Real-Time Scheduling for Internet of Vehicles

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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.