The DOI matches its Crossref record; 2 of the 2 references it cites were found in a registry or an index.
Network traffic characteristics of data centers in the wild
Abstract
Although there is tremendous interest in designing improved networks for data centers, very little is known about the network-level traffic characteristics of data centers today. In this paper, we conduct an empirical study of the network traffic in 10 data centers belonging to three different categories, including university, enterprise campus, and cloud data centers. Our definition of cloud data centers includes not only data centers employed by large online service providers offering Internet-facing applications but also data centers used to host data-intensive (MapReduce style) applications). We collect and analyze SNMP statistics, topology and packet-level traces. We examine the range of applications deployed in these data centers and their placement, the flow-level and packet-level transmission properties of these applications, and their impact on network and link utilizations, congestion and packet drops. We describe the implications of the observed traffic patterns for data center internal traffic engineering as well as for recently proposed architectures for data center networks.
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Cites
Bro: a system for detecting network intruders in real-time
Paxson, V. (1999) · Computer Networks · doi:10.1016/s1389-1286(99)00112-7 · Cited by 2,636
(2010) · doi:10.5555/1855711.1855728 · Cited by 970
Cited by
Software-Defined Networking: A Comprehensive Survey
Kreutz, D., Ramos, F. M. V., Esteves Verissimo, P., Esteve Rothenberg, C., Azodolmolky, S., & Uhlig, S. (2015) · Proceedings of the IEEE · doi:10.1109/jproc.2014.2371999 · Cited by 5,050
A survey on software-defined network and openflow: From concept to implementation
Hu, F., Hao, Q., & Bao, K. (2014) · IEEE Communications Surveys & Tutorials · doi:10.1109/comst.2014.2326417 · Cited by 752
Understanding network failures in data centers: measurement, analysis, and implications
Gill, P., Jain, N., & Nagappan, N. (2011) · Proceedings of the ACM SIGCOMM 2011 conference · doi:10.1145/2018436.2018477 · Cited by 714
Xie, J., Yu, F. R., Huang, T., Xie, R., Liu, J., Wang, C., & Liu, Y. (2019) · IEEE Communications Surveys & Tutorials · doi:10.1109/comst.2018.2866942 · Cited by 700
A roadmap for traffic engineering in SDN-OpenFlow networks
Akyildiz, I. F., Lee, A., Wang, P., Luo, M., & Chou, W. (2014) · Computer Networks · doi:10.1016/j.comnet.2014.06.002 · Cited by 536
Metadata
- Authors
- Benson, T., Akella, A., & Maltz, D. A.
- Venue
- Proceedings of the 10th ACM SIGCOMM conference on Internet measurement
- Publisher
- ACM
- Published
- 2010-11
- Pages
- 267-280
- OpenAlex
- W2168595508
- Cited by
- 2,214
- References
- 2
- FWCI
- 61.58
- Type
- conference paper
- Language
- en
- Open access
- closed
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- Benson, T., Akella, A., & Maltz, D. A. (2010). Network traffic characteristics of data centers in the wild. Proceedings of the 10th ACM SIGCOMM conference on Internet measurement. https://doi.org/10.1145/1879141.1879175
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
