The Asynchronous Transfer Mode: a tutorial
Computer Networks and ISDN Systems - Special issue on the ATM—asynchronous transfer mode
Restoration strategies and spare capacity requirements in self-healing ATM networks
IEEE/ACM Transactions on Networking (TON)
ATM network management based on distributed artificial intelligence architecture
AGENTS '00 Proceedings of the fourth international conference on Autonomous agents
An ATM Distributed Simulator for Network Management Research
SS '01 Proceedings of the 34th Annual Simulation Symposium (SS01)
Tutorial: Overview of ATM networks: functions and procedures
Computer Communications
SNMP and SNMPv2: the infrastructure for network management
IEEE Communications Magazine
TMN standards: satisfying today's needs while preparing for tomorrow
IEEE Communications Magazine
Architectures for ATM network survivability and their field deployment
IEEE Communications Magazine
MPLS: the magic behind the myths [multiprotocol label switching]
IEEE Communications Magazine
Resource management with virtual paths in ATM networks
IEEE Network: The Magazine of Global Internetworking
Traffic engineering with MPLS in the Internet
IEEE Network: The Magazine of Global Internetworking
Explanation-based learning to recognize network malfunctions
Information-Knowledge-Systems Management
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Network resource management deals with protocols and networks capable of performing a reservation of the available resources in order to guarantee a certain Quality of Service (QoS). Examples of these technologies are Asynchronous Transfer Mode (ATM) and Multi-Protocol Label Switching (MPLS), which are usually used in core networks. An important objective of network providers is to obtain the maximum profit from their resources; hence there is a need for an efficient resource management. Investigation in this field is difficult, mainly because network research laboratories do not have a large core network where they can investigate their approaches and algorithms. This paper presents a simple but flexible distributed simulator that supports a wide range of different experiments. It is based on an event-oriented simulation at a connection level (no packet or cell granularity). The distributed simulator is oriented to the simulation of large core networks and support different routing and admission control algorithms. The simulator must also support the development of different resource management architectures: centralised, distributed, hybrid, based on artificial intelligence techniques, etc. The paper also presents the scenario where this simulator can be used, mainly in the context of Traffic Engineering, i.e. dynamic bandwidth management and fast restoration mechanisms. Examples of different management applications and experiments performed using the simulator are presented.