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Software-Defined Maritime Fog Computing: Architecture, Advantages, and Feasibility
IEEE NETWORK ( IF 6.8 ) Pub Date : 5-30-2022 , DOI: 10.1109/mnet.003.2100433
Chao Zhu 1 , Wenjun Zhang 2 , Yi-Han Chiang 3 , Neng Ye 1 , Lei Du 4 , Jianping An 1
Affiliation  

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:


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。
更新日期:2024-08-26
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