7results about How to "Solve low resource utilization" patented technology

The invention discloses a multi-layer memory management method and device, a storage medium and electronic equipment, and relates to the technical field of memory management, and the method comprises the steps that a prediction frequency set of storage equipment is obtained through prediction by using a reference information set corresponding to the storage equipment, and the storage equipment comprises a first memory and a second memory; the first delay of the first memory is smaller than the second delay of the second memory; determining a plurality of target sub-data contained in the target data of the storage device, and determining predicted access frequencies corresponding to the plurality of target sub-data based on the predicted frequency set; under the condition that the predicted access frequencies corresponding to the multiple pieces of target sub-data meet a preset splitting condition, splitting the target data into multiple pieces of target sub-data; and storing the target sub-data with the predicted access frequency greater than the frequency threshold in the first memory, and storing the target sub-data with the predicted access frequency less than the frequency threshold in the second memory. The technical problem that a memory management method in the related technology is low in resource utilization rate is solved.

This invention provides a self-powered drive device. The self-powered drive device includes a movable support component, a power supply component, and a motor. The movable support component has multiple wheel components at its bottom. The power supply component is disposed on the movable support component. The motor is detachably disposed on the movable support component. The motor is adapted to be detachably connected to the drive connection part of the photovoltaic container to provide power to the photovoltaic container's unfolding and unfolding transmission component. The motor is electrically connected to the power supply component. This invention allows for flexible relocation using the movable support component, enabling the unfolding and folding of photovoltaic panels without the need for additional power supply equipment or long-distance cable laying. This reduces construction difficulty and shortens the construction period, thus meeting the needs of rapid on-site installation.

This application discloses a workflow processing system and method. It relates to the fields of cloud computing, automated task scheduling, and container orchestration. The system includes: a server, used to interact with users through a graphical interface, create workflow template files, and send the workflow template files to a scheduler; a scheduler, used to receive workflow instances, extract a directed acyclic graph (DAG) from the workflow instances, and control clients to execute workflow instances according to the DAG; and a client, used to execute tasks of N task nodes through N containers, updating the status of each task node to the server. This application solves the problem of low resource utilization in workflow scheduling in cloud-native environments in related technologies.

The present application relates to a kind of resource affinity power scheduling method, device, equipment and medium based on, including the following steps, the load state data of each computing node is collected by power node monitoring module;Then the task of user submission is carried out demand analysis, generates task resource demand vector, and with node load data affinity matching, obtain resource affinity matching value;Then the interdependence of node is analyzed, and resource dependence coefficient is calculated, and weighted with affinity matching value to obtain comprehensive affinity value;Comprehensive affinity value is sorted in descending order, and form node priority sequence;Finally, power mapping scheduling is carried out based on the sequence, and the final scheduling scheme is generated.The method considers resource matching degree and node collaborative relationship comprehensively, improves scheduling efficiency and resource utilization, solves the technical problems of low resource utilization, high task response delay and uneven load between nodes caused by traditional scheduling method.

The invention provides a component editing method which comprises the steps that a game editing scene is displayed in a graphical user interface, and the game editing scene comprises a plurality of virtual components; and in response to a selection operation for a first virtual component and a second virtual component in the plurality of virtual components, displaying an associated display effect of the second virtual component in a target surface area of the first virtual component, the associated display effect being determined based on visual features of the second virtual component. Therefore, the user can directly use the existing component in the scene to generate the sticker effect and preview the sticker effect in real time without the tedious process of screenshot, export and reimport.

The application discloses a MAC protocol implementation method based on clustering management and multi-priority scheduling, and is implemented according to the following steps: first, a node with completed initialization interacts neighbor information by periodically sending a HELLO packet, and then each node has neighbor information within a two-hop range, and a clustering degree value of the node is calculated based on multiple interaction packets; then, if there is no cluster head within the two-hop range, a cluster head election process is completed based on a clustering management mechanism, and the cluster is organized into clusters; if there is a cluster head within the two-hop range, window information broadcasted by the cluster head is listened to, and network access is requested within the window; finally, after clustering is completed, the cluster head periodically completes cluster group maintenance, information aggregation and time slot resource scheduling according to a TDMA time frame structure; and the method divides the cluster into multiple clusters for independent management through the clustering mechanism, and solves the problems of difficult node access, poor flexibility and poor expansibility of the network of the traditional MAC protocol.

The application provides a large model instance scheduling method supporting heterogeneous computing power nodes, comprising: acquiring real-time resource state data of each computing power node in a cluster, wherein the resource state data at least includes processor occupancy, memory occupancy, accelerator occupancy and video memory occupancy; comprehensively evaluating the real-time resource state data according to a preset weight strategy, and calculating the load score of each computing power node, wherein a penalty factor is applied to the computing power node without an accelerator to improve the load score; in response to a start request of a large model instance, selecting a node with the lowest load score from all online computing power nodes as a target deployment node; and sending a model start instruction containing parallel configuration parameters to the target deployment node to run the large model instance on the target deployment node. The problem of low resource utilization under a hybrid architecture is effectively solved, and the flexibility of large model deployment and the overall performance of the cluster are improved.