11results about How to "Avoid allocation problems" patented technology

The invention discloses a self-adaptive resource scheduling method for improving cluster reconstruction efficiency, and relates to the field of resource scheduling distribution, and the method comprises the steps: monitoring the resource use data of each node in a cluster in real time through a monitoring agent, and obtaining the health state of the node through a heartbeat mechanism; collecting input task requests, predicting the resource demand quantity of each task, and performing preliminary queue processing on the tasks to obtain a task queue group; setting a resource competition constraint according to the task queue group and the resource use data and the health state of each node, obtaining dynamic resource scheduling corresponding to each task by using an optimization algorithm, and allocating the tasks to each node; a resource scheduling dynamic graph is constructed, a visual interface is set, and the resource scheduling dynamic graph is arranged on the visual interface and used for displaying resource scheduling, providing a user-friendly interface and realizing high-efficiency scheduling of adaptive resources in a cluster reconstruction process.

The application discloses a multi-layer strip-shaped low-altitude unmanned aerial vehicle continuous coordination release traffic control system and method. The application relates to the technical field of low-altitude traffic control, and aims at the problems of coarse strip-shaped low-altitude airspace resource description, lack of coordination in continuous node release, and window mismatch and air route conflict in existing low-altitude traffic control. The application provides the following scheme: obtaining strip-shaped airspace operation state and unmanned aerial vehicle traffic demand, generating low-altitude airspace resource units and traffic permission windows, coordinating adjacent node release phase difference based on predicted traffic time, forming a low-altitude continuous traffic flight wave, and generating unmanned aerial vehicle low-altitude traffic control instructions. The application is suitable for low-altitude traffic management platforms, unmanned aerial vehicle operation control systems and take-off and landing field control units.

The invention discloses a memory management method for reducing memory fragmentization, and relates to the technical field of memory management of a real-time operating system, the method mainly comprises the steps of heap area initialization, cache area initialization, memory allocation and the like, and the method comprises the steps of creating a linked list array, declaring a fixed-length memory pool linked list, a fixed-length memory pool and a memory block-data structure. A fixed-length memory pool cache region with the size of a plurality of memory blocks is constructed, direct memory allocation from a heap region can be avoided, variable-length memory pool management is adopted for heap region allocation in a matched manner, the frequency of heap region memory block cutting is reduced through combination of the two, memory fragmentation is reduced, the allocation speed is high, and the allocation efficiency is improved. And the memory blocks in the heap region and the memory blocks in the cache region can be recycled, so that the frequency of dividing the memory blocks in the heap region is reduced again, the memory allocation efficiency is improved, and the running requirements of a real-time operating system can be met in a matched manner.

The invention provides a water surface floating object classified cleaning robot for a water storage reservoir of a hydropower station and a working subarea setting method. The robot comprises a large garbage collector, a small garbage collector and a movable connecting structure, a water pump is arranged in the large garbage collector to provide suction force, and both the large garbage collector and the small garbage collector are provided with filter screens. After the robot enters water, openings of the large collector and the small collector are located under the water surface, water and garbage enter the corresponding collectors respectively under the suction action of the water pump, the garbage is intercepted through the filter screens, and the water is discharged. The small garbage collector is provided with a garbage recognition camera, and a driving propeller is arranged on the outer side of the large garbage collector. Large and small garbage can be collected in a classified mode, the collecting angle is adjusted through the multiple sleeves, and the feeding effect is improved; on the basis of grid discrete calculation, a weighted Voronoi distribution mechanism is adopted, a plurality of optimal working sub-areas are generated, and multi-robot efficient operation is achieved.

The application discloses a device access method and device, electronic equipment, medium and product. The method is applied to a base station and includes the following steps: when a preamble sequence carried by a first uplink transmission resource is detected, receiving uplink physical channel data through a second uplink transmission resource associated with the first uplink transmission resource; after the uplink physical channel data passes CRC check, judging whether the preamble sequence is a valid preamble sequence according to an index value in the uplink physical channel data; if yes, performing a corresponding access operation on a terminal device sending the preamble sequence. The method can reduce the false alarm probability of a physical random access channel, avoid the base station from allocating redundant uplink resources to a non-existing terminal device, and thus improve key operation indexes such as network access success rate and system throughput.

The invention provides a video coordination processing method based on a high-concurrency scene, and the method comprises the steps: S1, enabling a plurality of visitors of a real-time video to search a corresponding branch server when any real-time video is played; s2, for any visitor accessing the branch server, determining a specific access path of the visitor according to the access time of the visitor, a traffic peak value in a historical access record, an active state in an annular period and limited access state values of a plurality of access paths, forming a path code, and recording the path code in an access database; s3, in the playing process of any real-time video, the page view pre-distribution model adjusts the number of branch servers distributed by the main server; and S4, monitoring the access flow of any visitor of any specific access path, and judging whether the access path of the visitor is changed or not according to the actual access flow of the visitor. According to the video coordination processing method, the delay phenomenon in the video coordination process can be remarkably reduced, and therefore the user experience is improved.

The invention relates to the technical field of server resource scheduling, and discloses a server resource intelligent scheduling method and system based on auxiliary decision making. The method comprises the following steps: setting an execution ending time point of a task in an abnormal execution category in task execution information as a reference time point; analyzing the change trend of the basic parameter set to extract inflection points; dividing the plurality of servers according to a load evaluation value generated by combining the inflection point and the time difference, forming a schedulable server set, selecting a server from the schedulable server set to be matched with the to-be-executed task, and completing task allocation; and calculating an adaptive score of the current task and the current server, and judging whether the current task is migrated to the server in the schedulable server set to be executed or not. According to the method, the server is divided by analyzing the change trend of the execution parameters of the abnormal task, so that the accuracy of server state evaluation is improved; whether migration is executed on the current task is judged through the adaptive score, and stable execution of the task is guaranteed.

The invention discloses a work order processing method and device, a storage medium and electronic equipment. The method relates to the technical field of data processing, and comprises the following steps: classifying a target record work order recording a to-be-processed event through a data classification device to obtain target category information corresponding to the target record work order; processing the target record work order through a work order generation device corresponding to the target category information to obtain a target operation work order; and distributing the target operation work order to a first target object through a work order distribution device so as to process the to-be-processed event based on the target operation work order through the first target object. Through the work order distribution method and device, the problem that the work order distribution efficiency is relatively low due to the fact that the work orders are distributed in a manual mode in related technologies is solved.

The invention discloses a fund backflow prevention and control method and system for flexible employment, relates to the technical field of big data detection, and solves the problems that in the prior art, the fund backflow prevention and control process for flexible employment mainly depends on technologies such as block chains, big data and artificial intelligence, implementation and integration of the technologies are relatively complex, and the cost is high. And high investment can be generated. According to the invention, whether the order issuing enterprise has the qualification of normally issuing the business order is determined; acquiring historical business order information of the business order applicant from the database, and judging whether the applicant has order receiving qualification or not according to the historical business order information; the applicant submits corresponding service data after completing the business order, judges whether the personal service completion condition of the applicant meets the requirement of an order issuing enterprise or not, and scores the applicant; carrying out business expense settlement according to the applicant score and the enterprise score; the complexity of fund backflow prevention and control is reduced.

The invention provides a digital human marketing interaction method and system based on data processing, and belongs to the technical field of digital human marketing interaction. The method comprises the following steps: displaying a digital human auxiliary marketing mode in response to detection that a first operation of a first user on a human-computer interaction terminal does not conform to expectation; in response to activation of the digital human-assisted marketing mode by a first user, first operation data corresponding to the first operation of the first user on the human-computer interaction terminal is acquired; based on the first operation data, a first auxiliary marketing digital person is generated for the first user, and the first auxiliary marketing digital person provides first auxiliary operation data for the first user; and when the second operation data and the first operation data meet an association condition, multiplexing the first auxiliary marketing digital person for the second user. According to the technical scheme, the efficiency of digital human generation and reproduction can be improved under the condition of limited resource pools, and the occurrence opportunity meets the expectation of a user.

The invention provides a Volcano-based fault sensing scheduling method, device and system, and a monitoring system, and the method comprises the steps: monitoring a node operation state in a K8s cluster in real time, and writing the generated node state information into a Redis node state table; wherein the node state information comprises a node name and a corresponding node operation state; the scheduling system updates the node information table in the session based on the node state information in the Redis node state table so as to determine a target node corresponding to the Job to be scheduled, thereby completing Job scheduling; wherein the step of updating the node information table in the session comprises the substeps of deleting nodes of which the corresponding node running states are not found in the Redis node state table in the node information table and the found nodes of which the node running states are fault states. Through the cooperation of the monitoring system and the scheduling system, the timeliness and correctness of task calculation are ensured, the use efficiency of computing power resources is optimized, and the operation and maintenance efficiency is improved at the same time.