Supporting Edge Intelligence in Service-Oriented Smart IoT Applications
| Autor: | Kwei-Jay Lin, Chi-Sheng Shih, Zhenqiu Huang |
|---|---|
| Rok vydání: | 2016 |
| Předmět: |
Edge device
Computer science business.industry Distributed computing Cloud computing 02 engineering and technology 010501 environmental sciences computer.software_genre 01 natural sciences Pipeline (software) Server Middleware Middleware (distributed applications) 0202 electrical engineering electronic engineering information engineering 020201 artificial intelligence & image processing Enhanced Data Rates for GSM Evolution business computer Edge computing 0105 earth and related environmental sciences |
| Zdroj: | CIT |
| DOI: | 10.1109/cit.2016.40 |
| Popis: | This paper presents the edge intelligence supportfor smart IoT using the service-oriented architecture. InIoT, there are many sensors deployed for different purposes. Sensors of different modalities must be integrated and theircharacteristics analyzed to enhance the system intelligence. Inthis paper, we present the edge computing framework in the WuKong-based IoT architecture. WuKong is an IoT middlewarethat supports dynamic compositions and deployments of user-defined IoT applications. The edge framework pushes thestreaming processing capability from cloud to edge devices, inorder to better support timely and reliable streaming analyticsto enhance the performance of smart IoT applications. Wehave designed annotation based programming primitives fordevelopers to add their own online learning capabilities onedge servers. Using an extendable pipeline design, intelligentcomponents on edge may be used to build smart services inIoT applications. |
| Databáze: | OpenAIRE |
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