Shifting network tomography toward a practical goal
Author
Ghita, D.
Karakuş, Can
Argyraki, K.
Thiran, P.
Date
2011Source Title
Proceedings of the 7th International Conference on Emerging Networking Experiments and Technologies, CoNEXT 2011
Publisher
ACM
Language
English
Type
Conference PaperItem Usage Stats
153
views
views
106
downloads
downloads
Abstract
Boolean Inference makes it possible to observe the congestion status of end-to-end paths and infer, from that, the congestion status of individual network links. In principle, this can be a powerful monitoring tool, in scenarios where we want to monitor a network without having direct access to its links. We consider one such real scenario: a Tier-1 ISP operator wants to monitor the congestion status of its peers. We show that, in this scenario, Boolean Inference cannot be solved with enough accuracy to be useful; we do not attribute this to the limitations of particular algorithms, but to the fundamental difficulty of the Inference problem. Instead, we argue that the "right" problem to solve, in this context, is compute the probability that each set of links is congested (as opposed to try to infer which particular links were congested when). Even though solving this problem yields less information than provided by Boolean Inference, we show that this information is more useful in practice, because it can be obtained accurately under weaker assumptions than typically required by Inference algorithms and more challenging network conditions (link correlations, non-stationary network dynamics, sparse topologies).
Keywords
Congestion statusIndividual network
Inference algorithm
Inference problem
Monitoring tools
Network condition
Network dynamics
Network tomography
Nonstationary
Algorithms
Inference engines
Permalink
http://hdl.handle.net/11693/28266Published Version (Please cite this version)
https://doi.org/10.1145/2079296.2079320Collections
Related items
Showing items related by title, author, creator and subject.
-
Energy efficient IP-connectivity with IEEE 802.11 for home M2M networks
Ozcelik, I. M.; Korpeoglu, I.; Agrawala, A. (Oxford University Press, 2017)Machine-to-machine communication (M2M) technology enables large-scale device communication and networking, including home devices and appliances. A critical issue for home M2M networks is how to efficiently integrate ... -
PSAR: Power-source-aware routing in ZigBee networks
Tekkalmaz, M.; Korpeoglu I. (2012)ZigBee is a recent wireless networking technology built on IEEE 802.15.4 standard and designed especially for low-data rate and low-duty cycle applications such as home and building automation and sensor networks. One of ... -
Wide area telecommunication network design: Application to the Alberta SuperNet
Cabral, E.A.; Erkut, E.; Laporte G.; Patterson, R.A. (2008)This article proposes a solution methodology for the design of a wide area telecommunication network. This study is motivated by the Alberta SuperNet project, which provides broadband Internet access to 422 communities ...