Taxonomy and resource modeling in combined fog-to-cloud systems

Abstract

As the technology is rapidly evolving, the society as a whole is gradually surrounding by the Internet. In such a high connectivity scenario, the recently coined IoT concept becomes a commodity driving data generation rate to increase swiftly. To process and manage these data in an efficient way, a new strategy, referred to as Fog-to-Clod (F2C), has been recently proposed leveraging two existing technologies, fog computing and cloud computing, where resources are playing a pivotal role to manage data efficiently. In these scenarios, vast numbers of interconnected heterogeneous devices coexist, thus crafting a complex set of devices. Managing efficiently these devices requires a proper resources classification and organization. In this paper, we offer a model to classify and taxonomies the whole set of resources aimed to best suit the Fog-to-Cloud (F2C) paradigm.