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Guanyao Huang
Researcher at University of California, Davis
Publications - 10
Citations - 185
Guanyao Huang is an academic researcher from University of California, Davis. The author has contributed to research in topics: Traffic engineering & Traffic generation model. The author has an hindex of 9, co-authored 10 publications receiving 181 citations. Previous affiliations of Guanyao Huang include University of California.
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Journal ArticleDOI
MeasuRouting: a framework for routing assisted traffic monitoring
TL;DR: A theoretical framework for MeasuRouting is presented and synthetic and practical monitoring applications are presented to showcase the utility enhancement achieved with this approach to intradomain routing.
Journal ArticleDOI
Dynamic measurement-aware routing in practice
TL;DR: Through an OpenFlow prototype, this article shows how dynamic measurement-aware routing (DMR) can be applied in enterprise networks and demonstrates how the solutions successfully route suspected iceberg flows to a DPI box for further processing, while preserving balanced load distribution in the overall network.
Journal ArticleDOI
Uncovering Global Icebergs in Distributed Streams: Results and Implications
TL;DR: A novel taxonomy of current sketches is provided and a thorough analysis of the strengths and weaknesses of each scheme under various QoS metrics, using both real and synthetic Internet trace data are performed.
Journal ArticleDOI
LEISURE: Load-Balanced Network-Wide Traffic Measurement and Monitor Placement
TL;DR: A centralized optimization framework, LEISURE (Load-EqualIzed meaSUREment), for load-balancing network measurement workloads across distributed monitors is presented and it is shown that LEISURES can achieve much better load-balanced performance than a naive solution to accomplish network-wide traffic measurement tasks under the fixed monitor deployment scenario.
Proceedings ArticleDOI
MeasuRouting: A Framework for Routing Assisted Traffic Monitoring
TL;DR: A theoretical framework for MeasuRouting, which can differentially route components of an aggregate flow while ensuring that the aggregate placement is compliant to original traffic engineering objectives, is presented and synthetic and practical monitoring applications are presented to showcase the utility enhancement achieved with this approach.