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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 |
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creator | Zhu, Chao Zhang, Wenjun Chiang, Yi-Han Ye, Neng Du, Lei An, Jianping |
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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