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NOX: towards an operating system for networks

Gude, Natasha, Koponen, Teemu, Pettit, Justin, Pfaff, Ben, Casado, Martín, McKeown, Nick, Shenker, Scott·2008·ACM SIGCOMM Computer Communication Review

Abstract

column NOX: towards an operating system for networks Authors: Natasha Gude Nicira Networks Nicira NetworksView Profile , Teemu Koponen HIIT HIITView Profile , Justin Pettit Nicira Networks Nicira NetworksView Profile , Ben Pfaff Nicira Networks Nicira NetworksView Profile , Martín Casado Nicira Networks Nicira NetworksView Profile , Nick McKeown Stanford University Stanford UniversityView Profile , Scott Shenker University of California, Berkeley, CA University of California, Berkeley, CAView Profile Authors Info & Claims ACM SIGCOMM Computer Communication ReviewVolume 38Issue 3July 2008 pp 105–110https://doi.org/10.1145/1384609.1384625Published:01 July 2008Publication History 1,121citation5,099DownloadsMetricsTotal Citations1,121Total Downloads5,099Last 12 Months246Last 6 weeks27 Get Citation AlertsNew Citation Alert added!This alert has been successfully added and will be sent to:You will be notified whenever a record that you have chosen has been cited.To manage your alert preferences, click on the button below.Manage my AlertsNew Citation Alert!Please log in to your account Save to BinderSave to BinderCreate a New BinderNameCancelCreateExport CitationPublisher SiteGet Access

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Metadata

Authors
Gude, N., Koponen, T., Pettit, J., Pfaff, B., Casado, M., McKeown, N., & Shenker, S.
Venue
ACM SIGCOMM Computer Communication Review
Published
2008-07
Volume
38
Issue
3
Pages
105-110
ISSN
0146-4833 (ISSN-L)
OpenAlex
W2022758041
Cited by
1,446
References
0
FWCI
69.13
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: NOX: towards an operating system for networks. https://app.cochat.ai/papers/10.1145/1384609.1384625
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Gude, N., Koponen, T., Pettit, J., Pfaff, B., Casado, M., McKeown, N., & Shenker, S. (2008). NOX: towards an operating system for networks. ACM SIGCOMM Computer Communication Review. https://doi.org/10.1145/1384609.1384625

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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.