Edge Computing Towards Smart Applications: A Survey

Abstract

Background: The increasing demand for the use of Internet of Things (IoT) devices has been accompanied by an increase in the amount of data generated by them that needs to be transferred, processed and stored. Transferring the data of these devices to cloud computing leads to the occurrence of bottlenecks in the data networks, and therefore, an increase in the delay occurs. Edge computing is used to reduce delay by executing the computing process close to the data source, and it is providing an important security advantages by reduces the amount of data actually at risk in a single moment. Furthermore, providing an affordable and scalable avenue, this edge scalability plays into its versatility with provide unparalleled reliability. Objective: To highlight the challenges of moving processing and data storage from the cloud to the edge. Methods: In this paper, a survey was presented about edge computing from the perspective of requirements and applications, mentioning the most important contributions made by researchers in this field. Conclusion: Some of the requirements of edge computing work need a more research orientation, especially the requirement of confidentiality, and the application of health care also requires a research focus in order to obtain optimal results from it, especially with the emergence of the Covid-19 virus.