/M/m queuing model, we are optimizing the resource usage shared to multiple users’ based on some formulas we are calculating the speed, power consumption, application running, idle speed and constant speed of server to obtain unit time performance.. Index Terms—Cloud computing, multi-server system, pricing model, profit, queuing model, response time, server configuration, service charge, service-level agreement, waiting time 1