Detail publikačního výsledku

Edge to cloud tools: A Multivocal Literature Review

MORESCHINI, S.; YOUNESIAN, E.; HÄSTBACKA, D.; ALBANO, M.; HOŠEK, J.; TAIBI, D.

Originální název

Edge to cloud tools: A Multivocal Literature Review

Anglický název

Edge to cloud tools: A Multivocal Literature Review

Druh

Článek WoS

Originální abstrakt

Edge-to-cloud computing is an emerging paradigm for distributing computational tasks between edge devices and cloud resources. Different approaches for orchestration, offloading, and many more purposes have been introduced in research. However, it is still not clear what has been implemented in the industry. This work aims to merge this gap by mapping the existing knowledge on edge-to-cloud tools by providing an overview of the current state of research in this area and identifying research gaps and challenges. For this purpose, we conducted a Multivocal Literature Review (MLR) by analyzing 40 tools from 1073 primary studies (220 PS from the white literature and 853 PS from the grey literature). We categorized the tools based on their characteristics and targeted environments. Overall, this systematic mapping study provides a comprehensive overview of edge-to-cloud tools and highlights several opportunities for researchers and practitioners for future research in this area.Multivocal Literature ReviewSystematic mapping studiesEdgeCloudEdge-to-cloud-tools

Anglický abstrakt

Edge-to-cloud computing is an emerging paradigm for distributing computational tasks between edge devices and cloud resources. Different approaches for orchestration, offloading, and many more purposes have been introduced in research. However, it is still not clear what has been implemented in the industry. This work aims to merge this gap by mapping the existing knowledge on edge-to-cloud tools by providing an overview of the current state of research in this area and identifying research gaps and challenges. For this purpose, we conducted a Multivocal Literature Review (MLR) by analyzing 40 tools from 1073 primary studies (220 PS from the white literature and 853 PS from the grey literature). We categorized the tools based on their characteristics and targeted environments. Overall, this systematic mapping study provides a comprehensive overview of edge-to-cloud tools and highlights several opportunities for researchers and practitioners for future research in this area.Multivocal Literature ReviewSystematic mapping studiesEdgeCloudEdge-to-cloud-tools

Klíčová slova

Multivocal Literature Review; Systematic mapping studies; Edge; Cloud; Edge-to-cloud-tools

Klíčová slova v angličtině

Multivocal Literature Review; Systematic mapping studies; Edge; Cloud; Edge-to-cloud-tools

Autoři

MORESCHINI, S.; YOUNESIAN, E.; HÄSTBACKA, D.; ALBANO, M.; HOŠEK, J.; TAIBI, D.

Rok RIV

2024

Vydáno

20.12.2023

Nakladatel

Elsevier

ISSN

0164-1212

Periodikum

JOURNAL OF SYSTEMS AND SOFTWARE

Svazek

210

Číslo

April

Stát

Spojené státy americké

Strany od

1

Strany do

28

Strany počet

28

URL

Plný text v Digitální knihovně

BibTex

@article{BUT186863,
  author="Sergio {Moreschini} and Elham {Younesian} and David {Hästbacka} and Michele {Albano} and Jiří {Hošek} and Davide {Taibi}",
  title="Edge to cloud tools: A Multivocal Literature Review",
  journal="JOURNAL OF SYSTEMS AND SOFTWARE",
  year="2023",
  volume="210",
  number="April",
  pages="1--28",
  doi="10.1016/j.jss.2023.111942",
  issn="0164-1212",
  url="https://pdf.sciencedirectassets.com/271629/AIP/1-s2.0-S0164121223003370/main.pdf?X-Amz-Security-Token=IQoJb3JpZ2luX2VjEMX%2F%2F%2F%2F%2F%2F%2F%2F%2F%2FwEaCXVzLWVhc3QtMSJHMEUCIQC%2Fl4KRhNKZZpzFfcRBGIT95K4z2zALgLYGtY9Xles0rwIgfb3nHOSj2bs%2BGtP3TVv0jOUAiW6eYLYJcSpn%2B8w6PZQqswUIXhAFGgwwNTkwMDM1NDY4NjUiDGKj8yopvsvGK%2F%2FLzSqQBZZ3QWxm3k2VteuEOnZ%2FFa%2BH%2Byog%2BQf4F9NqqIOwq4g7znXDEpRDd7R01N7jwjki2IBBwNOv1cBXTBcPYkwhRlFdOCbeg0a8t%2BoFtxXEmU6B6ycaLAggAloVc9v%2BRsRHJ%2Fzc1CSLtEZ%2BxpOWmmXM1G3Iu311LEC8LcEfg0IFOJ%2"
}

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