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Software-Defined Maritime Fog Computing: Architecture, Advantages, and Feasibility

Advances in sensing and communication technologies have enabled emerging applications in ocean research. The stringent resource limitations, however, hinder local task processing on maritime devices. Cloud-based task offloading is also not feasible due to the unaffordable costs induced by satellite...

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Published in:IEEE network 2022-03, Vol.36 (2), p.26-33
Main Authors: Zhu, Chao, Zhang, Wenjun, Chiang, Yi-Han, Ye, Neng, Du, Lei, An, Jianping
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cited_by cdi_FETCH-LOGICAL-c357t-6e262e44387005f7b58c05952d3e37f72c11e4b507dd29a8d43974827fb031f13
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description Advances in sensing and communication technologies have enabled emerging applications in ocean research. The stringent resource limitations, however, hinder local task processing on maritime devices. Cloud-based task offloading is also not feasible due to the unaffordable costs induced by satellite links. In this work, we propose a visionary architecture on software-defined maritime fog computing (SD-MFC), which adopts fog computing to provide localized services and uses software-defined networking technology to provide the abstraction of underlying resources. In SD-MFC, coastal infrastructures and large-size vessels are turned into maritime fog nodes to process the tasks generated by surrounding maritime devices. By exploration of a real-world vessel trajectory dataset, the feasibility and effectiveness of the proposed SD-MFC are verified.
doi_str_mv 10.1109/MNET.003.2100433
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subjects Cloud computing
Communications technology
Computation offloading
Computer architecture
Edge computing
Feasibility
Marine vehicles
Maritime communication
Oceans
Satellite communications
Sea measurements
Sea vessels
Software defined networking
Task analysis
Trajectory
title Software-Defined Maritime Fog Computing: Architecture, Advantages, and Feasibility
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