Big data and industrial Internet of Things for the maritime industry in Northwestern Norway

Hao Wang, Ottar L. Osen, Guoyuan Li, Wei Li, Hong-Ning Dai, Wei Zeng

Research output: Chapter in book/report/conference proceedingConference proceedingpeer-review

25 Citations (Scopus)


Big Data Analytics (BDA) and Internet of Things (IoT) are rising quickly. The recent emerging Industrial IoT (IIoT), a sub-paradigm of IoT, focuses more in safety-critical industrial applications. Studies showed that the adoption of BDA increase companies' output and productivity; IoT enables companies to have more information and control in physical resources, processes, and environments; BDA and IIoT complement each other and develop as a double helix. In this position paper, we briefly review the opportunities and challenges in this era of big data and IoT for the More maritime cluster; then we propose a new framework integrating BDA and IIoT technologies for offshore support vessels (OSVs) based on a hybrid CPU/GPU/FPGA1 high performance computing platform. We believe that such a framework, when implemented, can help maritime companies increase their output and productivity, and hence enable the whole cluster to continue to be a leader in the global maritime industry.

Original languageEnglish
Title of host publicationTENCON 2015 - 2015 IEEE Region 10 Conference, Proceedigns
Number of pages5
ISBN (Electronic)9781479986415
Publication statusPublished - 1 Nov 2015
Event35th IEEE Region 10 Conference, TENCON 2015 - Holiday Inn, Cotai, Macao
Duration: 1 Nov 20154 Nov 2015

Publication series

NameIEEE Region 10 Annual International Conference, Proceedings/TENCON
ISSN (Print)2159-3442
ISSN (Electronic)2159-3450


Conference35th IEEE Region 10 Conference, TENCON 2015
Internet address

Scopus Subject Areas

  • Computer Science Applications
  • Electrical and Electronic Engineering


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