Asynchronous transfer mode (2nd ed.): solution for broadband ISDN
Asynchronous transfer mode (2nd ed.): solution for broadband ISDN
ATM user-network interface (UNI) specification version 3.1
ATM user-network interface (UNI) specification version 3.1
Performance management issues in ATM networks: traffic and congestion control
IEEE/ACM Transactions on Networking (TON)
Design of a real-time call admission controller for ATM networks
IEEE/ACM Transactions on Networking (TON)
Revenue maximization in ATM networks using the CLP capability and buffer priority management
IEEE/ACM Transactions on Networking (TON)
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Nowadays high-speed transmissions and heterogeneous traffic are some of the most essential requirements that a communication network must satisfy. Therefore, the design and management of such networks must consider these requirements. Network congestion is a very important point that must be taken into consideration when a management system is designed. ATM networks support different types of services and this fact makes them less predictable networks. Congestion can be defined as a state of network elements in which the network cannot guarantee the established connections the negotiated QoS. This paper proposes a system to reduce short-term congestion in ATM networks. This system uses Artificial Intelligence techniques to predict future states of network congestion in order to take less drastic measures in advance.