COMEC: Computation Offloading for Video-Based Heart Rate Detection APP in Mobile Edge Computing
| Autor: | Ruimiao Ding, Xuejun Li, Jia Xu, Wenqiang Yan, Han Gao, Xiao Liu, Xi Zheng |
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| Rok vydání: | 2018 |
| Předmět: |
020203 distributed computing
Mobile edge computing business.industry Computer science Interface (computing) Process (computing) Cloud computing 02 engineering and technology 020204 information systems 0202 electrical engineering electronic engineering information engineering Computation offloading business Video based Computer network |
| Zdroj: | ISPA/IUCC/BDCloud/SocialCom/SustainCom |
| DOI: | 10.1109/bdcloud.2018.00152 |
| Popis: | Medical data is invaluable in medical diagnosis. With the recent advance in Internet of Things (IoT) and non-invasive sensing, massive medical data can be gathered in real-time but how to process them efficiently becomes a big challenge for e-Health applications. In this demo paper, we investigate the idea of employing Mobile Edge Computing (MEC) which can provide computing resources close to the end devices with a variety of computation offloading models to facilitate real-time medical data processing. To evaluate this idea and find out which computation offloading model can achieve the best performance, we implement COMEC where a video-based heart rate detection APP is running in a MEC environment based on Open Air Interface (OAI). Experimental results have shown that the best performance is achieved under multi-layer offloading model where both the edge server and the cloud server are employed. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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