Edge to cloud tools: A Multivocal Literature Review
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Date
2023-12-20
Authors
Moreschini, Sergio
Younesian, Elham
Hästbacka, David
Albano, Michele
Hošek, Jiří
Taibi, Davide
0000-0002-0013-4864Advisor
Referee
Mark
Journal Title
Journal ISSN
Volume Title
Publisher
Elsevier
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Abstract
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
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Citation
JOURNAL OF SYSTEMS AND SOFTWARE. 2023, vol. 210, issue April, p. 1-28.
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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
Document type
Peer-reviewed
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Published version
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Language of document
en