In the scenario of mobile fog computing (MFC), communication between vehicles and fog layer, which is called vehicle-to-fog (V2F) communication, needs to use bandwidth resources as much as possible with low delay and high tolerance for errors. In order to adapt to these harsh scenarios, there are important technical challenges concerning the combination of network coding (NC) and multipath transmission to construct high-quality V2F communication for cloud-aware MFC. Most NC schemes exhibit poor reliability in burst errors that often occur in high-speed movement scenarios. These can be improved by using interleaving technology. However, most traditional interleaving schemes for multipath transmission are designed based on round robin (RR) or weighted round robin (WRR), in practice, which can waste a lot of bandwidth resources. In order to solve those problems, this paper proposes a novel multipath transmission scheme for cloud-aware MFC, which is called Bidirectional Selection Scheduling (BSS) scheme. Under the premise of realizing interleaving, since BSS can be used in conjunction with a lot of path scheduling algorithms based on Earliest Delivery Path First (EDPF), it can make better use of bandwidth resources. As a result, BSS has high reliability and bandwidth utilization in harsh scenarios. It can meet the high-quality requirements of cloud-aware MFC for transmission.

中文翻译：

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BSS：用于移动雾计算的多径传输的突发错误校正方案

在移动雾计算（MFC）的情况下，车辆与雾层之间的通信（称为车对雾（V2F）通信）需要尽可能多地使用带宽资源，并且延迟低且容错性高。为了适应这些苛刻的情况，存在着重要的技术挑战，涉及将网络编码（NC）和多路径传输相结合以构造用于感知云的MFC的高质量V2F通信。大多数NC方案在经常发生在高速运动场景中的突发错误中显示出较差的可靠性。这些可以通过使用交错技术来改善。然而，实际上，大多数传统的用于多径传输的交织方案是基于轮询（RR）或加权轮询（WRR）设计的，这会浪费大量带宽资源。为了解决这些问题，本文提出了一种新的面向云的MFC的多径传输方案，称为双向选择调度（BSS）方案。在实现交织的前提下，由于可以将BSS与许多基于最早传递路径优先（EDPF）的路径调度算法结合使用，因此可以更好地利用带宽资源。结果，BSS在恶劣的情况下具有很高的可靠性和带宽利用率。它可以满足传输云的MFC的高质量要求。由于BSS可以与许多基于最早传递路径优先（EDPF）的路径调度算法结合使用，因此它可以更好地利用带宽资源。结果，BSS在恶劣的情况下具有很高的可靠性和带宽利用率。它可以满足传输云的MFC的高质量要求。由于BSS可以与许多基于最早传递路径优先（EDPF）的路径调度算法结合使用，因此它可以更好地利用带宽资源。结果，BSS在恶劣的情况下具有很高的可靠性和带宽利用率。它可以满足传输云的MFC的高质量要求。