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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Tuncer, D. Charalambides, M. Pavlou, G. Wang, N. |
| Copyright Year | 2011 |
| Description | Author affiliation: Centre for Communication Systems Research, University of Surrey, Surrey, UK (Wang, N.) || Department of Electronic & Electrical Engineering, University College London, London, UK (Tuncer, D.; Charalambides, M.; Pavlou, G.) |
| Abstract | 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. |
| Starting Page | 1 |
| Ending Page | 6 |
| File Size | 848001 |
| Page Count | 6 |
| File Format | |
| ISBN | 9781457715884 |
| e-ISBN | 9783901882449 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2011-10-24 |
| Publisher Place | France |
| Access Restriction | Subscribed |
| Rights Holder | IFIP |
| Subject Keyword | Adaptive systems Network topology Routing Routing protocols Topology Decentralized Network Configuration Resource management IP networks Adptative Resource Management Online Traffic Engineering |
| Content Type | Text |
| Resource Type | Article |
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