TY - JOUR
T1 - Edge to Cloud Tools: A Multivocal Literature Review
AU - Moreschini, Sergio
AU - Younesian, Elham
AU - Hastbacka, David
AU - Albano, Michele
AU - Hošek, Jiří
AU - Taibi, Davide
PY - 2024/4
Y1 - 2024/4
N2 - 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. Editor's note: Open Science material was validated by the Journal of Systems and Software Open Science Board.
AB - 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. Editor's note: Open Science material was validated by the Journal of Systems and Software Open Science Board.
KW - Cloud
KW - Edge
KW - Edge-to-cloud-tools
KW - Multivocal Literature Review
KW - Systematic mapping studies
UR - http://www.scopus.com/inward/record.url?scp=85182261979&partnerID=8YFLogxK
U2 - 10.1016/j.jss.2023.111942
DO - 10.1016/j.jss.2023.111942
M3 - Review article
SN - 0164-1212
VL - 210
JO - Journal of Systems and Software
JF - Journal of Systems and Software
M1 - 111942
ER -