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Steve Uhlig
Researcher at Queen Mary University of London
Publications - 203
Citations - 12183
Steve Uhlig is an academic researcher from Queen Mary University of London. The author has contributed to research in topics: The Internet & Traffic engineering. The author has an hindex of 39, co-authored 197 publications receiving 10752 citations. Previous affiliations of Steve Uhlig include University of California, Berkeley & Deutsche Telekom.
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Journal ArticleDOI
Software-Defined Networking: A Comprehensive Survey
Diego Kreutz,Fernando M. V. Ramos,Paulo Veríssimo,Christian Esteve Rothenberg,Siamak Azodolmolky,Steve Uhlig +5 more
TL;DR: This paper presents an in-depth analysis of the hardware infrastructure, southbound and northbound application programming interfaces (APIs), network virtualization layers, network operating systems (SDN controllers), network programming languages, and network applications, and presents the key building blocks of an SDN infrastructure using a bottom-up, layered approach.
Posted Content
Software-Defined Networking: A Comprehensive Survey
Diego Kreutz,Fernando M. V. Ramos,Paulo Veríssimo,Christian Esteve Rothenberg,Siamak Azodolmolky,Steve Uhlig +5 more
TL;DR: Software-Defined Networking (SDN) as discussed by the authors is an emerging paradigm that promises to change this state of affairs, by breaking vertical integration, separating the network's control logic from the underlying routers and switches, promoting (logical) centralization of network control, and introducing the ability to program the network.
Journal ArticleDOI
Providing public intradomain traffic matrices to the research community
TL;DR: This paper presents a new publicly available dataset from GÉANT, the European Research and Educational Network, which consists of traffic matrices built using full IGP routing information, sampled Netflow data and BGP routing data of the GÉant network, one per 15 minutes interval for several months.
Proceedings ArticleDOI
Elastic sketch: adaptive and fast network-wide measurements
Tong Yang,Jie Jiang,Peng Liu,Qun Huang,Junzhi Gong,Yang Zhou,Rui Miao,Xiaoming Li,Steve Uhlig +8 more
TL;DR: The Elastic sketch is proposed, which is adaptive to currently traffic characteristics, generic to measurement tasks and platforms, and implemented on six platforms to process typical measurement tasks.
Journal ArticleDOI
IP geolocation databases: unreliable?
TL;DR: This is the first study using a ground truth showing that the overly fine granularity of database entries makes their accuracy worse, not better, and quantifies the accuracy of geolocation databases on a large European ISP based on ground truth information.