7 results about "Network scheduler" patented technology

The invention relates to the technical field of chip scheduling and optimization, in particular to a neural network-based main control chip task scheduling and dynamic performance optimization method, which comprises the steps of data acquisition and feature engineering, neural network model design, simulation environment training, model compression and deployment preparation, real-time state monitoring, dynamic decision reasoning, scheduling strategy execution and performance optimization. The data acquisition and feature engineering comprises the following steps: S1, hardware index acquisition; analyzing task attributes (calculation-intensive / IO-intensive), a dependency relationship (DAG), deadline (Deadline) and a resource demand (CPU / GPU occupancy rate); collecting data during chip operation through a performance counter (IPC, cache hit rate and branch prediction error rate), a temperature sensor and a power consumption monitoring unit (PMU); the neural network scheduler can achieve the energy efficiency ratio which is 20%-40% higher than that of a traditional method (such as a CFS scheduler), meanwhile, the neural network scheduler adapts to sudden load changes, and the practicability and the application range of a main control chip are wider.

In a system, apparatus, method, and non-transitory computer readable medium, a network device may be caused to, obtain task utility information for at least one task to be performed by at least one wirelessly controlled device, obtain wireless link utility information for at least one wireless link to be assigned to the at least one task, determine a QoS time function for the at least one task and the at least one wireless link based on the task utility information and the wireless link utility information, and communicate the QoS time function to a network scheduler node, a core network node, and an enterprise management server, the QoS time function enabling the network scheduler node to provide network resources over the first time period to the at least one wirelessly controlled device based on the QoS requirements.

The present application relates to the technical field of computing resource scheduling, in particular to a computing network task dynamic scheduling method and system. Historical scheduling trajectories are obtained to form a historical scheduling trajectory dataset; a high-quality causal trajectory set is formed based on the historical scheduling trajectory dataset; the high-quality causal trajectory set is divided into M trajectory subsets, and M sub-strategy networks are trained; during training, a loss function weight is configured based on a trajectory quality weight; a meta-strategy network integrating the M sub-strategy networks is constructed and trained using a model-independent meta-learning framework; a dynamic weight vector is dynamically generated according to an environment state feature vector and a task feature vector, and a scheduling action is output based on the dynamic weight vector; the meta-strategy network is deployed to a computing network scheduler to process real-time scheduling requests containing environment state feature vectors and task feature vectors. The present application can achieve high accuracy, strong robustness and fast adaptability in computing network task scheduling.

A method for quality of service conditioning for industrial wireless control. In a system, apparatus, method, and non-transitory computer-readable medium, a network device may be caused to obtain task utility information for at least one task to be performed by at least one wireless controlled device, obtain wireless link utility information for at least one wireless link to be allocated to the at least one task, determining a QoS time function for the at least one task and the at least one wireless link based on the task utility information and the wireless link utility information, and transmitting the QoS time function to a network scheduler node, a core network node, and an enterprise management server, the QoS time function enables the network scheduler node to provide network resources to the at least one wireless controlled device for a first time period based on the QoS requirements.

A network device comprising a radio interface, and a controller configured to determine a first reception quality for a first TRP, determine a second reception quality for a second TRP, select at least one of the first TRP and the second TRP as a selected TRP based on the first and / or the second reception quality, and send a data communication acknowledgement message to a network scheduler device. Moreover, the data communication acknowledgement message indicates the selected TRP.