Edge to cloud tools: A Multivocal Literature Review

Sergio Moreschini, Elham Younesian, David Hästbacka, Michele Albano, Jiří Hošek, Davide Taibi

Research output: Contribution to journalReview Articlepeer-review

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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. Editor's note: Open Science material was validated by the Journal of Systems and Software Open Science Board.

Original languageEnglish
Article number111942
JournalJournal of Systems and Software
Volume210
Early online date27 Dec 2023
DOIs
Publication statusPublished - Apr 2024
Publication typeA2 Review article in a scientific journal

Keywords

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

Publication forum classification

  • Publication forum level 3

ASJC Scopus subject areas

  • Software
  • Information Systems
  • Hardware and Architecture

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