Abstract | ||
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In large scale deployments of Wireless Mesh Networks (WMNs), access to the Internet is ensured by multiple gateways spread over the network. In such environments that rely on heterogeneous backhaul technologies offering different and time-varying bandwidth, delay or jitter characteristics, monitoring the end-to-end performances on the diversity of paths Internet flows can be forwarded on is challenging: the end-to-end measurement strategy must capture the diversity of backhaul connections, as well as multi-hop behavior within the mesh, and it must scale with the number of gateways, nodes and flows. In this paper we propose and evaluate the scalability of two measurement strategies for the monitoring of end-to-end paths. We establish closed form formulas for the overhead incurred by these measurement strategies, and compare their efficiency against greedy measurements in grid topologies. We conclude that one can reach linear increase in the number of probing nodes in place of an exponential growth for greedy end-to-end measurements. We extend these results to also show that this strategy takes advantage of dense topologies. |
Year | DOI | Venue |
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2012 | 10.1145/2387218.2387220 | Q2SWinet |
Keywords | Field | DocType |
backhaul connection,end-to-end path,large scale deployment,heterogeneous wireless mesh network,measurement strategy,paths internet flow,greedy measurement,greedy end-to-end measurement,end-to-end measurement strategy,heterogeneous backhaul technology,end-to-end performance,measurements,end to end,scalability | Switched mesh,Backhaul (telecommunications),End-to-end principle,Computer science,Computer network,Network topology,Wireless mesh network,Jitter,Shared mesh,Distributed computing,Scalability | Conference |
Citations | PageRank | References |
0 | 0.34 | 11 |
Authors | ||
6 |
Name | Order | Citations | PageRank |
---|---|---|---|
Julien Boite | 1 | 22 | 3.56 |
Vania Conan | 2 | 662 | 57.19 |
Gérard Nguengang | 3 | 46 | 6.92 |
Mathieu Bouet | 4 | 272 | 27.27 |
Alain Ploix | 5 | 0 | 0.34 |
Dominique Gaïti | 6 | 677 | 56.88 |