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Cited by 266

The DOI matches its Crossref record; 4 of the 4 references it cites were found in a registry or an index.

OpenRoads: empowering research in mobile networks

Yap, Kok-Kiong, Kobayashi, Masayoshi, Sherwood, Rob, Huang, Te-Yuan, Chan, Michael, Handigol, Nikhil, McKeown, Nick·2010·ACM SIGCOMM Computer Communication Review

Abstract

We present OpenRoads, an open-source platform for innovation in mobile networks. OpenRoads enable researchers to innovate using their own production networks, through providing an wireless extension OpenFlow. Therefore, you can think of OpenRoads as "OpenFlow Wireless". The OpenRoads' architecture consists of three layers: flow, slicing and controller. These layers provide flexible control, virtualization and high-level abstraction. This allows researchers to implement wildly different algorithms and run them concurrently in one network. OpenRoads also incorporates multiple wireless technologies, specifically WiFi and WiMAX. We have deployed OpenRoads, and used it as our production network. Our goal here is for those to deploy OpenRoads and build their own experiments on it.

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Metadata

Authors
Yap, K.-K., Kobayashi, M., Sherwood, R., Huang, T.-Y., Chan, M., Handigol, N., & McKeown, N.
Venue
ACM SIGCOMM Computer Communication Review
Published
2010-01-07
Volume
40
Issue
1
Pages
125-126
ISSN
0146-4833 (ISSN-L)
OpenAlex
W2164962034
Cited by
266
References
4
FWCI
14.24
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: OpenRoads: empowering research in mobile networks. https://app.cochat.ai/papers/10.1145/1672308.1672331
The paper
Yap, K.-K., Kobayashi, M., Sherwood, R., Huang, T.-Y., Chan, M., Handigol, N., & McKeown, N. (2010). OpenRoads: empowering research in mobile networks. ACM SIGCOMM Computer Communication Review. https://doi.org/10.1145/1672308.1672331

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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.