Multimedia Tools and Applications https://doi.org/10.1007/s11042-018-6940-2 MioStream: a peer-to-peer distributed live media streaming on the edge Servio Palacios 1 · Victor Santos 1 · Edgardo Barsallo 1 · Bharat Bhargava 1 Received: 3 July 2018 / Revised: 1 November 2018 / Accepted: 23 November 2018 / © Springer Science+Business Media, LLC, part of Springer Nature 2019 Abstract The typical centralized cloud model is poorly suited to latency-sensitive applications requir- ing low-latency and high-throughput. This paper proposes an integrity-preserving serverless framework for live-video streaming that runs on the edge of the network. We present the design, implementation, and evaluation of a novel P2P service based on WebRTC (web browsers with Real-Time Communications) called MioStream. MioStream is an open- source alternative for distributed media streaming that runs on the edge of the network without incurring in costly and extensive CDN infrastructure. We contribute a unique mix of algorithms using WebRTC data channels. For instance, under network degradation and high-churn environments, MioStream restructures the topology dynamically. MioStream provides authentication, privacy, and integrity of video chunks. This paper exposes a set of micro-benchmarks to measure the quality of service under network degradation and high churn environment (inducing failures). The Mesh topology offers the highest goodput per peer; the stalled playback on a node equals 1.8% of the total video play. Our results show the feasibility of this proof of concept under high-churn environments. The total stream inter- ruptions in the topology are not longer than one second under a binomial distributed series of failures. The integrity check applied to each package includes a considerable overhead and impact the quality of service. Keywords Edge computing · Event-driven model · Media streaming · Peer-to-Peer · WebRTC  Servio Palacios spalacio@purdue.edu Victor Santos vsantosu@purdue.edu Edgardo Barsallo ebarsall@purdue.edu Bharat Bhargava bbshail@purdue.edu 1 Computer Science Department, Purdue University, West Lafayette, IN 47907, USA