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 gray 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.

翻译：边缘到云计算是一种新兴的计算范式，用于在边缘设备和云资源之间分配计算任务。研究中已引入了多种用于编排、卸载及其他目的的方法。然而，业界实际实现了哪些工具仍不明确。本研究旨在通过绘制边缘到云工具的现有知识图谱，提供该领域研究现状的概述，并识别研究空白与挑战，从而弥合这一差距。为此，我们开展了多声部文献综述（MLR），分析了来自1073项主要研究的40种工具（其中220项来自白色文献，853项来自灰色文献）。我们根据工具特性及目标环境对其进行了分类。总体而言，这项系统映射研究提供了边缘到云工具的全面概述，并为研究人员及实践者指出了该领域未来的若干研究方向与机会。