Edge to cloud tools: A Multivocal Literature Review

dc.contributor.authorMoreschini, Sergiocs
dc.contributor.authorYounesian, Elhamcs
dc.contributor.authorHästbacka, Davidcs
dc.contributor.authorAlbano, Michelecs
dc.contributor.authorHošek, Jiřícs
dc.contributor.authorTaibi, Davidecs
dc.coverage.issueAprilcs
dc.coverage.volume210cs
dc.date.issued2023-12-20cs
dc.description.abstractEdge-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-toolsen
dc.description.abstractEdge-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-toolsen
dc.formattextcs
dc.format.extent1-28cs
dc.format.mimetypeapplication/pdfcs
dc.identifier.citationJOURNAL OF SYSTEMS AND SOFTWARE. 2023, vol. 210, issue April, p. 1-28.en
dc.identifier.doi10.1016/j.jss.2023.111942cs
dc.identifier.issn0164-1212cs
dc.identifier.orcid0000-0002-0013-4864cs
dc.identifier.orcid0000-0002-8382-9185cs
dc.identifier.other186863cs
dc.identifier.researcheridB-1780-2010cs
dc.identifier.scopus37031030200cs
dc.identifier.urihttp://hdl.handle.net/11012/245204
dc.language.isoencs
dc.publisherElseviercs
dc.relation.ispartofJOURNAL OF SYSTEMS AND SOFTWAREcs
dc.relation.urihttps://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%2cs
dc.rightsCreative Commons Attribution 4.0 Internationalcs
dc.rights.accessopenAccesscs
dc.rights.sherpahttp://www.sherpa.ac.uk/romeo/issn/0164-1212/cs
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/cs
dc.subjectMultivocal Literature Reviewen
dc.subjectSystematic mapping studiesen
dc.subjectEdgeen
dc.subjectClouden
dc.subjectEdge-to-cloud-toolsen
dc.subjectMultivocal Literature Review
dc.subjectSystematic mapping studies
dc.subjectEdge
dc.subjectCloud
dc.subjectEdge-to-cloud-tools
dc.titleEdge to cloud tools: A Multivocal Literature Reviewen
dc.title.alternativeEdge to cloud tools: A Multivocal Literature Reviewen
dc.type.driverarticleen
dc.type.statusPeer-revieweden
dc.type.versionpublishedVersionen
sync.item.dbidVAV-186863en
sync.item.dbtypeVAVen
sync.item.insts2025.10.14 14:12:40en
sync.item.modts2025.10.14 10:11:30en
thesis.grantorVysoké učení technické v Brně. Fakulta elektrotechniky a komunikačních technologií. Ústav telekomunikacícs

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