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arXiv · 1901.01222

Efficient, Dynamic Multi-tenant Edge Computation in EdgeOS

Yuxin Ren·Vlad Nitu·Guyue Liu·Gabriel Parmer·Timothy Wood·Alain Tchana·Riley Kennedy
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Abstract

In the future, computing will be immersed in the world around us -- from augmented reality to autonomous vehicles to the Internet of Things. Many of these smart devices will offer services that respond in real time to their physical surroundings, requiring complex processing with strict performance guarantees. Edge clouds promise a pervasive computational infrastructure a short network hop away from end devices, but today's operating systems are a poor fit to meet the goals of scalable isolation, dense multi-tenancy, and predictable performance required by these emerging applications. In this paper we present EdgeOS, a micro-kernel based operating system that meets these goals by blending recent advances in real-time systems and network function virtualization. EdgeOS introduces a Featherweight Process model that offers lightweight isolation and supports extreme scalability even under high churn. Our architecture provides efficient communication mechanisms, and low-overhead per-client isolation. To achieve high performance networking, EdgeOS employs kernel bypass paired with the isolation properties of Featherweight Processes. We have evaluated our EdgeOS prototype for running high scale network middleboxes using the Click software router and endpoint applications using memcached. EdgeOS reduces startup latency by 170X compared to Linux processes and over five orders of magnitude compared to containers, while providing three orders of magnitude latency improvement when running 300 to 1000 edge-cloud memcached instances on one server.

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Yuxin Ren, Vlad Nitu, Guyue Liu, Gabriel Parmer, Timothy Wood, Alain Tchana, Riley Kennedy. 2019-01-04. Efficient, Dynamic Multi-tenant Edge Computation in EdgeOS. https://arxiv.org/abs/1901.01222

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