5results about How to "Guaranteed latency" patented technology

The application provides a method and device for quantifying elastic KV cache through computing power of an intelligent computing cloud platform, and relates to the technical fields of intelligent computing centers, intelligent computing centers, computing power infrastructure and intelligent computing cloud technology.The method comprises the following steps: S1, dividing historical tokens into multiple cache blocks, quantifying KV data and writing the data into corresponding cache blocks, and selecting multiple candidate anchor points; S2, calculating block-level summary data; S3, in response to a new target token, scoring the cache blocks to generate cache block scores and screening out candidate cache blocks; S4, calculating uncertainty index data and determining a target cache block with to-be-restored precision according to the uncertainty index data; and S5, locating an upstream target anchor point and locally playing back the historical tokens based on the upstream target anchor point to generate target high-precision KV data of the target cache block.The application can greatly improve the quantification effect of KV cache of the intelligent computing cloud platform.

The application belongs to the technical field of vehicle communication, and discloses a vehicle fog service security communication system and method based on a blockchain and a terminal, which comprises the following steps: a trusted authority (TA) verifies the original id of a vehicle, allocates a pseudo id to the vehicle, and uses an elliptic curve digital signature algorithm to sign the registration information of the vehicle; a roadside unit (RSU) performs identity authentication and data transmission with a vehicle-mounted unit that sends a communication request; a vehicle-mounted unit (OBU) performs identity authentication and data transmission with a nearby RSU; a blockchain uses a consortium blockchain as a decentralized underlying architecture to be instantiated; the application ensures the ultra-low delay and ultra-high reliability of vehicle fog service when negotiating a security communication key, uses a fog node at the network edge, improves the reliability of the network, and ensures low delay of the network. The communication scheme of the application is lightweight and can resist various known attacks.

This application discloses a latency allocation method, apparatus, device, storage medium, and computer program product. The method includes: a first functional entity splitting the total latency requirement of a first task into a computation latency requirement and a transmission latency requirement; sending the computation latency requirement to a second functional entity and sending the transmission latency requirement to a network device; wherein the second functional entity is used to split the computation latency requirement into a network-side computation latency requirement and / or a terminal-side computation latency requirement; and the network device is used to split the transmission latency requirement into an uplink transmission latency requirement and a downlink transmission latency requirement.

The invention discloses a Stackelberg game-based calculation unloading and cooperative calculation method in an unmanned aerial vehicle. The method comprises the steps of constructing a mobile edge calculation system; defining a task unloading strategy of the MUE and a cooperative forwarding strategy of the UAV; establishing system cost models including a G2A communication model, an A2A communication model, a calculation queuing model and a system energy consumption model, and establishing a task completion time delay model including constructing an optimization problem; modeling the optimization problem as a Stackelberg game; the UAV is used as a leader, and the MUE is used as a follower; alternately updating the cooperative forwarding strategy and the task unloading strategy by adopting a distributed iteration strategy solving algorithm, and outputting a balanced unloading strategy and a balanced forwarding strategy; and the MUE offloads the task to the UAV according to a balanced offload strategy, and controls the UAV to forward the task to an adjacent UAV or to process locally according to a balanced forwarding strategy. According to the method, cooperative processing of tasks is realized based on the Stackelberg game, and the comprehensive cost is effectively reduced.

The application relates to the field of robot production lines, and particularly relates to a digital twin simulation system based on robot action features, which comprises a data management unit and a twin simulation unit. The data management unit is connected to a robot management unit, collects original state data of a production line robot maintained by the production line robot management unit, carries out data cleaning and format conversion on the original state data to form twin state data, then carries out data packaging according to a subscription configuration, and sends the data to the twin simulation unit by using different transmission channels. The twin simulation unit obtains the twin state data after unpacking, then sends the twin state data to each twin simulation robot according to a registration configuration, updates the state, and displays in the form of an animation. The application further comprises a simulation method. The application collects data of a real robot or data provided by simulation software, solves the problem of robot simulation animation display, reduces the input of modeling personnel, and can also reduce the process requirements of non-professional personnel.