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Detail
Journal Article
서비스형 엣지 머신러닝 기술 동향
- Issue Date
- 2022-10
- Citation
- 전자통신동향분석, v.37, no.5, pp.44-53
- ISSN
- 1225-6455
- Publisher
- 한국전자통신연구원
- Language
- Korean
- Type
- Journal Article
- Abstract
- The Internet of Things (IoT) is growing exponentially, with the number of IoT devices multiplying annually. Accordingly, the paradigm is changing from cloud computing to edge computing and even tiny edge computing because of the low latency and cost reduction. Machine learning is also shifting its role from the cloud to edge or tiny edge according to the paradigm shift. However, the fragmented and resource-constrained features of IoT devices have limited the development of artificial intelligence applications. Edge MLaaS (Machine Learning as-a-Service) has been studied to easily and quickly adopt machine learning to products and overcome the device limitations. This paper briefly summarizes what Edge MLaaS is and what element of research it requires.
- KSP Keywords
- Cloud Computing, Internet of thing(IoT), IoT Devices, Low latency, Paradigm Shift, Resource-constrained, artificial intelligence applications, as-a-Service, cost reduction, edge computing, machine Learning
This work is distributed under the term of Korea Open Government License (KOGL)
(Type 4: : Type 1 + Commercial Use Prohibition+Change Prohibition)
(Type 4: : Type 1 + Commercial Use Prohibition+Change Prohibition)
