ID 原文 译文
57208 提出采用区块链技术为智能终端提供安全可靠的协作平台，用激励机制鼓励智能终端参与协作. The blockchain technology is used to provide a safe and reliable cooperation platform for intel- ligent terminals，and a suitable incentive mechanism is provided to encourage intelligent terminals to par- ticipate in cooperative computing.
57209 采用 Kuhn- Munkres 算法实现最优配对，充分调动计算资源;通过两阶段 Stackelberg 模型描述计算资源的交易过程，在保障公平性的同时实现计算能耗的优化. Specifically，the proposed scheme uses the Kuhn-Munkres algorithm to achieve the optimal pairing and to fully mobilize the computing resources in the network，it also uses the two-stage Stackelberg model to describe the computing resource transaction process，which can optimize computing energy consumption while ensuring fairness.
57210 采用信誉值证明的共识机制来减少挖矿造成的资源浪费，利用信誉值和资源币收益作为激励条件，鼓励智能终端参与协作，提高服务质量. This scheme adoptes the proof-of-reputation con- sensus mechanism to reduce resource waste caused by mining，used reputation and resource currency rev- enue as incentive conditions to encourage intelligent terminals to participate in cooperation and improve the quality of service.
57211 仿真结果表明，所提方案综合了协作双方的效用，不仅可提供一个可信的交易平台，而且能降低总能量的消耗. Simulation shows that the proposed scheme comprehensively considers the utility of the parties in cooperation，not only can provide a credible trading platform，but also can reduce the total energy consumption.
57212 提出了一种新的报文调度机制，以实现网络端到端确定性低时延和低抖动. A new packet scheduling mechanism，which can provide bounded latency and jitter for Inter- net protocol ( IP) network，is proposed.
57213 该机制利用网络演算理论来提供逐跳的时延上界指导，并通过逐跳增加 Damper 的方式对报文进行主动等待，实现对报文的逐跳聚合整形，消除了传统网际互联协议( IP) 网络中由于波峰叠加造成的时延恶化. With the guidance of network calculus，the Damper scheduling mechanism performs per-hop shaping by actively holding packets in the damper module per-hop and thereby eliminating the delay deterioration.
57214 该机制不要求网络设备之间时间同步，不需要核心节点维护逐流状态，可支持大规模传输距离，在大规模 IP 网络中扩展性好. The Damper mechanism requires neither time synchronization among network devices，nor per-flow status maintenance on core devices. It supports large-scale transmis- sion distances and thus can be extended on large-scale IP networks.
57215 在车联网场景中，智能车辆受限于自身有限的感知范围和计算资源，难以实现高可靠性的自动驾驶. Designing a highly reliable automatic driving system is challenging due to the limited percep?tion range and computing resources of intelligent vehicles.
57216 针对上述问题，提出了面向车联网自动驾驶的边缘智能多源数据处理方法，通过发掘网络中节点的空闲资源，提高系统的吞吐量，利用网络中的分布式数据，提高神经网络的推断准确率. To this end，the distributed data and availableresources in the network should be exploited. An edge intelligence multi-source data processing schemefor autonomous driving in Internet of vehicles is proposed.
57217 为了解决车辆节点数据传输的耦合问题，构建了3 层网络模型，对网络中的数据传输进行调度，并将原车辆节点一一映射为一个虚拟节点集合，对节点的数据传输进行解耦，从而把原问题转化为最小费用最大流的问题，实现了对自动驾驶网络计算、通信资源的高效分配. Firstly，a three-layer network model is con?structed to schedule the data transmission. Then the original vehicle nodes are mapped one by one into aset of virtual nodes to decouple the data transmission. Thereafter，the original problem into a minimumcost maximum flow problem，realizing the efficient allocation of computing，communication resources inthe network are transformed.