LINGO-based optimization problem of cloud computing of bandwidth consumption in the Internet

Abstract

Optimization problem is an important issue in the network Internet. With the dynamic approach in modeling networks, we can strengthen network performance and ensure that the cost will be minimized and profit of provider can be maximized. This research aims to study, analyze the scheme for cloud networking and formulate a plan of new models of dynamic networks and can work under a cloud of wireless networks. Mixed Integer Non Linear Programming (MINLP) is an integer linear programming model to optimize a particular purpose. In MINLP process, the objective function is determined beforehand. The optimal solution of MINLP lies in the majority of decision variables that can be an integer, Boolean or fractions. Model Cloud computing is one of the areas that is most discussed and promising in modern computer science. Cloud computing is a computing model in which resources such as processors, storage, network and software information that can be accessed by customers via the Internet. In the cloud computing implementation, we require a good traffic for performance and reliability of the system is maintained. QoS (Quality of Services) refers to the distribution of bandwidth. QoS is used as a measure of whether or not the characteristics of the network to meet the needs of different services that use the same infrastructure. Tests carried out on the quality of service parameters, namely, delay, packet loss, throughput and bandwidth. To formulate and solve optimization problems used LINGO software applications. The results show that by designing the optimization problem, the cost of consumption of the demand of the internet can be reduced; the maximum profit for the provider can be increased.