Network Resource Management

From Wikipedia, the free encyclopedia

Network resource management is used in broadband networks to keep track of the way link resources are allocated to connections. The two primary resources that are tracked by network resource management are capacity (bandwidth) and connection identifiers (see Asynchronous Transfer Mode). Network resource management keeps track of the capacity and controls the allocation of capacity to connections when requested as part of the connection setup process (see traffic contract) [1].

One tool of network resource management which can be employed for traffic control is the virtual path technique (see Asynchronous Transfer Mode). By grouping several virtual channels together into a virtual path, connection admission control, UPC and NPC can be simplified as only the aggregated traffic of an entire virtual path has to be handled. Priority control can be supported by re-aggregating traffic types requiring different qualities of service through virtual paths. Messages for the operation of traffic control (for example, congestion indication) can more easily be distributed: a single message referring to all virtual channels within a virtual path will suffice [2].

Virtual paths can also play an important role in supporting statistical multiplexing be separating traffic thus preventing statistically multiplexed traffic (see broadband networks) from being interfered with guaranteed bit rate traffic [3].

A connection identifier uniquely identifies a connection. At different layers or with different technologies you will have different connection identifiers. In mobile IP networks [7] e.g. the care-of address can be used to identify a connection.

[edit] See also

[edit]

References

[1] Sexton M., Reid A., “Broadband Networking: ATM, SDH and SONET”, Artech House Inc., Boston, London, 1997. ISBN 0-89006-578-0.

[2] Handel R., Manfred H., Schroder S., “ATM Networks: Concepts, Protocols, Applications“, Addison-Wesley Publishing company Inc., 1994. ISBN 0-201-42274-3.

[3] Chandra K., “Statistical Multiplexing”, Center for Advanced Computation and Telecommunications, University of Massachusetts, http://morse.uml.edu/~kchandra/publications/stat-mux-EOT-02.pdf, last accessed 13 March 2005.

In other languages