Publikationer från Malmö universitet
Endre søk
RefereraExporteraLink to record
Permanent link

Direct link
Referera
Referensformat
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Annet format
Fler format
Språk
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Annet språk
Fler språk
Utmatningsformat
  • html
  • text
  • asciidoc
  • rtf
Edge Computing Simulators for IoT System Design: An Analysis of Qualities and Metrics
Malmö universitet, Fakulteten för teknik och samhälle (TS), Institutionen för datavetenskap och medieteknik (DVMT).
Malmö universitet, Fakulteten för teknik och samhälle (TS), Institutionen för datavetenskap och medieteknik (DVMT).ORCID-id: 0000-0002-8209-0921
Malmö universitet, Fakulteten för teknik och samhälle (TS), Institutionen för datavetenskap och medieteknik (DVMT).ORCID-id: 0000-0003-0998-6585
Malmö universitet, Fakulteten för teknik och samhälle (TS), Institutionen för datavetenskap och medieteknik (DVMT).ORCID-id: 0000-0003-0326-0556
2019 (engelsk)Inngår i: Future Internet, E-ISSN 1999-5903, Vol. 11, nr 11, s. 235-246Artikkel i tidsskrift (Fagfellevurdert) Published
Abstract [en]

The deployment of Internet of Things (IoT) applications is complex since many quality characteristics should be taken into account, for example, performance, reliability, and security. In this study, we investigate to what extent the current edge computing simulators support the analysis of qualities that are relevant to IoT architects who are designing an IoT system. We first identify the quality characteristics and metrics that can be evaluated through simulation. Then, we study the available simulators in order to assess which of the identified qualities they support. The results show that while several simulation tools for edge computing have been proposed, they focus on a few qualities, such as time behavior and resource utilization. Most of the identified qualities are not considered and we suggest future directions for further investigation to provide appropriate support for IoT architects.

sted, utgiver, år, opplag, sider
MDPI, 2019. Vol. 11, nr 11, s. 235-246
Emneord [en]
Internet of Things, edge computing, simulation tools, quality characteristics, metrics, ISO/IEC 25023
HSV kategori
Identifikatorer
URN: urn:nbn:se:mau:diva-37014DOI: 10.3390/fi11110235ISI: 000502277600015Scopus ID: 2-s2.0-85075344380OAI: oai:DiVA.org:mau-37014DiVA, id: diva2:1504451
Tilgjengelig fra: 2020-11-27 Laget: 2020-11-27 Sist oppdatert: 2024-02-05bibliografisk kontrollert
Inngår i avhandling
1. Towards Supporting IoT System Designers in Edge Computing Deployment Decisions
Åpne denne publikasjonen i ny fane eller vindu >>Towards Supporting IoT System Designers in Edge Computing Deployment Decisions
2021 (engelsk)Licentiatavhandling, med artikler (Annet vitenskapelig)
Abstract [en]

The rapidly evolving Internet of Things (IoT) systems demands addressing new requirements. This particularly needs efficient deployment of IoT systems to meet the quality requirements such as latency, energy consumption, privacy, and bandwidth utilization. The increasing availability of computational resources close to the edge has prompted the idea of using these for distributed computing and storage, known as edge computing. Edge computing may help and complement cloud computing to facilitate deployment of IoT systems and improve their quality. However, deciding where to deploy the various application components is not a straightforward task, and IoT system designer should be supported for the decision.

To support the designers, in this thesis we focused on the system qualities, and aimed for three main contributions. First, by reviewing the literature, we identified the relevant and most used qualities and metrics. Moreover, to analyse how computer simulation can be used as a supporting tool, we investigated the edge computing simulators, and in particular the metrics they provide for modeling and analyzing IoT systems in edge computing. Finally, we introduced a method to represent how multiple qualities can be considered in the decision. In particular, we considered distributing Deep Neural Network layers as a use case and raked the deployment options by measuring the relevant metrics via simulation.

sted, utgiver, år, opplag, sider
Malmö: Malmö universitet, 2021. s. 141
Serie
Studies in Computer Science ; 13
Emneord
Internet of Things, Edge computing, Decision Support, Quality Attrib-utes, Metrics, Simulation
HSV kategori
Identifikatorer
urn:nbn:se:mau:diva-37068 (URN)10.24834/isbn.9789178771592 (DOI)978-91-7877-158-5 (ISBN)978-91-7877-159-2 (ISBN)
Veileder
Merknad

Note: The papers are not included in the fulltext online

Tilgjengelig fra: 2020-12-03 Laget: 2020-12-02 Sist oppdatert: 2024-03-07bibliografisk kontrollert

Open Access i DiVA

fulltext(1186 kB)108 nedlastinger
Filinformasjon
Fil FULLTEXT01.pdfFilstørrelse 1186 kBChecksum SHA-512
444be64771a3f52998147f58ba4afaaf246a1e266bb4d9e390d2a8ecc6c42bc00e0f42d2abbc2df5f2262f6afab2b11a85c59bbcd05fdec27731127d5488c8e7
Type fulltextMimetype application/pdf

Andre lenker

Forlagets fulltekstScopus

Person

Ashouri, MajidLorig, FabianDavidsson, PaulSpalazzese, Romina

Søk i DiVA

Av forfatter/redaktør
Ashouri, MajidLorig, FabianDavidsson, PaulSpalazzese, Romina
Av organisasjonen
I samme tidsskrift
Future Internet

Søk utenfor DiVA

GoogleGoogle Scholar
Totalt: 108 nedlastinger
Antall nedlastinger er summen av alle nedlastinger av alle fulltekster. Det kan for eksempel være tidligere versjoner som er ikke lenger tilgjengelige

doi
urn-nbn

Altmetric

doi
urn-nbn
Totalt: 111 treff
RefereraExporteraLink to record
Permanent link

Direct link
Referera
Referensformat
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Annet format
Fler format
Språk
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Annet språk
Fler språk
Utmatningsformat
  • html
  • text
  • asciidoc
  • rtf