Skip to Main Content (Press Enter)

Logo UNIME
  • ×
  • Home
  • Degrees
  • Courses
  • Jobs
  • People
  • Outputs
  • Organizations
  • Third Mission
  • Expertise & Skills

Expertise & Skills
Logo UNIME

|

UNIFIND - Expertise & Skills

unime.it
  • ×
  • Home
  • Degrees
  • Courses
  • Jobs
  • People
  • Outputs
  • Organizations
  • Third Mission
  • Expertise & Skills
  1. Outputs

FaaS for IoT: Evolving Serverless towards Deviceless in I/Oclouds

Academic Article
Publication Date:
2024
abstract:
The burgeoning paradigms of Fog and Edge computing propose delegating Cloud-related tasks to the network’s periphery, thus placing computational resources closer to data producers. This shift promises to boost the performance of IoT-based services, providing swift response times while conserving bandwidth. Despite their potential, the current Edge/Fog computing platforms must provide the required flexibility for dynamic service orchestration within a data-oriented context. Addressing this gap, the Function-as-a-Service (FaaS) model emerges as an exceptional strategy for Edge/Fog deployments. Its ability to manage an ever-expanding ecosystem of devices with remarkable flexibility and efficiency holds considerable promise. This paper articulates a novel approach to enhancing the adaptability of IoT Edge/Fog deployments. We propose an innovative extension to OpenStack, an open-source Cloud management system, which pushes its functionality towards the network Edge. Our approach empowers OpenStack to facilitate FaaS services within a distributed IoT infrastructure, thus infusing unprecedented adaptability and efficiency into the Edge/Fog computing paradigms.
Iris type:
14.a.1 Articolo su rivista
Keywords:
IoT, Serverless, Deviceless, FaaS, Edge computing, Stack4Things
List of contributors:
Merlino, Giovanni; Tricomi, Giuseppe; D’Agati, Luca; Benomar, Zakaria; Longo, Francesco; Puliafito, Antonio
Authors of the University:
D'AGATI Luca
LONGO Francesco
MERLINO Giovanni
PULIAFITO Antonio
TRICOMI Giuseppe
Handle:
https://iris.unime.it/handle/11570/3289371
Published in:
FUTURE GENERATION COMPUTER SYSTEMS
Journal
  • Overview

Overview

URL

https://www.sciencedirect.com/science/article/pii/S0167739X23004922
  • Guide
  • Help
  • Accessibility
  • Privacy
  • Use of cookies
  • Legal notes

Powered by VIVO | Designed by Cineca | 26.5.0.0