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MioStream: a peer-to-peer distributed live media streaming on the edge

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Abstract

The typical centralized cloud model is poorly suited to latency-sensitive applications requiring 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 interruptions 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.

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Notes

  1. We refer the reader to this useful books. You will find a detailed explanation of WebSockets and WebRTC

  2. Extending our library to include Elliptic Curve Cryptography is straightforward.

  3. In this paper, we use the terms nodes, vertices, and peers interchangeably.

  4. Our future work will include a Certification Authority to deal with digital signatures, public keys, and tokens.

  5. The threshold represents the probability of the integrity analysis of a video chunk.

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Authors and Affiliations

  1. Computer Science Department, Purdue University, West Lafayette, IN, 47907, USA

    Servio Palacios, Victor Santos, Edgardo Barsallo & Bharat Bhargava

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  1. Servio Palacios
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  2. Victor Santos
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  3. Edgardo Barsallo
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  4. Bharat Bhargava
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Correspondence to Servio Palacios.

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Palacios, S., Santos, V., Barsallo, E. et al. MioStream: a peer-to-peer distributed live media streaming on the edge. Multimed Tools Appl 78, 24657–24680 (2019). https://doi.org/10.1007/s11042-018-6940-2

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