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.

中文翻译：

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软件定义的海事雾计算：架构、优势和可行性


传感和通信技术的进步使得海洋研究中的新兴应用成为可能。然而，严格的资源限制阻碍了海事设备上的本地任务处理。由于卫星链路带来的成本难以承受，基于云的任务卸载也是不可行的。在这项工作中，我们提出了一种软件定义海上雾计算（SD-MFC）的愿景架构，该架构采用雾计算提供本地化服务，并使用软件定义网络技术提供底层资源的抽象。在SD-MFC中，沿海基础设施和大型船舶变成海上雾节点，处理周围海事设备产生的任务。通过对真实世界船舶轨迹数据集的探索，验证了所提出的 SD-MFC 的可行性和有效性。