Edge to Cloud Tools: A Multivocal Literature Review Sergio Moreschini, 1* , Elham Younesian, 1,2* David H¨ astbacka, 1 Michele Albano, 3 Jiˇ r´ ı Hoˇ sek, 2 Davide Taibi 1,4 1 Tampere University, Tampere (Finland) — 2 Brno University of Technology, Brno (Czech Republic) 3 Aalborg University, Aalborg (Denmark) — 4 University of Oulu, Oulu (Finland) sergio.moreschini@tuni.fi, elham.younesian@vut.cz, david.hastbacka@tuni.fi, mialb@cs.aau.dk, hosek@feec.vutbr.cz ,davide.taibi@oulu.fi * the two authors equally contributed to the paper Abstract Edge-to-cloud computing is an emerging paradigm for distributing com- putational tasks between edge devices and cloud resources. Different ap- proaches for orchestration, offloading, and many more purposes have been introduced in research. However, it is still not clear what has been im- plemented 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 Re- view (MLR) by analyzing 40 tools from 1073 primary studies (220 PS from the white literature and 853 PS from the gray literature). We categorized the tools based on their characteristics and targeted environments. Over- all, 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. Keywords: Multivocal literature review, Systematic Mapping Studies, Edge, Cloud, Edge-to-cloud-tools. 1. Introduction Edge computing is an emerging computing paradigm where data process- ing and storage are performed closer to the source rather than on centralized servers in the cloud. This is achieved by placing computing resources at the Preprint submitted to Journal of Systems and Software May 30, 2023 arXiv:2305.17464v1 [cs.SE] 27 May 2023