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
Quality attributes in edge computing for the Internet of Things: A systematic mapping study
Malmö universitet, Fakulteten för teknik och samhälle (TS), Institutionen för datavetenskap och medieteknik (DVMT). Malmö universitet, Internet of Things and People (IOTAP).
Malmö universitet, Fakulteten för teknik och samhälle (TS), Institutionen för datavetenskap och medieteknik (DVMT). Malmö universitet, Internet of Things and People (IOTAP).ORCID-id: 0000-0003-0998-6585
Malmö universitet, Fakulteten för teknik och samhälle (TS), Institutionen för datavetenskap och medieteknik (DVMT). Malmö universitet, Internet of Things and People (IOTAP).ORCID-id: 0000-0003-0326-0556
2021 (engelsk)Inngår i: Internet of Things: Engineering Cyber Physical Human Systems, E-ISSN 2542-6605, Vol. 13, artikkel-id 100346Artikkel i tidsskrift (Fagfellevurdert) Published
Abstract [en]

Many Internet of Things (IoT) systems generate a massive amount of data needing to be processed and stored efficiently. Cloud computing solutions are often used to handle these tasks. However, the increasing availability of computational resources close to the edge has prompted the idea of using these for distributed computing and storage. Edge computing may help to improve IoT systems regarding important quality attributes like latency, energy consumption, privacy, and bandwidth utilization. However, deciding where to deploy the various application components is not a straightforward task. This is largely due to the trade-offs between the quality attributes relevant for the application. We have performed a systematic mapping study of 98 articles to investigate which quality attributes have been used in the literature for assessing IoT systems using edge computing. The analysis shows that time behavior and resource utilization are the most frequently used quality attributes; further, response time, turnaround time, and energy consumption are the most used metrics for quantifying these quality attributes. Moreover, simulation is the main tool used for the assessments, and the studied trade-offs are mainly between only two qualities. Finally, we identified a number of research gaps that need further study.

sted, utgiver, år, opplag, sider
Elsevier, 2021. Vol. 13, artikkel-id 100346
Emneord [en]
Internet of Things, Edge computing, Quality attributes, Metrics, Systematic mapping study
HSV kategori
Identifikatorer
URN: urn:nbn:se:mau:diva-39120DOI: 10.1016/j.iot.2020.100346ISI: 000695695700015Scopus ID: 2-s2.0-85106740791OAI: oai:DiVA.org:mau-39120DiVA, id: diva2:1517234
Tilgjengelig fra: 2021-01-13 Laget: 2021-01-13 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(1455 kB)1041 nedlastinger
Filinformasjon
Fil FULLTEXT01.pdfFilstørrelse 1455 kBChecksum SHA-512
06c62962d6448e9843e7ed2e99e9382062d99c4ee6dcbd942bb2d7ee92efb9d35ceb945ccd9e6de32414f78072797126dea10913db401b05f4b5cd5161a1b773
Type fulltextMimetype application/pdf

Andre lenker

Forlagets fulltekstScopus

Person

Ashouri, MajidDavidsson, PaulSpalazzese, Romina

Søk i DiVA

Av forfatter/redaktør
Ashouri, MajidDavidsson, PaulSpalazzese, Romina
Av organisasjonen
I samme tidsskrift
Internet of Things: Engineering Cyber Physical Human Systems

Søk utenfor DiVA

GoogleGoogle Scholar
Totalt: 1041 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: 256 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