Virtual path optimization in satellite atm networks with stochastic traffic flows

In Satellite ATM (SATM) networks, the various traffic patterns and dynamically changing topology call for effective network traffic control mechanisms to reduce congestion and utilize network resource efficiently. There are two major challenges in the SATM traffic control. On one hand, the time varying traffic arises big challenges for guaranteed service in ATM. On the other hand, due to the permanent mobility of the entire LEO satellite network, the network traffic control task requires highly sophisticated approaches to provide the predominant connection-oriented services with acceptable QoS for the end users and efficient use of network resources.