Towards Dynamically Reconfigurable IoT Camera Virtualization for Video Analytics Edge Cloud Services
| Autor: | Byoungheon Shin, Yoonhyung Lee, Dongman Lee, Si Young Jang |
|---|---|
| Rok vydání: | 2019 |
| Předmět: |
Edge device
Computer Networks and Communications business.industry Computer science Real-time computing ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION Control reconfiguration 020206 networking & telecommunications Cloud computing Context (language use) 02 engineering and technology Virtualization computer.software_genre Analytics 0202 electrical engineering electronic engineering information engineering Enhanced Data Rates for GSM Evolution business computer Edge computing |
| Zdroj: | IEEE Internet Computing. 23:10-17 |
| ISSN: | 1941-0131 1089-7801 |
| DOI: | 10.1109/mic.2019.2893872 |
| Popis: | Video analytics edge computing exploiting IoT cameras has gained high attention. Running such tasks on the network edge is very challenging since video and image processing are bandwidth-hungry and computationally intensive. IoT cameras are heavily dependent on environmental factors such as the brightness of the view. In this paper, we propose an edge IoT camera virtualization architecture that enables an IoT camera to accommodate multiple application operation semantics and dynamically adjust its configuration to preserve them in the presence of environment context changes. For this, we develop an ontology-based application description model, a virtualization architecture with the container technology, and a context-aware dynamic reconfiguration scheme. |
| Databáze: | OpenAIRE |
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