Extending IoT/M2M system scalability by network slicing

David De La Bastida, Fuchun Lin

研究成果: Conference contribution同行評審

2 引文 斯高帕斯(Scopus)

摘要

In this research, we have extended our initial effort in cloud-based IoT/M2M system scalability and developed a more robust solution by considering diverse QoS requirements from various IoT/M2M traffic patterns. Though our initial effort created a highly scalable architecture for IoT/M2M platforms based on OpenStack, it treated all IoT/M2M traffic without any discrepancy in the same underlying network (i.e. in the same network slice). Now, by leveraging software-defined networking in OpenStack and by using our traffic-slice optimal matching algorithm, we can direct different types of IoT traffic to feasible network slices in terms of QoS. Our experiments show that when compared with a system without network slicing, our scalability system performs better in terms of response time, power consumption, and computational cost.

原文English
主出版物標題IEEE/IFIP Network Operations and Management Symposium
主出版物子標題Cognitive Management in a Cyber World, NOMS 2018
發行者Institute of Electrical and Electronics Engineers Inc.
頁面1-8
頁數8
ISBN(電子)9781538634165
DOIs
出版狀態Published - 6 7月 2018
事件2018 IEEE/IFIP Network Operations and Management Symposium, NOMS 2018 - Taipei, 台灣
持續時間: 23 4月 201827 4月 2018

出版系列

名字IEEE/IFIP Network Operations and Management Symposium: Cognitive Management in a Cyber World, NOMS 2018

Conference

Conference2018 IEEE/IFIP Network Operations and Management Symposium, NOMS 2018
國家/地區台灣
城市Taipei
期間23/04/1827/04/18

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