Enabling IoT/M2M System Scalability with Fog Computing

Yuan Han Lee, Fuchun Lin*

*此作品的通信作者

研究成果: Conference contribution同行評審

3 引文 斯高帕斯(Scopus)

摘要

As increasingly more IoT/M2M devices are connected to Internet, they will cause serious congestion to IoT/M2M systems normally deployed in the cloud. Although Cloud can scale out to support more data requests, it may not be able to satisfy the low latency demanded by certain IoT/M2M applications. Fog, as an edge of Cloud, can alleviate the congested problem in the cloud and provide low latency for critical IoT/M2M applications due to its proximity to IoT/M2M devices. In this research, we propose (1) utilizing oneM2M, a global IoT/M2M standard, as the middleware to connect the cloud and the fog, (2) using Traffic Classifiers to intercept and divert IoT/M2M traffic requiring low latency to Fog and (3) deploying independent scalability mechanisms for Cloud and Fog. We demonstrate and verify our scalability design using a smart hospital use case and show that our proposed system can achieve better scalability results in terms of latency, CPU usage and power consumption compared to those with only Fog or Cloud.

原文English
主出版物標題IoT as a Service - 5th EAI International Conference, IoTaaS 2019, Proceedings
編輯Bo Li, Mao Yang, Zhongjiang Yan, Jie Zheng, Yong Fang
發行者Springer
頁面489-502
頁數14
ISBN(列印)9783030447502
DOIs
出版狀態Published - 4月 2020
事件5th EAI International Conference on IoT as a Service, IoTaaS 2019 - Xi'an, 中國
持續時間: 16 11月 201917 11月 2019

出版系列

名字Lecture Notes of the Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering, LNICST
316 LNICST
ISSN(列印)1867-8211

Conference

Conference5th EAI International Conference on IoT as a Service, IoTaaS 2019
國家/地區中國
城市Xi'an
期間16/11/1917/11/19

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