Resource Taxonomy for a Fog System

• Main Authors: Lisbeth Olinda Lopez Verdecie, Kirill Krinkin
• Format: Article
• Language: English
• Published: FRUCT 2021-05-01
• Series: Proceedings of the XXth Conference of Open Innovations Association FRUCT
• Subjects: fog computing; taxonomy; resources; ontology
• Online Access: https://www.fruct.org/publications/acm29/files/Lop.pdf

Fog computing has emerged as a novel technology for solving the latency, network traffic management, and power consumption issues faced by Internet of Things ecosystems. It is a complementary computing paradigm to cloud computing, enabling data processing and storage at the edge of the network, closer to the end devices. The resources involved in a fog ecosystem are very heterogeneous and can be described by different standards and models. This heterogeneity is not suitable for collaborative environments such as the fog system, where a common understanding of resources is required when provisioning applications. In this paper, we propose a semantic approach to address this issue of heterogeneity. We design a taxonomy whose purpose is to unify the representation of resources in a fog system. We consider this work as the first step towards the construction of an ontology that supports the strong variety of the involved nodes of the cloud, the fog and the IoT, which would contribute to the homogenization and simplification of the way in which IoT applications are provisioned over these nodes.