Fog computing and Internet of Things in one building block: a survey and an overview of interacting technologies

Autor: Ghofrane Fersi
Rok vydání: 2021
Předmět:
Zdroj: Cluster Computing. 24:2757-2787
ISSN: 1573-7543
1386-7857
DOI: 10.1007/s10586-021-03286-4
Popis: The rapid proliferation and progress of Wireless Sensor Networks (WSN) and Internet of Things (IoT) has conducted to the formation of a gigantic amount of data and a growing need to multiple new services and resources. In spite of the main role of Cloud computing in solving these issues, IoT applications need more reduced latency with mobility support and location awareness. To overcome the mentioned limits, a new concept favouring the integration of Fog computing onto IoT is increasingly utilized. It is a motivating scheme that offers a timely task execution and data management at the network edge, in a distributed way, with the collaboration of nearby nodes. In this paper, we provide a complete study of the integration of Fog onto IoT. We discuss the various challenges that are facing the Fog/IoT paradigm and specify the main contributions that have been proposed to overcome these challenges. We give also an insight on the relationship between IoT/Fog integration concept, and other leading technologies. The open issues that need more investigation are highlighted in this paper to identify clearly the research gaps in the area of Fog computing integration onto IoT.
Databáze: OpenAIRE