LAYSTREAM: Composing standard gossip protocols for live video streaming

Abstract

Gossip-based live streaming is a popular topic, as attested by the vast literature on the subject. Despite the particular merits of each proposal, all need to implement and deal with common challenges such as membership management, topology construction and video packets dissemination. Well-principled gossip-based protocols have been proposed in the literature for each of these aspects. Our goal is to assess the feasibility of building a live streaming system, LAYSTREAM, as a composition of these existing protocols, to deploy the resulting system on real testbeds, and report on lessons learned in the process. Unlike previous evaluations conducted by simulations and considering each protocol independently, we use real deployments. We evaluate protocols both independently and as a layered composition, and unearth specific problems and challenges associated with deployment and composition. We discuss and present solutions for these, such as a novel topology construction mechanism able to cope with the specificities of a large-scale and delay-sensitive environment, but also with requirements from the upper layer. Our implementation and data are openly available to support experimental reproducibility.

Stabilization of Variable Bit Rate Video Streams Using Linear Lyapunov Functions on Wireless Mobile Network

“…For efficient delivery of videos a novel mechanism was designed in [8] to measure QoE and energy consumption were analyzed which resulted in optimal playback buffer configurations. A live streaming system called LAYSTREAM [9] was designed to address issues related to management of membership, construction of topology and effective transmission of video packets. Adaptive Streaming (AS) [10] algorithms were designed for delivering of good quality video files through Internet using in network resource management framework.…”

DATAFLASKS: Epidemic Store for Massive Scale Systems

“…In particular, we designed DATAFLASKS based on a stack of gossip or epidemic protocols which are known for their scalability and resilience under highly dynamic environments. They have been successfully used to build several webscale systems and applications [9] like overlay construction and maintenance [10], [11], consensus [12], data aggregation [13], distributed slicing [14]- [17] and live video streaming [18]. One key characteristic of these protocols is that they rely solely on partial data about the system.…”