Title :
Dynamic network clustering for scalable management of broadcast traffic in an ATM LAN
Author_Institution :
Sch. of Bus., Kyung Hee Univ., Seoul, South Korea
Abstract :
A genetic algorithm (GA) for dynamic partitioning an ATM LANE (LAN Emulation) network is presented. LANE proves to be one of the best solutions to provide guaranteed quality of service (QoS) for mid-size campus or enterprise networks with a little modification of legacy LAN facilities. However, there are few researches on efficient LANE network operations to deal with scalability issues arising from broadcast traffic delivery. To cope with this scalability issue, the proposed method is a decision model named the 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.
Keywords :
asynchronous transfer mode; computer network management; decision theory; local area networks; packet switching; quality of service; telecommunication traffic; ATM LANE network; LAN emulation; LANE; LANE partitioning problem; QoS guarantee; broadcast traffic; broadcast traffic delivery; campus network; decision model; dynamic network clustering; enterprise network; legacy LAN facilities; network scalability; quality of service; scalable management; virtual LAN; Broadcasting; Communication system traffic control; Emulation; Intelligent networks; Local area networks; Multimedia communication; Network servers; Scalability; Telecommunication traffic; Traffic control;
Conference_Titel :
High Speed Networks and Multimedia Communications 5th IEEE International Conference on
Print_ISBN :
0-7803-7600-5
DOI :
10.1109/HSNMC.2002.1032590
