Edge to cloud tools: A Multivocal Literature Review
dc.contributor.author | Moreschini, Sergio | cs |
dc.contributor.author | Younesian, Elham | cs |
dc.contributor.author | Hästbacka, David | cs |
dc.contributor.author | Albano, Michele | cs |
dc.contributor.author | Hošek, Jiří | cs |
dc.contributor.author | Taibi, Davide | cs |
dc.coverage.issue | April | cs |
dc.coverage.volume | 210 | cs |
dc.date.issued | 2023-12-20 | cs |
dc.description.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 | en |
dc.format | text | cs |
dc.format.extent | 1-28 | cs |
dc.format.mimetype | application/pdf | cs |
dc.identifier.citation | JOURNAL OF SYSTEMS AND SOFTWARE. 2023, vol. 210, issue April, p. 1-28. | en |
dc.identifier.doi | 10.1016/j.jss.2023.111942 | cs |
dc.identifier.issn | 0164-1212 | cs |
dc.identifier.orcid | 0000-0002-0013-4864 | cs |
dc.identifier.orcid | 0000-0002-8382-9185 | cs |
dc.identifier.other | 186863 | cs |
dc.identifier.researcherid | B-1780-2010 | cs |
dc.identifier.scopus | 37031030200 | cs |
dc.identifier.uri | http://hdl.handle.net/11012/245204 | |
dc.language.iso | en | cs |
dc.publisher | Elsevier | cs |
dc.relation.ispartof | JOURNAL OF SYSTEMS AND SOFTWARE | cs |
dc.relation.uri | 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 | cs |
dc.rights | Creative Commons Attribution 4.0 International | cs |
dc.rights.access | openAccess | cs |
dc.rights.sherpa | http://www.sherpa.ac.uk/romeo/issn/0164-1212/ | cs |
dc.rights.uri | http://creativecommons.org/licenses/by/4.0/ | cs |
dc.subject | Multivocal Literature Review | en |
dc.subject | Systematic mapping studies | en |
dc.subject | Edge | en |
dc.subject | Cloud | en |
dc.subject | Edge-to-cloud-tools | en |
dc.title | Edge to cloud tools: A Multivocal Literature Review | en |
dc.type.driver | article | en |
dc.type.status | Peer-reviewed | en |
dc.type.version | publishedVersion | en |
sync.item.dbid | VAV-186863 | en |
sync.item.dbtype | VAV | en |
sync.item.insts | 2025.02.03 15:42:37 | en |
sync.item.modts | 2025.01.17 18:32:54 | en |
thesis.grantor | Vysoké učení technické v Brně. Fakulta elektrotechniky a komunikačních technologií. Ústav telekomunikací | cs |
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