EDGELESS Project: On the Road to Serverless Edge AI

C. Cicconetti, E. Carlini, Antonio Paradell
{"title":"EDGELESS Project: On the Road to Serverless Edge AI","authors":"C. Cicconetti, E. Carlini, Antonio Paradell","doi":"10.1145/3589010.3594890","DOIUrl":null,"url":null,"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.","PeriodicalId":325857,"journal":{"name":"Proceedings of the 3rd Workshop on Flexible Resource and Application Management on the Edge","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2023-08-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of the 3rd Workshop on Flexible Resource and Application Management on the Edge","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/3589010.3594890","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
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.
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
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。
求助全文
约1分钟内获得全文 去求助
来源期刊
自引率
0.00%
发文量
0
期刊最新文献
Innovation Potential of the ACCORDION Platform An Intelligent Continuum for Intelligent Applications Contention-aware Performance Modeling for Heterogeneous Edge and Cloud Systems TEACHING: A Computing Toolkit for Building Efficient Autonomous appliCations Leveraging Humanistic INtelliGence DATA7: A Dataset for Assessing Resource and Application Management Solutions at the Edge
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1