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1242 IEEE TRANSACTIONS ON NEURAL NETWORKS, VOL. 16, NO. 5, SEPTEMBER 2005 New MPLS Network Management Techniques
 

Summary: 1242 IEEE TRANSACTIONS ON NEURAL NETWORKS, VOL. 16, NO. 5, SEPTEMBER 2005
New MPLS Network Management Techniques
Based on Adaptive Learning
Tricha Anjali, Caterina Scoglio, and Jaudelice Cavalcante de Oliveira, Member, IEEE
Abstract--The combined use of the differentiated services
(DiffServ) and multiprotocol label switching (MPLS) technologies
is envisioned to provide guaranteed quality of service (QoS) for
multimedia traffic in IP networks, while effectively using network
resources. These networks need to be managed adaptively to cope
with the changing network conditions and provide satisfactory
QoS. An efficient strategy is to map the traffic from different
DiffServ classes of service on separate label switched paths (LSPs),
which leads to distinct layers of MPLS networks corresponding to
each DiffServ class. In this paper, three aspects of the management
of such a layered MPLS network are discussed. In particular, an
optimal technique for the setup of LSPs, capacity allocation of the
LSPs and LSP routing are presented. The presented techniques
are based on measurement of the network state to adapt the
network configuration to changing traffic conditions.
Index Terms--Adaptive learning, differentiated services multi-

  

Source: Anjali, Tricha - Department of Electrical and Computer Engineering, Illinois Institute of Technology
Scoglio, Caterina Maria - Department of Electrical and Computer Engineering, Kansas State University

 

Collections: Computer Technologies and Information Sciences; Engineering