Bozorgchenani, A. orcid.org/0000-0003-1360-6952, Tarchi, D. orcid.org/0000-0001-7338-1957 and Cerroni, W. orcid.org/0000-0002-4629-031X (2021) On-Demand Service Deployment Strategies for Fog-as-a-Service Scenarios. IEEE Communications Letters, 25 (5). pp. 1500-1504. ISSN 1089-7798
Abstract
Service deployment at the network edge is a promising area that has been studied recently in the literature. In this work we have investigated a Fog-as-a-Service scenario, where multiple Server Fog Nodes (SFNs) can serve multiple Client Fog Nodes (CFNs) by exploiting different service deployment models, i.e., SaaS, PaaS, and IaaS, in a flexible way. The system has been modeled as a Size-Constrained Weighted Set Cover Problem aiming at maximizing the amount of satisfied CFNs exploiting a heterogeneous service deployment architecture, while minimizing the service completion time in a computation offloading scenario. In the simulation results section, we analyze the performance of different methods in terms of percentage of CFNs' offloading requests satisfaction and offloading delay.
Metadata
Item Type: | Article |
---|---|
Authors/Creators: |
|
Copyright, Publisher and Additional Information: | © 2021 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works. |
Keywords: | Fog computing, service deployment, computation offloading, optimization, weighted set cover problem |
Dates: |
|
Institution: | The University of Leeds |
Academic Units: | The University of Leeds > Faculty of Engineering & Physical Sciences (Leeds) > School of Computing (Leeds) |
Depositing User: | Symplectic Publications |
Date Deposited: | 31 Aug 2023 12:56 |
Last Modified: | 01 Sep 2023 13:49 |
Published Version: | https://ieeexplore.ieee.org/document/9340334 |
Status: | Published |
Publisher: | IEEE |
Identification Number: | 10.1109/lcomm.2021.3055535 |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:201530 |