5results about How to "Meet resource needs" patented technology

This invention discloses a dynamic interval elastic scaling method and system based on long-term series prediction. The method includes: collecting load time-series data of applications deployed in a container cloud platform and storing it in a time-series database; using a combined time-series prediction model based on the Transformer architecture and a Bi-LSTM time-series prediction model to perform long-term time-series prediction on the load time-series data; dynamically determining the scaling interval based on the predicted load; generating and executing a scaling strategy for application replicas in the container cloud platform, scaling up and allocating sufficient resources in advance before the actual increase in application load, thus ensuring the service quality of applications in the container cloud platform. This invention can effectively reduce the number of scaling operations, avoid window jitter caused by frequent scaling up and down, and ensure the stability of the container cloud cluster; effectively meet the resource requirements of applications and avoid application service quality instability caused by rapid scaling down.

The application provides a task resource pool construction method for a large-scale satellite cluster, belongs to the technical field of aerospace, and is characterized in that, on the basis of abstractly and quantitatively representing required resources of a task and residual resources of each node, a node receiving a task request is taken as a center, communication is performed layer by layer outward, resource information of a participating node is collected, and when the total number of resources of the participating nodes meets the task demand, the search outward is stopped to complete the search of the task resource pool member nodes; the method can make the large-scale satellite cluster have the rapid response capability to deal with sudden tasks, strengthens the autonomous decision-making capability in orbit, and has a wide application prospect.

The invention provides an operation method for extracting pyrite from high-sulfur coal, and relates to the technical field of coal deep processing and mineral extraction, and the operation method comprises the following steps: S1, selecting the high-sulfur coal with the sulfur content greater than or equal to 2% as a raw material; s2, feeding the pretreated raw coal into a jaw crusher for coarse crushing; s3, mixing the pulverized coal with water, and feeding the mixture into a water mill for pulping; s4, the ore pulp is fed into a spiral chute, and roughing is carried out under the adjustment of the water flow speed of 0.8-1.3 m / s and the inclination angle of 15-23 DEG C; s5, the roughed pyrite is fed into a jigger; s6, the pyrite crude product and water are mixed to prepare ore pulp with the concentration being 22%-26%, a trapping agent accounting for 0.1%-0.12% of the mass of the ore pulp and a foaming agent accounting for 0.02%-0.04% of the mass of the ore pulp are added, and flotation pyrite is obtained; s7, the flotation pyrite is fed into a magnetic separator, and high-purity pyrite is obtained; according to the combined process, efficient recovery of the pyrite with different particle sizes is achieved, and compared with a traditional process, the pyrite extraction efficiency is remarkably improved.

The application provides a satellite communication method and a satellite communication system. The satellite communication system comprises a control management module, a certain number of low-orbit access nodes and a certain number of high-orbit forwarding nodes. The method comprises the following steps: a first message is sent to the control management module by a source low-orbit access node; the control management module selects a target high-orbit forwarding node according to the first message and returns a second message to the source low-orbit access node; the source low-orbit access node obtains a new data packet according to the second message and sends the new data packet to the target high-orbit forwarding node, so that the target high-orbit forwarding node obtains a target data packet according to the new data packet and sends the target data packet to a destination low-orbit access node. In this way, the differentiated services of the satellite network slice are realized, the resource requirements of different types of slices are met, and the network data carrying capacity in the satellite network is maximized.

This application relates to the field of resource allocation technology, and discloses a heterogeneous resource scheduling method, a heterogeneous resource scheduling device, a computing device, and a computer-readable storage medium. Applied to a computing device, the computing device includes various computing resources. The method includes: parsing the task to be allocated, generating multiple subtasks and task attribute identifiers corresponding to each subtask; determining the execution order of the multiple subtasks according to priority; processing each subtask according to the execution order; calculating a cost function based on the task attribute identifiers and the target performance model of each computing resource; scheduling the subtasks to the computing resource with the minimum cost function; and simultaneously obtaining multiple target performance indicators fed back by the computing resources and updating the target performance model. Through the above method, the collaborative execution of heterogeneous resources is achieved, and it can adapt to dynamic changes in hardware performance, ensuring that all subtasks in the task to be allocated can be executed efficiently.