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...
Gardado en:
| Formato: | Online |
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| Idioma: | inglés |
| Publicado: |
MDPI - Multidisciplinary Digital Publishing Institute
2022
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| Subjects: | |
| Acceso en liña: | ONIX_20220621_9783036542768_74 |
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| _version_ | 1869515881091956736 |
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| collection | Directory of Open Access Books |
| description | 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. |
| format | Online |
| id | doab-20.500.12854ir-84496 |
| institution | Directory of Open Access Books |
| language | eng |
| publishDate | 2022 |
| publishDateRange | 2022 |
| publishDateSort | 2022 |
| publisher | MDPI - Multidisciplinary Digital Publishing Institute |
| publisherStr | MDPI - Multidisciplinary Digital Publishing Institute |
| record_format | ojs |
| spelling | doab-20.500.12854ir-844962024-04-11T15:10:40Z Edge Computing for Internet of Things Lee, Kevin Man, Ka Lok 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 thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues::TBX History of engineering and technology thema EDItEUR::K Economics, Finance, Business and Management::KN Industry and industrial studies::KNB Energy industries and utilities 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. 2022-06-21T08:38:41Z 2022-06-21T08:38:41Z 2022 book ONIX_20220621_9783036542768_74 9783036542768 9783036542751 https://directory.doabooks.org/handle/20.500.12854/84496 eng application/octet-stream Attribution 4.0 International https://mdpi.com/books/pdfview/book/5479 https://mdpi.com/books/pdfview/book/5479 MDPI - Multidisciplinary Digital Publishing Institute 10.3390/books978-3-0365-4275-1 10.3390/books978-3-0365-4275-1 46cabcaa-dd94-4bfe-87b4-55023c1b36d0 9783036542768 9783036542751 186 Basel open access |
| spellingShingle | 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 thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues::TBX History of engineering and technology thema EDItEUR::K Economics, Finance, Business and Management::KN Industry and industrial studies::KNB Energy industries and utilities Edge Computing for Internet of Things |
| title | Edge Computing for Internet of Things |
| title_full | Edge Computing for Internet of Things |
| title_fullStr | Edge Computing for Internet of Things |
| title_full_unstemmed | Edge Computing for Internet of Things |
| title_short | Edge Computing for Internet of Things |
| title_sort | edge computing for internet of things |
| topic | 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 thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues::TBX History of engineering and technology thema EDItEUR::K Economics, Finance, Business and Management::KN Industry and industrial studies::KNB Energy industries and utilities |
| topic_facet | 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 thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues::TBX History of engineering and technology thema EDItEUR::K Economics, Finance, Business and Management::KN Industry and industrial studies::KNB Energy industries and utilities |
| url | ONIX_20220621_9783036542768_74 |