The optimization and intelligence approach for traffic engineered design of a service network

Traffic Engineering requires efficient tools to optimize network performance and traffic delivery. This paper covers the canalization of performance problems found in IP networks called Autonomous System (AS), to maximize the admitted traffic flow transmission without delay violations. The solution approach can be divided into two sub-problems. The first applies the placement algorithms to determine the gateway locations; the second applies the selection algorithms to dynamically route flows via one of the pre-determined gateways in real-time. The results indicate that the placement locations will perform best when the path length to the gateway and the current residual bandwidth are both taken into consideration which has higher priority to the first one.