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Path inference in data center networks

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6 Author(s)
Levanti, K. ; Carnegie Mellon Univ., Pittsburgh, PA, USA ; Gopalakrishnan, V. ; Kim, H.S. ; Seungjoon Lee
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This paper presented Chartis, a path inference system for data center networks. Chartis takes as input router configurations and topology data to emulate hop-by-hop path calculation and overcomes the limitations of existing path tracing tools such as traceroute. We verified that the inferred paths by Chartis match the set of devices actual packets traverse. We also demonstrated that how Chartis was used to perform various network management tasks such as service troubleshooting.

Published in:

Network and service management (cnsm), 2012 8th international conference and 2012 workshop on systems virtualiztion management (svm)

Date of Conference:

22-26 Oct. 2012

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