Edge Computing for Internet of Things
Lee, Kevin
Edge Computing for Internet of Things - Basel MDPI - Multidisciplinary Digital Publishing Institute 2022 - 1 electronic resource (186 p.)
Open Access
The Internet-of-Things is becoming an established technology, with devices being deployed in homes, workplaces, and public areas at an increasingly rapid rate. IoT devices are the core technology of smart-homes, smart-cities, intelligent transport systems, and promise to optimise travel, reduce energy usage and improve quality of life. With the IoT prevalence, the problem of how to manage the vast volumes of data, wide variety and type of data generated, and erratic generation patterns is becoming increasingly clear and challenging. This Special Issue focuses on solving this problem through the use of edge computing. Edge computing offers a solution to managing IoT data through the processing of IoT data close to the location where the data is being generated. Edge computing allows computation to be performed locally, thus reducing the volume of data that needs to be transmitted to remote data centres and Cloud storage. It also allows decisions to be made locally without having to wait for Cloud servers to respond.
Creative Commons
English
books978-3-0365-4275-1 9783036542768 9783036542751
10.3390/books978-3-0365-4275-1 doi
Technology: general issues
History of engineering & technology
Energy industries & utilities
hierarchical edge computing WSN rapid response strategy edge node fog access points cache memory convolutional neural network proactive caching fog computing Internet of Things service placement fog service orchestration spectral classification portable optical fiber spectrometers dew computing edge computing smartphone job scheduling scheduling heuristics mobile edge computing mobile edge server placement multiagent RL edge security offloading computation distributed collaboration data processing dynamic offloading IoT gateways Internet of Things (IoT) failure recovery FP-Growth algorithm association rules frequency pattern analysis computational offloading orchestration functional programming n/a
Edge Computing for Internet of Things - Basel MDPI - Multidisciplinary Digital Publishing Institute 2022 - 1 electronic resource (186 p.)
Open Access
The Internet-of-Things is becoming an established technology, with devices being deployed in homes, workplaces, and public areas at an increasingly rapid rate. IoT devices are the core technology of smart-homes, smart-cities, intelligent transport systems, and promise to optimise travel, reduce energy usage and improve quality of life. With the IoT prevalence, the problem of how to manage the vast volumes of data, wide variety and type of data generated, and erratic generation patterns is becoming increasingly clear and challenging. This Special Issue focuses on solving this problem through the use of edge computing. Edge computing offers a solution to managing IoT data through the processing of IoT data close to the location where the data is being generated. Edge computing allows computation to be performed locally, thus reducing the volume of data that needs to be transmitted to remote data centres and Cloud storage. It also allows decisions to be made locally without having to wait for Cloud servers to respond.
Creative Commons
English
books978-3-0365-4275-1 9783036542768 9783036542751
10.3390/books978-3-0365-4275-1 doi
Technology: general issues
History of engineering & technology
Energy industries & utilities
hierarchical edge computing WSN rapid response strategy edge node fog access points cache memory convolutional neural network proactive caching fog computing Internet of Things service placement fog service orchestration spectral classification portable optical fiber spectrometers dew computing edge computing smartphone job scheduling scheduling heuristics mobile edge computing mobile edge server placement multiagent RL edge security offloading computation distributed collaboration data processing dynamic offloading IoT gateways Internet of Things (IoT) failure recovery FP-Growth algorithm association rules frequency pattern analysis computational offloading orchestration functional programming n/a