OpenStack-based highly scalable IoT/M2M platforms

David De La Bastida, Fuchun Lin

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Scopus citations

Abstract

The IoT/M2M platforms are emerging to provide a common service layer for various types of new IoT applications. It is foreseen billions of IoT/M2M devices will soon be connected to those IoT/M2M platforms hosted in the cloud. In this research we propose a highly scalable OpenStack-based architecture for IoT/M2M platforms. Our unique contribution consists of leveraging the advanced functionalities of OpenStack to introduce a master node specifically designed for IoT/M2M scalability in the cloud and a load balancing queue node cooperating with the master node for fair distribution of incoming traffic among platform nodes. Using four different types of IoT/M2M applications: smart meter, Bluetooth tags, eHealth, and video, we show that compared to LBAAS and Heat that are OpenStack native load balancing and scalability functions, in most cases our proposed system is capable of achieving the fastest response time and the lowest computational cost with acceptable tradeoff of more energy consumption.

Original languageEnglish
Title of host publicationProceedings - 2017 IEEE International Conference on Internet of Things, IEEE Green Computing and Communications, IEEE Cyber, Physical and Social Computing, IEEE Smart Data, iThings-GreenCom-CPSCom-SmartData 2017
EditorsGeyong Min, Xiaolong Jin, Laurence T. Yang, Yulei Wu, Nektarios Georgalas, Ahmed Al-Dubi
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages711-718
Number of pages8
ISBN (Electronic)9781538630655
DOIs
StatePublished - 30 Jan 2018
EventJoint 10th IEEE International Conference on Internet of Things, iThings 2017, 13th IEEE International Conference on Green Computing and Communications, GreenCom 2017, 10th IEEE International Conference on Cyber, Physical and Social Computing, CPSCom 2017 and the 3rd IEEE International Conference on Smart Data, Smart Data 2017 - Exeter, United Kingdom
Duration: 21 Jun 201723 Jun 2017

Publication series

NameProceedings - 2017 IEEE International Conference on Internet of Things, IEEE Green Computing and Communications, IEEE Cyber, Physical and Social Computing, IEEE Smart Data, iThings-GreenCom-CPSCom-SmartData 2017
Volume2018-January

Conference

ConferenceJoint 10th IEEE International Conference on Internet of Things, iThings 2017, 13th IEEE International Conference on Green Computing and Communications, GreenCom 2017, 10th IEEE International Conference on Cyber, Physical and Social Computing, CPSCom 2017 and the 3rd IEEE International Conference on Smart Data, Smart Data 2017
CountryUnited Kingdom
CityExeter
Period21/06/1723/06/17

Keywords

  • Cloud computing
  • Internet of things
  • Machine to machine communications
  • OpenStack
  • Scalability

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  • Cite this

    De La Bastida, D., & Lin, F. (2018). OpenStack-based highly scalable IoT/M2M platforms. In G. Min, X. Jin, L. T. Yang, Y. Wu, N. Georgalas, & A. Al-Dubi (Eds.), Proceedings - 2017 IEEE International Conference on Internet of Things, IEEE Green Computing and Communications, IEEE Cyber, Physical and Social Computing, IEEE Smart Data, iThings-GreenCom-CPSCom-SmartData 2017 (pp. 711-718). (Proceedings - 2017 IEEE International Conference on Internet of Things, IEEE Green Computing and Communications, IEEE Cyber, Physical and Social Computing, IEEE Smart Data, iThings-GreenCom-CPSCom-SmartData 2017; Vol. 2018-January). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/iThings-GreenCom-CPSCom-SmartData.2017.110