Please use this identifier to cite or link to this item: http://hdl.handle.net/2440/36188
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Type: Conference paper
Title: Privacy-preserving performance measurements
Author: Roughan, M.
Zhang, Y.
Citation: Proceedings of the 2006 SIGCOMM workshop on Mining network data, pp. 329-334
Publisher: ACM
Publisher Place: Italy
Issue Date: 2006
ISBN: 159593569X
9781595935694
Conference Name: Joint International Conference on Measurement and Modeling of Computer Systems (2006 : Pisa, Italy)
Statement of
Responsibility: 
Matthew Roughan, Yin Zhang
Abstract: Internet performance is an issue of great interest, but it is not trivial to measure. A number of commercial companies try to measure this, as does RIPE, and many individual Internet Service Providers. However, all are hampered in their efforts by a fear of sharing such sensitive information. Customers make decision about "which provider" based on such measurements, and so service providers certainly do not want such data to be public (except in the case of the top provider), but at the same time, it is in everyones' interest to have good metrics in order to reduce the risk of large network problems, and to test the effect of proposed network improvements.This paper shows that it is possible to have your cake, and eat it too. Providers (and other interested parties) can make such measurements, and compute Internet-wide metrics securely in the knowledge that their private data is never shared, and so cannot be abused.
Rights: Copyright 2006 ACM
RMID: 0020062801
DOI: 10.1145/1162678.1162687
Appears in Collections:Applied Mathematics publications

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