Abstract: The present disclosure relates to a data recovery method, a storage medium, and an electronic device. The method includes: receiving a notification message sent by a computing node in a distributed graph computing system, where the notification message represents that the corresponding computing node successfully stores current checkpoint data in a persistent memory; generating a checkpoint identifier corresponding to a current checkpoint when determining that all computing nodes in the distributed graph computing system successfully store the current checkpoint data in respective persistent memories; and sending the checkpoint identifier to each computing node, so that each computing node associates the checkpoint identifier with the current checkpoint data stored in the persistent memory, and the associated current checkpoint data is used for data recovery during recovery execution before the corresponding computing node obtains a checkpoint identifier corresponding to a next checkpoint.

Abstract: The present disclosure provides a method and apparatus for unmanned vehicle dispatching management, a device, a storage medium and a program, which relates to autonomous driving and intelligent transportation technology in artificial intelligence. The specific implementation solution includes: receiving an unmanned vehicle dispatching request; determining, according to the unmanned vehicle dispatching request, a first task type corresponding to a first unmanned vehicle to be dispatched; generating a first order corresponding to the first unmanned vehicle, where the first order is used to indicate a driving task to be performed by the first unmanned vehicle, and a type of the driving task is the first task type; and sending the first order to the first unmanned vehicle. Through the above process, a dispatching management of unmanned vehicles is realized from the task dimension, so that there is no need to distinguish the types of unmanned vehicles.

Abstract: The present disclosure provides a method and apparatus for unmanned vehicle dispatching management, a device, a storage medium and a program, which relates to autonomous driving and intelligent transportation technology in artificial intelligence. The specific implementation solution includes: receiving an unmanned vehicle dispatching request; determining, according to the unmanned vehicle dispatching request, a first task type corresponding to a first unmanned vehicle to be dispatched; generating a first order corresponding to the first unmanned vehicle, where the first order is used to indicate a driving task to be performed by the first unmanned vehicle, and a type of the driving task is the first task type; and sending the first order to the first unmanned vehicle. Through the above process, a dispatching management of unmanned vehicles is realized from the task dimension, so that there is no need to distinguish the types of unmanned vehicles.

Abstract: Embodiments of the present disclosure provide a hot backup system, a hot backup method, and a computer device. The hot backup system includes a centralized management module, a master server, a slave server and a delay server. The master server is configured to receive a write instruction sent by the centralized management module, and write first data to a database of the master server based on the write instruction. The slave server is configured to perform data synchronization with the master server in real time, receive a read instruction sent by the centralized management module, and send second data read based on the read instruction to the centralized management module to cause the centralized management module to send the second data to the service server.

Abstract: The present application discloses a traffic monitoring method, an apparatus, a device, and a storage medium, relates to fields of autonomous driving, intelligent transportation, big data. The specific implementation is: acquiring road condition information and/or vehicle state information collected by a terminal device, where the terminal device is at least one of an unmanned vehicle and an unmanned aerial vehicle; performing a data analysis on the road condition information and/or the vehicle state information, and identifying a traffic event. Through the above procedure, monitoring efficiency of the traffic state is improved.

Abstract: Embodiments of the present disclosure provide a hot backup system, a hot backup method, and a computer device. The hot backup system includes a centralized management module, a master server, a slave server and a delay server. The master server is configured to receive a write instruction sent by the centralized management module, and write first data to a database of the master server based on the write instruction. The slave server is configured to perform data synchronization with the master server in real time, receive a read instruction sent by the centralized management module, and send second data read based on the read instruction to the centralized management module to cause the centralized management module to send the second data to the service server.