Version 1
: Received: 23 January 2022 / Approved: 24 January 2022 / Online: 24 January 2022 (10:30:54 CET)
How to cite:
Hassan, M.; Chen, J.; Khan, T.; Zukaib, U.; Mallah, S. A. Future of Edge Computing for Real Time Devices in Internet of Things. Preprints2022, 2022010341. https://doi.org/10.20944/preprints202201.0341.v1
Hassan, M.; Chen, J.; Khan, T.; Zukaib, U.; Mallah, S. A. Future of Edge Computing for Real Time Devices in Internet of Things. Preprints 2022, 2022010341. https://doi.org/10.20944/preprints202201.0341.v1
Hassan, M.; Chen, J.; Khan, T.; Zukaib, U.; Mallah, S. A. Future of Edge Computing for Real Time Devices in Internet of Things. Preprints2022, 2022010341. https://doi.org/10.20944/preprints202201.0341.v1
APA Style
Hassan, M., Chen, J., Khan, T., Zukaib, U., & Mallah, S. A. (2022). Future of Edge Computing for Real Time Devices in Internet of Things. Preprints. https://doi.org/10.20944/preprints202201.0341.v1
Chicago/Turabian Style
Hassan, M., Umer Zukaib and Shoaib Ali Mallah. 2022 "Future of Edge Computing for Real Time Devices in Internet of Things" Preprints. https://doi.org/10.20944/preprints202201.0341.v1
Abstract
Rapid growth of IoT applications and their interference in our daily lives led to many different IoT devices which generates enormous data. The IoT devices’ resources are very limited, so storing and processing IoT data in the devices is very inefficient. Several resources of cloud-computing are efficiently used to handle some IoT resources issues. While using resources in the cloud centers cause some other issues, like latency in the IoT applications, which are time-critical. Thus, the technology of edge cloud has evolved recently. This technology permits storage and data processing at the network edge. This paper studies edge computing in-depth for timeless sensitive devices in IoT. In-depth, cutting-edge IoT computing systems (ECAs-IoT) are evaluated and characterized in this paper according to numerous criteria, such as information placement, improvisation facilities, reliability, and data visualization. Moreover, according to distinctive properties, the paper aims at comparing each structure in detail. The paper also highlights the significant limitations of the new ECAs-IoT and recommends solutions to them. The studies also introduce and propose solutions to some of the most important restrictions of the current ECAs-IoT. Consequently, in the edge computing domain, this survey outlines the IoT implementations. Lastly, with the use of IoT implementations for ECAs-IoT, the paper suggests four distinct scenarios.
Keywords
Internet of Things; Sensors; Real-Time; Edge Computing
Subject
Engineering, Control and Systems Engineering
Copyright:
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
