15 results about "Application scheduling" patented technology

An application scheduler can schedule an execution of a software application based on compliance with a safety standard and an availability of system resources. The application scheduler can determine, based on a software inventory, that the software application is associated with the safety standard. The software inventory can include metadata corresponding to the software application. The application scheduler additionally can determine, based on the metadata of the software inventory, a set of system resources used to execute the software application. Subsequently, the application scheduler can schedule an execution of the software application based on the availability of the set of system resources.

The invention discloses an LBE large-space operation scheduling system, method and device and a storage medium, and relates to the technical field of virtual reality, and the system comprises a development configuration module, a space mapping module, a real-time synchronization module, an application scheduling module and a remote monitoring module. According to the method, development standardization, space digitization, data real-time, task process and control remote are realized, so that the development efficiency, the operation collaboration and the scheduling agility are greatly improved, and the management range is expanded.

The method for fine-grained computing task division and scheduling of multi-intelligent application of the application divides the interrupted intelligent application into five types of subtasks, including data preparation, model preparation, hardware resource preparation, inference and result post-processing. According to the subtask attribute inheritance principle, the attribute five-tuple of each subtask is determined. All the interrupted intelligent application subtasks are input into the subtask scheduling sequence generation algorithm, the subtask application scheduling sequence is calculated, and the subtask scheduling sequence is added to the application scheduling sequence. Through the task division and subtask scheduling method, the problems of low resource utilization and high multi-task execution delay in the airborne environment are optimized. The multi-intelligent application collaborative operation process is optimized based on the intelligent application scheduling algorithm and the subtask scheduling algorithm.

The present application relates to the field of server scheduling, in particular to a scheduling method of a computing cluster, a storage medium and an electronic device. The method comprises: performing optimal computing cluster evaluation on a plurality of computing clusters to filter out initial target computing clusters; performing pre-scheduling on each server in each initial target computing cluster to determine target scheduling servers; sending a scheduling request to the target scheduling servers to create a computing application in the target scheduling servers; determining an initial target application cluster through historical data; and determining the target scheduling servers through real-time data. Thus, through twice filtering and matching of data in different time dimensions, a suitable server can be more accurately scheduled for an application. Moreover, through multiple dimensions of a cluster storage and computing resource topology ID, a cluster historical task average processing time, a cluster historical computing accuracy and cluster pressure, a cluster that meets the computing application scheduling can be more accurately determined.

The invention relates to the technical field, in particular to an intelligent scheduling management method and system for server spare parts, and the method comprises the following steps: analyzing logistics and contracts, matching addresses with an AC automaton to obtain regions and delivery volumes, extracting contract proportions to construct a customer mapping table, and counting the inventory and the number of inventory and in-transit customer parts in the regions. And calculating the failure rate, analyzing the BOM to obtain a replaceable list, calculating the total demand, subtracting the inventory and the in-transit amount to obtain a net application number, and when the net application number is greater than zero, integrating each piece of information to generate a spare part application scheduling plan. According to the method, logistics and contract information is automatically analyzed, a differentiated demand model combining customer contract proportion and component historical failure rate is dynamically constructed, fixed experience proportion is abandoned, regional real-time inventory and in-transit quantity are integrated, a net application gap is accurately calculated, and meanwhile, a replaceable component list is fused into a scheduling plan, so that the scheduling efficiency is improved. The spare part scheduling accuracy and the supply chain response flexibility are greatly improved, and the risks of resource mismatching and inventory overstock are effectively avoided.

The invention discloses a cloud edge cooperation system and method based on KubeEdge, relates to the technical field of edge computing, and realizes more accurate edge application scheduling by integrating multi-dimensional operation indexes on edge nodes. Reasoning delay and cloud cost are remarkably reduced through a cloud-side cooperative processing mechanism of a reasoning request; an enhanced edge node task management framework realizes observable task state, customizable process and failure self-healing; and a lightweight edge node group flow closed-loop mechanism is provided, and network isolation and cooperative configuration of cross-domain edge applications are simplified.

The invention provides an edge application scheduling method and device, equipment, a medium and a product, and relates to the technical field of edge computing, and the method comprises the steps: obtaining resource state data of a plurality of edge nodes; dividing the edge nodes into a plurality of groups according to the resource state data; wherein at least one of the groups is configured as a point-to-point network group for mirror distribution; allocating a corresponding priority to each group based on the resource state data and the group type; wherein the priority is used for determining a distribution sequence of the edge applications; and scheduling the edge applications to each group in batches according to the priority sequence of the priorities. Therefore, efficient distribution of edge applications is realized by performing information acquisition and dynamic grouping on the edge nodes and combining a point-to-point networking technology and a priority scheduling strategy.

The embodiment of the application provides a multi-cluster service gateway fusion method and device and electronic equipment, and relates to the field of communication. The method first installs a Consul cluster; synchronizes Consul services of the Consul cluster in a preset container orchestration cluster; configures the Consul cluster in a preset application program scheduling and management cluster, and synchronizes management scheduling services of the application program scheduling and management cluster to the Consul cluster; configures a preset gateway management tool in the preset container orchestration cluster, and integrates the gateway management tool with the Consul cluster; performs rule configuration based on the gateway management tool to obtain routing rules; and matches the routing rules with access requests obtained through an external service access mode to provide services corresponding to the access requests. The embodiment of the application can realize registration and management of different services on the same service gateway, and guarantees the availability and security of application programs.

The embodiment of the invention provides a communication mode adjusting method and system, and the method comprises the steps: responding to a received diagnosis request, entering a diagnosis communication mode, and transmitting a diagnosis communication request to a slave node which is determined according to the request information carried in the diagnosis request, the diagnostic communication request is used for indicating the slave node to enter a diagnostic communication mode; determining a message scheduling mode based on a response state of the slave node, the response state being used for indicating whether the slave node responds to the diagnostic communication request, the message scheduling mode comprising a diagnostic scheduling mode or an application scheduling mode; a communication mode is adjusted based on the message scheduling mode, and the communication mode comprises a diagnosis communication mode corresponding to the diagnosis scheduling mode or an application communication mode corresponding to the application scheduling mode. The technical problem that in the prior art, a vehicle network cannot give consideration to real-time performance and sudden fault processing requirements is solved.

The application provides an edge application scheduling method and device, equipment, medium and product, relates to the technical field of edge computing, and comprises the following steps: acquiring resource state data of a plurality of edge nodes; dividing the edge nodes into a plurality of groups according to the resource state data; wherein at least one group in each group is configured as a point-to-point network group for mirror distribution; allocating corresponding priorities to each group based on the resource state data and the group type; wherein the priority is used to determine the distribution order of the edge application; and batch scheduling the edge application to each group according to the priority order of the priority. As can be seen, through information collection and dynamic grouping of the edge nodes, in combination with the point-to-point networking technology and the priority scheduling strategy, efficient distribution of the edge application is realized.

The embodiment of the invention discloses an application scheduling method and device. The method comprises the following steps: acquiring a first demand instruction input by a user; obtaining MCP service description information configured by each application in one or more applications on the cloud mobile phone platform; determining first MCP service description information corresponding to the first demand instruction according to the first demand instruction; when a user demand corresponding to the first demand instruction meets an application scheduling intention, determining a target application in the one or more applications corresponding to the first MCP service description information according to the first MCP service description information and MCP service description information configured for each application in the one or more applications; and calling the target application. Through the scheme, the cloud mobile phone intelligent agent can utilize a standardized MCP protocol to automatically discover and call the scheduling capability provided by the application according to user requirements, so that the efficiency, the flexibility and the stability of application scheduling are remarkably improved.

The invention discloses a task processing method based on an intelligent assistant and related equipment, and the method comprises the steps: generating a to-be-processed task in response to a received task instruction; obtaining domain data associated with an account and the task instruction through an intelligent assistant; performing task splitting processing on the to-be-processed task according to the domain data to obtain a sub-task set; and performing multi-application execution processing on the sub-task set through the intelligent assistant scheduling application component, and outputting to obtain a task processing result. According to the embodiment of the invention, the task processing fluency and intelligent degree are improved, and the method can be widely applied to the technical field of computers.

The application discloses a kind of intelligent robot control algorithm scheduling method and system based on dynamic directed acyclic graph.The scheduling method includes receiving the change of robot state or environment data, traversing conditional directed acyclic graph from root node, when executing to end node, dynamically generating intelligent robot control algorithm scheduling instance;Wherein, conditional directed acyclic graph contains at least one condition node, for activating corresponding model branch according to input data.This application scheduling method can effectively speed up the deployment of robot control algorithm when facing different scenarios, and reduce the complexity of deployment and implementation.

A computer-implemented method identifies a set of system applications of a system and a set of resources. A composite performance score is determined for each of the resources and the resources are ranked. The system applications are classified in at least two classifications such that each system application corresponds to a single classification and the classifications include a hierarchy of importance. The resources are ranked based on the composite scores. A highest ranked available resource is scheduled to an unscheduled system application having the highest classification of unscheduled system applications as a primary resource. A next highest ranked available resource is scheduled to the unscheduled system application as a secondary resource. The ranking and scheduling is reiterated until all system applications have been assigned to a resource. A schedule of resources identifying each system application and each resource scheduled to the system applications is output.