Edge computing with cloud based machine learning with iot infrastructure security issue
- Autores: P. Velmurugadass, S. Dhanasekaran, D. Gnanasekaran
- Localización: Sustainable development in engineering and technology, 2022, ISBN 978-84-124943-4-1, págs. 391-404
- Idioma: inglés
- Enlaces
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Resumen
This paper represents the exponential growth of the internet of things (IoT) andpresent cloud services have more traffic for managing the resource and deliveringthe services of end-to end. The new idea behind cloud computing is to push thecloud services to closer the edge of the networks, edge computing has able to do theconcerns service for smart clients, smart city, smart hospital, smart mobiles, smartgrid, smart factory, smart transport, smart wind, and edge computing manage networkstraffic, reducing transmission latency, low bandwidth occupation, save energyconsumption and security data transfer of IoT devices. This paper analyzes and representsthe edge cloud computing extensively survey of ongoing research for theInternet of Things (IoT). Finally, we represent several features and evaluating theavailability, integrity of the edge computing and more flexible service of IoT applicationsthen blend into the scenery cloud computing architectures.
