NDLI: Offline multi-class flow allocation in MPLS networks using a distributed multi-objective genetic algorithm

Content Provider	IEEE Xplore Digital Library
Author	El Mawass, N. Sardouk, A. El Falou, S.
Copyright Year	2012
Description	Author affiliation: Electrical and Electronics Department, Lebanese University, Faculty of Engineering 1 (ULFG1), Kobbeh, Tripoli, Lebanon (El Mawass, N.) \|\| R&D department, MobiNetS, Tripoli, Lebanon (El Falou, S.) \|\| R&D department, MobiNetS, Paris, France (Sardouk, A.)
Abstract	The explosion of internet-like data traffic and services (voice, video, multiplayer games, download, etc.) is fueling the demands for higher mobile telecom network capacities. Traditionally, mobile operators are used to add new transmission links and equipments to satisfy the traffic increase. However, this solution is firstly expensive in terms of capital and operation and secondly inadequate with the new telecommunication generations as 3G and 4G. In this paper, we propose a traffic engineering based approach to maximize the network usage. Based on an advanced Multi-Objective, Multi-Population Genetic Algorithm, we propose an offline distribution of Label Switch Paths (LSPs) that takes into consideration the scalability of the network, the Quality of Service (QoS) constraints for 4 Classes of Service (CoS) and recovery path to ensure high network availability. Congestion reduction, bandwidth optimization and other objectives have been combined to offer the network planner an optimal network management.
Starting Page	1
Ending Page	6
File Size	592327
Page Count	6
File Format	PDF
ISBN	9781467307451
e-ISBN	9781467307475
e-ISBN	9781467307468
DOI	10.1109/ICTEL.2012.6221227
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2012-04-23
Publisher Place	Lebanon
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Multiprotocol label switching Quality of Service (QoS) Offline Traffic Engineering (TE) Multi-Protocol Label Switching (MPLS) Quality of service Bandwidth Mobile communication Telecom network Telecommunications Delay Genetic algorithms Multi-Objective Genetic Algorithm (GA)
Content Type	Text
Resource Type	Article

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