Ramesh Johari

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: In this paper, the authors explore the properties of a congestion game in which users of a congested resource anticipate the effect of their actions on the price of the resource and show that the selfish behavior of the users leads to an aggregate utility that is no worse than 3/4 of the maximum possible aggregate utility.

TL;DR: Stability results for a fluid flow model of end-to-end Internet congestion control and criteria for local stability and rate of convergence are completely characterized for a single resource, single user system.

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.