Abstract
With the emergence of IoT applications Cloud architecture proves to be inefficient in handling massive amounts of data, mainly because of the variable latency and limited bandwidth. More specific, major requirements of Industrial Internet of Things (IIoT) like control and real-time decision making could not be addressed. These limitations along with the increasing intelligence in the lower levels of the data transmission architecture led to the development of an intermediate edge processing layer, closer to the process, enabling distributed computing and near real-time communication. In this paper a new perspective on edge architectures is presented and a model for a new edge gateway is designed. This device aims to facilitate new distributed computing methods while being able to handle both operational and functional requirements. Three case studies analyse how this device can be used to improve existing solutions: a hydroponic greenhouse, Smart Grid implementation for power systems and a video surveillance system in a manufacturing application.
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Acknowledgment
This work was partially supported by the Romanian Ministry of Education and Research under grant 78PCCDI/2018-CIDSACTEH.
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Crăciunescu, M., Chenaru, O., Dobrescu, R., Florea, G., Mocanu, Ş. (2020). IIoT Gateway for Edge Computing Applications. In: Borangiu, T., Trentesaux, D., Leitão, P., Giret Boggino, A., Botti, V. (eds) Service Oriented, Holonic and Multi-agent Manufacturing Systems for Industry of the Future. SOHOMA 2019. Studies in Computational Intelligence, vol 853. Springer, Cham. https://doi.org/10.1007/978-3-030-27477-1_17
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