Edge Computing for Internet of Things
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 ener...
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| Year of Publication: | 2022 |
| Language: | English |
| Physical Description: | 1 electronic resource (186 p.) |
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(CKB)5720000000008380 (oapen)https://directory.doabooks.org/handle/20.500.12854/84496 (EXLCZ)995720000000008380 |
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Lee, Kevin edt Edge Computing for Internet of Things Basel MDPI - Multidisciplinary Digital Publishing Institute 2022 1 electronic resource (186 p.) text txt rdacontent computer c rdamedia online resource cr rdacarrier 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. English Technology: general issues bicssc History of engineering & technology bicssc Energy industries & utilities bicssc 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 3-0365-4276-0 3-0365-4275-2 Man, Ka Lok edt Lee, Kevin oth Man, Ka Lok oth |
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English |
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Man, Ka Lok Lee, Kevin Man, Ka Lok |
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Man, Ka Lok Lee, Kevin Man, Ka Lok |
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HerausgeberIn Sonstige Sonstige |
| title |
Edge Computing for Internet of Things |
| spellingShingle |
Edge Computing for Internet of Things |
| title_full |
Edge Computing for Internet of Things |
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Edge Computing for Internet of Things |
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Edge Computing for Internet of Things |
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Edge Computing for Internet of Things |
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Edge Computing for Internet of Things |
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edge computing for internet of things |
| publisher |
MDPI - Multidisciplinary Digital Publishing Institute |
| publishDate |
2022 |
| physical |
1 electronic resource (186 p.) |
| isbn |
3-0365-4276-0 3-0365-4275-2 |
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Not Illustrated |
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