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.

EDGELESS Project: on the road to serverless edge AI

Cicconetti C;Carlini E;
2023

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.
2023
Istituto di informatica e telematica - IIT
Istituto di Scienza e Tecnologie dell'Informazione "Alessandro Faedo" - ISTI
Inglese
FRAME '23 - 3rd Workshop on Flexible Resource and Application Management on the EdgeAugust 2023 - colocated with HPDC '23 - 32nd International Symposium on High-Performance Parallel and Distributed Computing
41
43
3
9798400701641
https://dl.acm.org/doi/abs/10.1145/3589010.3594890
ACM Press
New York
STATI UNITI D'AMERICA
Sì, ma tipo non specificato
20/06/2023
Orlando, Florida, USA
Serverless computing
Edge computing
Internet of Things
Resource- constrained devices
3
partially_open
Cicconetti, C; Carlini, E; Paradell, A
273
info:eu-repo/semantics/conferenceObject
04 Contributo in convegno::04.01 Contributo in Atti di convegno
File in questo prodotto:
File Dimensione Formato  
prod_487615-doc_202636.pdf

solo utenti autorizzati

Descrizione: Postprint - EDGELESS Project: On the Road to Serverless Edge AI
Tipologia: Versione Editoriale (PDF)
Dimensione 460.53 kB
Formato Adobe PDF
460.53 kB Adobe PDF   Visualizza/Apri   Richiedi una copia
prod_487615-doc_202879.pdf

accesso aperto

Descrizione: EDGELESS Project: On the Road to Serverless Edge AI
Tipologia: Versione Editoriale (PDF)
Dimensione 914.45 kB
Formato Adobe PDF
914.45 kB Adobe PDF Visualizza/Apri

I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.

Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/20.500.14243/438328
Citazioni
  • ???jsp.display-item.citation.pmc??? ND
  • Scopus 6
  • ???jsp.display-item.citation.isi??? ND
social impact