| Judul | Edge Computing for Internet of Things / Kevin Lee; Ka Lok Man |
| Pengarang | Lee, Kevin Man, Ka Lok |
| Penerbitan | Basel : MDPI - Multidisciplinary Digital Publishing Institute, 2022 |
| Deskripsi Fisik | 186 p. :ill. |
| ISBN | 9783036542768, 9783036542751 |
| Subjek | ENERGY INDUSTRIES AND UTILITIES HISTORY OF ENGINEERING AND TECHNOLOGY |
| Catatan | 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 re |
| Bentuk Karya | Tidak ada kode yang sesuai |
| Target Pembaca | Tidak ada kode yang sesuai |
| Lokasi Akses Online |
https://directory.doabooks.org/handle/20.500.12854/84496 https://oer.unair.ac.id/files/original/5cefd38d6ec1e2e47df8af7e4ce646ae.pdf |
| No Barcode | No. Panggil | Akses | Lokasi | Ketersediaan |
|---|---|---|---|---|
| 301525192 | 620 Edg | Baca Online | Perpustakaan Pusat - Online Resources Ebook |
Tersedia |
| Tag | Ind1 | Ind2 | Isi |
| 001 | INLIS000000000159668 | ||
| 005 | 20250324085548 | ||
| 007 | ta | ||
| 008 | 250324################|##########|#|## | ||
| 020 | # | # | $a 9783036542768, 9783036542751 |
| 035 | # | # | $a 0010-0325001287 |
| 082 | # | # | $a 620 |
| 084 | # | # | $a 620 Edg |
| 245 | # | # | $a Edge Computing for Internet of Things /$c Kevin Lee; Ka Lok Man |
| 260 | # | # | $a Basel :$b MDPI - Multidisciplinary Digital Publishing Institute,$c 2022 |
| 300 | # | # | $a 186 p. : $b ill. |
| 505 | # | # | $a 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. |
| 650 | # | # | $a ENERGY INDUSTRIES AND UTILITIES |
| 650 | # | # | $a HISTORY OF ENGINEERING AND TECHNOLOGY |
| 700 | 1 | # | $a Lee, Kevin |
| 700 | 1 | # | $a Man, Ka Lok |
| 856 | # | # | $a https://directory.doabooks.org/handle/20.500.12854/84496 |
| 856 | # | # | $a https://oer.unair.ac.id/files/original/5cefd38d6ec1e2e47df8af7e4ce646ae.pdf |
| 990 | # | # | $a 301525192 |
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