3results about How to "Improve task scheduling efficiency" patented technology

This application provides a task scheduling method and system, electronic device, and storage medium, belonging to the field of task scheduling technology. The method includes: acquiring historical site data for all sites within a scheduling area and historical video recording data for all cameras within each site; determining the pre-allocated task volume for each site under different sampling types based on current scheduling resources, historical site task volume, and historical site event volume; determining the first correlation degree between the corresponding camera and the occurring event based on the historical video task volume and historical event volume; selecting multiple target camera devices from all camera devices within the site based on the first correlation degree of each camera device; and generating target scheduling data for each target camera device in the site based on historical time period data, the pre-allocated task volume corresponding to different sampling types, the multiple target camera devices, and the tasks corresponding to the site. This application can improve the efficiency of task scheduling.

This application relates to a partitioning method, apparatus, computer device, storage medium, and computer program product based on edge number optimization. The method includes: acquiring a target directed acyclic graph (DAG) for processing a target task; the target DAG includes multiple partitions; calculating the edge gain values ​​of the corresponding boundary task nodes according to the node order of the boundary task nodes in the target DAG; the boundary task nodes are task nodes in partitions different from the first partition that have dependencies on each other, and the first partition is the partition of the boundary task nodes in the target DAG; updating the partition position of the corresponding boundary task node in the target DAG based on the edge gain values ​​of the corresponding boundary task node. This method can improve task scheduling efficiency.

The application discloses a multi-task scheduling method of a heterogeneous processor and belongs to the computer field. In the case that the storage resource of an end side is insufficient, the user cannot use a single model to parallel infer different frame data, and the existing resources are reused as much as possible to improve the inference efficiency in the scene that the camera data / frame data needs to be processed in parallel. Meanwhile, different priorities are set for different inference tasks and different inference tasks of the same model, multiple models exist in cascade, and the multiple model cascades return in the middle, and the multi-task scheduling method is provided, which can effectively improve the efficiency of the end side inference task and significantly reduce the waste of the computing resource.