{"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":"45 1","pages":"0"},"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.