2021/06/22 by Alexandra A. Kirsanova, Kirsanova, Alexandra A., Gleb Radchenko +3
Computer Science · #C.2.4 #Cloud Computing and Resource Management #Cloud Data Security Solutions #Distributed #FOS: Computer and information sciences #IoT and Edge/Fog Computing #Parallel #and Cluster Computing (cs.DC)
paper · pdf · doi:10.48550/arxiv.2106.11726
openalex publication_date 2021/06/22 · openalex created_date 2022/10/02 · openalex updated_date 2026/07/28
As the Internet of Things (IoT) becomes a part of our daily life, there is a\nrapid growth in connected devices. A well-established approach based on cloud\ncomputing technologies cannot provide the necessary quality of service in such\nan environment, particularly in terms of reducing data latency. Today, fog\ncomputing technology is seen as a novel approach for processing large amounts\nof critical and time-sensitive data. This article reviews cloud computing\ntechnology and analyzes the prerequisites for the evolution of this approach\nand the emergence of the concept of fog computing. As part of an overview of\nthe critical features of fog computing, we analyze the frequent confusion of\nthe concepts of fog and edge computing. We provide an overview of fog computing\ntechnologies: virtualization, containerization, orchestration, scalability,\nparallel computing environments, as well as a systematic analysis of the most\npopular platforms that support fog computing. As a result of the analysis, we\noffer two approaches to classification of the fog computing platforms: by the\nprinciple of openness/closure of components and a three-level classification\nbased on the provided platform functionality (Deploy-, Platform- and Ecosystem\nas a Service).\n