Real-Time Scheduling for Internet of Vehicles

车联网(IoV)旨在实现下一代车辆应用，如预防性维护/诊断、基于反馈的路线选择、速度和燃料管理以及高级主动安全等。作为一个任务关键型系统，IoV需要保证各种服务/应用的服务质量(Quality of Service，简称Qos)要求，尤其是在数据包级和应用级都有截止期限制的实时业务。因此，为实时应用提供服务被视为IoV和许多其他网络物理系统的关键组件。尽管对IoV技术进行了大量研究，但仍然缺乏支持高置信度IoV实时应用的成熟科学，而且由于此类系统的高移动性和内在异构性带来的巨大挑战，传统的分析工具/算法无法应对IoV的全部复杂性或充分预测系统行为。

Internet of Vehicles (IoV) is envisioned to enable next-generation vehicular applications, such as preventive maintenance/diagnostics, feedback-based routing, speed and fuel management, and advanced active safety, among others. As a mission-critical system, IoV is required to guarantee the Quality of Service (QoS) requirements of various services/applications, especially for real-time services with deadline constraints either at packet level or application level. Serving real-time applications is therefore considered as a key component of IoV and many other cyber-physical systems. Despite significant research effort on IoV technology, a mature science to support real-time applications of high-confidence IoV is still missing, and traditional analysis tools/algorithms are unable to cope with the full complexity of IoV or adequately predict system behavior, due to great challenges that arise from the high mobility and intrinsic heterogeneity of such systems.