Te-Yuan Huang

TL;DR: This work suggests an alternative approach: rather than presuming that capacity estimation is required, it is perhaps better to begin by using only the buffer, and then ask whencapacity estimation is needed, which allows us to reduce the rebuffer rate by 10-20% compared to Netflix's then-default ABR algorithm, while delivering a similar average video rate.

TL;DR: This work measures three popular video streaming services -- Hulu, Netflix, and Vudu -- and finds that accurate client-side bandwidth estimation above the HTTP layer is hard, and rate selection based on inaccurate estimates can trigger a feedback loop, leading to undesirably variable and low-quality video.

TL;DR: FlowVisor is demonstrated, a special purpose OpenFlow controller that allows multiple researchers to run experiments safely and independently on the same production OpenFlow network and four network slices running in parallel.

TL;DR: This paper presents OpenRoads, an open-source platform for innovation in mobile networks that enables researchers to innovate using their own production networks, through providing an wireless extension OpenFlow.

TL;DR: It is proposed to build and deploy an open - but backward compatible - wireless network infrastructure that can be easily deployed on college campuses worldwide, and allows rapid innovation of network services, contributed by researchers, network operators, equipment vendors and third party developers.