Towards decentralized and adaptive network resource management
Tuncer, D, Charalambides, M, Pavlou, G and Wang, N (2011) Towards decentralized and adaptive network resource management In: 7th CNSM, 2011-10-24 - 2011-10-28, Paris, France.
wang towards decentralized.pdf
Available under License : See the attached licence file.
Current practices for managing resources in fixed networks rely on off-line approaches, which can be sub-optimal in the face of changing or unpredicted traffic demand. To cope with the limitations of these off-line configurations new traffic engineering (TE) schemes that can adapt to network and traffic dynamics are required. In this paper, we propose an intra-domain dynamic TE system for IP networks. Our approach uses multi-topology routing as the underlying routing protocol to provide path diversity and supports adaptive resource management operations that dynamically adjust the volume of traffic sent across each topology. Re-configuration actions are performed in a coordinated fashion based on an in-network overlay of network entities without relying on a centralized management system. We analyze the performance of our approach using a realistic network topology, and our results show that the proposed scheme can achieve near-optimal network performance in terms of resource utilization in a responsive manner.
|Item Type:||Conference or Workshop Item (Paper)|
|Additional Information:||© 2011 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.|
|Divisions:||Faculty of Engineering and Physical Sciences > Electronic Engineering > Centre for Communication Systems Research|
|Depositing User:||Symplectic Elements|
|Date Deposited:||12 Oct 2012 08:25|
|Last Modified:||23 Sep 2013 19:41|
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