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Soon after realizing that Cloud Computing could indeed help several industries overcome classical product-centric approaches in favor of more affordable service-oriented business models, we are witnessing the rise of a new disruptive computing paradigm, namely Fog Computing. Essentially, Fog Computing can be considered as an evolution of Cloud Computing, in the sense that the former extends the latter to the edge of the network (that is, where the connected devices –the things– are) without discontinuity, realizing the so-called “cloud-tothing continuum”. Since its infancy, Fog Computing has been considered as a necessity within several Internet of Things (IoT) domains (one for all: Industrial IoT) and, more generally, wherever embedded artificial intelligence and/or more advanced distributed capabilities were required. Fog Computing cannot be considered only a fancy buzzword: according to separate, authoritative analyses its global market will reach $18 billion by 2022, while nearly 45% of the world’s data will be moved to the network edge by 2025. In this paper, we take stock of the situation, summarizing the most modern and mature Fog Computing initiatives from standardization, commercial, and open-source communities perspectives.
A Comparative Research on Open Source Edge Computing Systems
Liang, Jiayue & Liu, Fang & Li, Shen & Cai, Zhenhua
July 2019
With the development of edge computing, open source communities have put forward several edge computing systems. This paper discussed about edge computing and its current situation, then presented typical open source edge computing systems such as EdgeX Foundry, Azure IoT Edge, CORD, Apache Edgent and Akraino Edge Stack, and gave a comparison about them on their characteristics. A comparison study on their characteristics were given to help users to understand these open source edge computing systems and make choices.