EDGELESS Project: On the Road to Serverless Edge AI

C. Cicconetti, E. Carlini, Antonio Paradell
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引用次数: 0

Abstract

The EDGELESS project is set to efficiently operate serverless computing in extremely diverse computing environments, from resource-constrained edge devices to highly-virtualized cloud platforms. Automatic deployment and reconfiguration will leverage AI/ML techniques, resulting in a flexible horizontally-scalable computation solution able to fully use heterogeneous edge resources while preserving vertical integration with the cloud and the benefits of serverless and its companion programming model, i.e., Function-as-a-Service (FaaS). The system under design will be environmentally sustainable, as it will dynamically concentrate resources physically (e.g., by temporarily switching off far-edge devices) or logically (e.g., by dispatching tasks towards a specific set of nodes) at the expense of performance-tolerant applications.
无边缘项目:在通往无服务器边缘AI的道路上
EDGELESS项目旨在在极其多样化的计算环境中高效运行无服务器计算,从资源受限的边缘设备到高度虚拟化的云平台。自动部署和重新配置将利用AI/ML技术,从而产生灵活的水平可扩展计算解决方案,能够充分利用异构边缘资源,同时保持与云的垂直集成以及无服务器及其配套编程模型(即功能即服务(FaaS))的优势。设计中的系统将是环境可持续的,因为它将动态地集中物理资源(例如,通过暂时关闭远端设备)或逻辑资源(例如,通过向特定节点集调度任务),以牺牲性能容忍的应用程序为代价。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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