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The nature of data center traffic: measurements & analysis

Kandula, Srikanth, Sengupta, Sudipta, Greenberg, Albert, Patel, Parveen, Chaiken, Ronnie·2009·Proceedings of the 9th ACM SIGCOMM conference on Internet measurement

Abstract

We explore the nature of traffic in data centers, designed to support the mining of massive data sets. We instrument the servers to collect socket-level logs, with negligible performance impact. In a 1500 server operational cluster, we thus amass roughly a petabyte of measurements over two months, from which we obtain and report detailed views of traffic and congestion conditions and patterns. We further consider whether traffic matrices in the cluster might be obtained instead via tomographic inference from coarser-grained counter data.

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Metadata

Authors
Kandula, S., Sengupta, S., Greenberg, A., Patel, P., & Chaiken, R.
Venue
Proceedings of the 9th ACM SIGCOMM conference on Internet measurement
Publisher
ACM
Published
2009-11-04
Pages
202-208
OpenAlex
W2062832101
Cited by
1,030
References
0
FWCI
27.26
Type
conference paper
Language
en
Open access
closed

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CoChat. (2026). Citation check: The nature of data center traffic: measurements & analysis. https://app.cochat.ai/papers/10.1145/1644893.1644918
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Kandula, S., Sengupta, S., Greenberg, A., Patel, P., & Chaiken, R. (2009). The nature of data center traffic: measurements & analysis. Proceedings of the 9th ACM SIGCOMM conference on Internet measurement. https://doi.org/10.1145/1644893.1644918

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Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.