Publikationer från Malmö universitet
Ändra sökning
RefereraExporteraLänk till posten
Permanent länk

Direktlänk
Referera
Referensformat
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Annat format
Fler format
Språk
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Annat 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 (Engelska)Ingår i: Internet of Things: Engineering Cyber Physical Human Systems, E-ISSN 2542-6605, Vol. 13, artikel-id 100346Artikel i tidskrift (Refereegranskat) 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.

Ort, förlag, år, upplaga, sidor
Elsevier, 2021. Vol. 13, artikel-id 100346
Nyckelord [en]
Internet of Things, Edge computing, Quality attributes, Metrics, Systematic mapping study
Nationell ämneskategori
Datorsystem Kommunikationssystem Inbäddad systemteknik
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
Tillgänglig från: 2021-01-13 Skapad: 2021-01-13 Senast uppdaterad: 2024-02-05Bibliografiskt granskad
Ingår i avhandling
1. Towards Supporting IoT System Designers in Edge Computing Deployment Decisions
Öppna denna publikation i ny flik eller fönster >>Towards Supporting IoT System Designers in Edge Computing Deployment Decisions
2021 (Engelska)Licentiatavhandling, sammanläggning (Övrigt vetenskapligt)
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.

Ort, förlag, år, upplaga, sidor
Malmö: Malmö universitet, 2021. s. 141
Serie
Studies in Computer Science ; 13
Nyckelord
Internet of Things, Edge computing, Decision Support, Quality Attrib-utes, Metrics, Simulation
Nationell ämneskategori
Kommunikationssystem Annan elektroteknik och elektronik Datorsystem
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)
Handledare
Anmärkning

Note: The papers are not included in the fulltext online

Tillgänglig från: 2020-12-03 Skapad: 2020-12-02 Senast uppdaterad: 2024-03-07Bibliografiskt granskad

Open Access i DiVA

fulltext(1455 kB)1017 nedladdningar
Filinformation
Filnamn FULLTEXT01.pdfFilstorlek 1455 kBChecksumma SHA-512
06c62962d6448e9843e7ed2e99e9382062d99c4ee6dcbd942bb2d7ee92efb9d35ceb945ccd9e6de32414f78072797126dea10913db401b05f4b5cd5161a1b773
Typ fulltextMimetyp application/pdf

Övriga länkar

Förlagets fulltextScopus

Person

Ashouri, MajidDavidsson, PaulSpalazzese, Romina

Sök vidare i DiVA

Av författaren/redaktören
Ashouri, MajidDavidsson, PaulSpalazzese, Romina
Av organisationen
Institutionen för datavetenskap och medieteknik (DVMT)Internet of Things and People (IOTAP)
I samma tidskrift
Internet of Things: Engineering Cyber Physical Human Systems
DatorsystemKommunikationssystemInbäddad systemteknik

Sök vidare utanför DiVA

GoogleGoogle Scholar
Totalt: 1017 nedladdningar
Antalet nedladdningar är summan av nedladdningar för alla fulltexter. Det kan inkludera t.ex tidigare versioner som nu inte längre är tillgängliga.

doi
urn-nbn

Altmetricpoäng

doi
urn-nbn
Totalt: 254 träffar
RefereraExporteraLänk till posten
Permanent länk

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