A Genetic Algorithm Application to Scalable Management of Multimedia Broadcast Traffic in ATM LANE Network


KIPS Transactions on Computer and Communication Systems, Vol. 9, No. 5, pp. 725-732, Oct. 2002
10.3745/KIPSTC.2002.9.5.725,   PDF Download:

Abstract

Presented is a Genetic Algorithm (GA) for dynamic partitioning an ATM LANE(LAN Emulation) network. LANE proves to be one of the best solutions to provide guaranteed Quality of Service (QoS) for mid-size campus or enterprise networks with minor modification of legacy LAN facilities. However, there are few researches on the efficient LANE network operations to deal with scalability issues arising from broadcast traffic delivery. To cope with this scalability issue, proposed is a decision model named LANE Partitioning Problem (LPP) which aims at partitioning the entire LANE network into multiple Emulated LANs (ELANs), each of which works as an independent virtual LAN.


Statistics
Show / Hide Statistics

Statistics (Cumulative Counts from September 1st, 2017)
Multiple requests among the same browser session are counted as one view.
If you mouse over a chart, the values of data points will be shown.


Cite this article
[IEEE Style]
D. H. Kim, "A Genetic Algorithm Application to Scalable Management of Multimedia Broadcast Traffic in ATM LANE Network," KIPS Journal C (2001 ~ 2012) , vol. 9, no. 5, pp. 725-732, 2002. DOI: 10.3745/KIPSTC.2002.9.5.725.

[ACM Style]
Do Hoon Kim. 2002. A Genetic Algorithm Application to Scalable Management of Multimedia Broadcast Traffic in ATM LANE Network. KIPS Journal C (2001 ~ 2012) , 9, 5, (2002), 725-732. DOI: 10.3745/KIPSTC.2002.9.5.725.