Edge Computing for Internet of Things
Material type: ArticleLanguage: English Publication details: Basel MDPI - Multidisciplinary Digital Publishing Institute 2022Description: 1 electronic resource (186 p.)Content type:- text
- computer
- online resource
- 9783036542768
- 9783036542751
- IoT - интернет вещей
- 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
Item type | Current library | Collection | Shelving location | Call number | Status | Notes | Date due | Barcode |
---|---|---|---|---|---|---|---|---|
Electronic edition | Bucheon University Library | Computers | MDPI books | 004 E22 | Not for loan | View (pdf) | 1010649 |
Open Access star Unrestricted online 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.
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