18results about How to "Improve load uniformity" patented technology

The invention discloses a cloud computing storage, calculation and training resource allocation method based on reinforcement learning and dynamic resource scheduling. The method comprises the following steps: S1, establishing a unified resource scheduling framework; s2, constructing a state space and an action space; s3, generating a state representation for predicting future resource demands; s4, initializing a reward function of key performance index weighted comprehensive evaluation; s5, generating an initial storage resource, computing resource and training resource allocation strategy; s6, continuously adjusting a reward function of the reinforcement learning model based on the self-supervised learning feedback signal; s7, dynamically adjusting a distribution scheme of the storage resources, the computing resources and the training resources through quick response of the resource scheduling framework; s8, optimizing resource allocation among a plurality of cloud computing nodes or platforms; s9, automatically identifying different stages of the current task through a self-supervised learning model; and S10, finally generating an optimal allocation scheme. According to the staged resource scheduling method, the condition of overload or insufficiency of resources is effectively avoided, and the task execution time is greatly shortened.

The invention relates to the technical field of communication, and discloses a multicast message processing method and equipment, which are used for improving the load balancing effect and forwarding performance of a multicast message and considering the internal resource occupation of the equipment. The method comprises the following steps: firstly, dividing a multicast message meeting a first preset condition into a logic frame on an uplink card, marking the multicast message based on a serial number of the logic frame to which the multicast message belongs, forwarding the multicast message marked with the serial number to a corresponding switching network card, and then switching the multicast message with the serial number on the switching network card. According to the number N of downlink line cards contained in a multicast group to which the multicast messages belong, the multicast messages are copied to obtain N parts of multicast messages, the N parts of multicast messages are forwarded to the corresponding downlink line cards, and finally, on the downlink line cards, the multicast messages are reordered according to the sequence of serial numbers of logic frames to which the multicast messages belong. And forwarding the reordered multicast message to a network.

The application discloses a distributed document analysis method, device, equipment and medium, the method comprises the following steps: obtaining a target to be analyzed document; extracting the content feature data of the target to be analyzed document; the content feature data is used to reflect the content complexity of the target to be analyzed document; according to the content feature data, the estimated time consumption of analyzing the target to be analyzed document is determined; based on load balancing, according to the estimated time consumption, the target analysis task of the target to be analyzed document is distributed to the target computing power node; so that the target computing power node executes the target analysis task to obtain the analysis result. Therefore, the content feature data of the document is used to estimate the analysis time, rather than relying on the file size to determine the estimated time consumption, which is adaptive to the time consumption fluctuation characteristics of different documents, improves the estimated time consumption accuracy, and based on load balancing, the estimated time consumption is used for computing power stage distribution, which improves the resource utilization and the load balancing effect of the system.

This invention discloses an adaptive load balancing method and system based on multi-dimensional time-series prediction, belonging to the field of communication network technology. The method collects network state information using in-band network telemetry and constructs a matrix, which is then input into a time-series prediction model to obtain predicted values ​​for multiple future time steps. For image streams, an optimization objective is constructed based on available bandwidth and stability measured by the coefficient of variation. An improved whale optimization algorithm is used to search for path weights, dividing the image stream into stream segment units for multi-path forwarding. For mouse streams, the port image stream strength is calculated at the switch end to select the forwarding port, and a fast feedback mechanism is triggered for the first packet. The source end adaptively adjusts the sending window based on queue depth and predicted link utilization. This invention effectively solves the load balancing problem of mixed mouse and image streams in data center networks through prediction-driven differentiated scheduling.

The invention relates to a graphene sponge composite material and a preparation method and application thereof. The preparation method of the graphene sponge composite material comprises the following steps: mixing a graphene oxide aqueous solution and an alkylamine organic solution to prepare a mixed solution; and soaking sponge in the mixed solution, and adding a reducing agent for hydrothermal reduction reaction to prepare the graphene sponge composite material. According to the preparation method of the graphene sponge composite material, the hydrophobicity and the oil absorbency of the graphene sponge composite material can be effectively improved, so that the separation effect and the separation efficiency of an oil-water mixture are effectively improved.

The application discloses a kind of DQA algorithm-based Citus automatic sharding rebalancing method and equipment, it is related to distributed database technical field, DQA algorithm-based Citus automatic sharding rebalancing method mainly includes: according to monitoring data, obtain database node cost proportion and load balancing situation;Predict key performance indicators using monitoring tools, get the load situation of cluster in future preset period;Using DQA algorithm, the cost of each shard and the relative capacity ratio of each node are obtained;According to the position of all shards, the cost of each shard, the relative capacity ratio of each node, load balancing situation and the load situation of cluster in future preset period, data migration is carried out.The DQA algorithm-based Citus automatic sharding rebalancing method and equipment provided by the application can improve the load balancing effect of the system and enhance the flexibility and adaptability of the system.

The invention belongs to the technical field of tunnel anchor cable construction, and particularly relates to a tunnel anchor cable accurate positioning construction and anchoring force detection method, which comprises the following steps of: acquiring track data in real time in a drilling process through a tilt angle sensor and a displacement sensor, and comparing a real-time drilling track with a preset drilling track in a three-dimensional geologic model point by point; specific numerical values and offset directions of horizontal deviation and vertical deviation are obtained according to a space calculation method in mathematics, a drill rod is adjusted by setting threshold values of the horizontal deviation and the vertical deviation, so that the drilling deviation is controlled, meanwhile, the drilling depth is corrected by combining comparative analysis of drilling pressure and a three-dimensional geologic model, and the drilling precision is improved. And the drilling depth defect caused by the attribute change of the surrounding rock is avoided.

This application relates to the field of activated carbon fiber technology, specifically disclosing a method for preparing highly adsorbent activated carbon fibers. This application uses oxidized modified viscose fiber as a precursor, which is then activated by plasma and subsequently seeded with nanocrystals to form a carbon-silicon composite intermediate. After carbonization, the silica is removed by hydrofluoric acid etching, resulting in a relatively continuous hierarchical porous structure. Plasma post-treatment is then used to adjust the surface properties of the activated carbon fiber surface and the pores. Compared to activated carbon fibers prepared using conventional phosphoric acid activation methods currently available on the market, the activated carbon fibers obtained in this application improve the mass transfer efficiency of macromolecular pollutants through their hierarchical porous structure. Furthermore, the pores, after plasma post-treatment, can fully utilize their adsorption and binding capacity for polycyclic aromatic hydrocarbons (PAHs). Therefore, the activated carbon fibers obtained in this application have a higher adsorption capacity for PAHs.

The invention belongs to the technical field of electrochemical energy storage, and relates to a high-performance flexible self-repairing zinc ion battery and a preparation method thereof. A zinc-vanadium-based compound is used as a positive active matter, a carbon substrate is used as a carrier, and composite hydrogel containing a self-repairing monomer is used as electrolyte; the flexible self-repairing zinc ion battery is prepared through an integrated process of carbon substrate activation, active matter thermal loading with a solvent, self-repairing hydrogel preparation and battery assembly. Wherein active sites are introduced into the carbon substrate through dilute acid-hydrogen peroxide mixed solution etching or plasma treatment, an active matter is accurately loaded on the carbon substrate by adopting a solvothermal method, the hydrogel takes PVA / gelatin as a matrix and DAAM as a self-repairing cross-linking agent, CMC-Na / CS is supplemented to enhance flexibility and Li < + > is doped to improve ion conduction, and finally collaborative optimization of battery capacity, self-repairing and flexibility is realized. Active matter loading and carbon substrate modification are synergistically regulated and controlled, and the limitation that active matter loading and substrate modification are carried out step by step in traditional preparation is broken through.

The invention relates to the technical field of communication, and discloses a load balancing method, device and equipment for a data packet, which are used for solving the problem of low reordering efficiency of a downlink line card caused by high reordering complexity of the downlink line card in a load balancing method in the related technology. In the embodiment of the invention, the plurality of data packets are divided into different logic frames according to the lengths of the data packets, and the serial numbers of the logic frames and the logic frame end marks EOP are marked for the data packets meeting the conditions, so that the data length difference between the logic frames is reduced, the clear upper bound of the length of the logic frames is ensured, and the data transmission efficiency is improved. The load balancing effect and the applicability in different scenes and hardware are improved, the downlink line card can timely determine whether forwarding of the data packet in the logic frame is ended or not through the logic frame end mark EOP, the data packet forwarding efficiency is improved, the end-to-end data packet forwarding time delay in the device is reduced, the rearrangement complexity of the downlink line card is reduced, and the user experience is improved. And the reordering efficiency is improved.

The present disclosure relates to a graphics processing method, a graphics processing device and a computing device. The graphics processing method comprises: dividing a frame to be rendered into a plurality of tiles, wherein the frame to be rendered comprises a plurality of primitives, each primitive covering at least one tile; determining a tile-level splitting mode for at least one tile of the plurality of tiles based on a number of primitives covering the tile; obtaining a frame-level splitting mode for the frame to be rendered; enabling tile splitting for at least part of the plurality of tiles based on the tile-level splitting mode and the frame-level splitting mode, wherein the tile splitting comprises splitting one tile into a splitting number of tile regions corresponding to the tile-level splitting mode or the frame-level splitting mode; and assigning the plurality of tile regions obtained by the tile splitting to a plurality of tile processing cores, wherein each tile processing core is configured to perform a tile processing operation for the assigned tile region. The method helps to provide a flexible splitting mode determination manner and improve graphics processing efficiency.

The invention discloses a self-adaptive computing power distribution control method and device and a storage medium, and relates to the technical field of data processing, and the method comprises the steps: extracting the computing complexity, the video memory demand and the communication overhead corresponding to a computing unit; setting a threshold parameter according to the calculation complexity, the video memory demand and the communication overhead, and clustering and integrating the calculation units to generate a plurality of sub-model modules; performing matching deployment on the sub-model modules and heterogeneous hardware nodes based on a deployment strategy, and recording state information of each node after deployment is completed; state indexes in the state information and the historical performance data are predicted and processed through exponential smoothing, and the dynamic weight value of each node is calculated in combination with the bottleneck sensitivity coefficient; and generating a node priority list according to the dynamic weight value, and allocating the hardware type and the task proportion of the sub-model module according to the node priority list and a task allocation optimization mechanism so as to complete the self-adaptive scheduling of the sub-model module. The problem of low efficiency is solved, and the resource utilization rate is improved.

The application belongs to the technical field of electronic chart drawing, and particularly relates to a multi-thread rendering method and system for electronic chart drawing, which comprises the following steps: when receiving a plurality of original charts sorted in a preset drawing order, it is determined whether the original charts need to be split based on a preset demand threshold, and the original charts are added to a rendering queue; based on a preset thread pool configuration strategy, thread resources are dynamically allocated from a thread pool to perform multi-thread parallel off-screen rendering on the original charts and the split sub-charts in the rendering queue; when the off-screen rendering of all the charts and the sub-charts is completed, the rendering results are spliced into a complete chart, and the complete chart is synchronously displayed on a screen according to the preset drawing order. The application has the effect of shortening the time consumption of rendering large-size charts.

A conveying structure of corn husking equipment comprises a first conveying frame. The first conveying belt is rotatably arranged in the first conveying frame and used for conveying corn cobs; the rotatable baffle is arranged at the tail end of the first conveying belt, and a limiting channel with a gap smaller than the diameter of a corn cob is formed between the baffle and the first conveying belt; the second conveying frame is vertically fixed to the tail end of the first conveying frame and located below the limiting channel; the corn cob conveying device is novel in structure, the limiting channel formed between the rotatable baffle and the first conveying belt can effectively limit the movement track of corn cobs, and it is ensured that the corn cobs enter the subsequent conveying process in the specific posture and direction; when the speed of the first conveying belt is high, the baffles can block and buffer corn cobs, so that the corn cobs well fall to the middle position of the second conveying belt, and the side wall of the second conveying belt is prevented from being impacted; and the baffle can rotate flexibly, the balance and rotation resistance of the baffle can be adjusted by adjusting the number of the magnetic attraction pieces, the working performance of the limiting channel is optimized, and the conveying speed of the first conveying belt is adapted.

The invention relates to the technical field of office automation management, in particular to an intelligent guiding and scheduling method and system for enterprise printing behaviors, and the method comprises the steps: obtaining a printing request of a user, and analyzing the printing request to obtain printing parameters; determining one or more candidate printers according to the printing parameters; scoring the candidate printers from the aspects of cost, equipment health degree, efficiency and user convenience, and selecting the candidate printer with the highest comprehensive score as a target printer of the printing task; and issuing a printing task to the target printer. According to the method and the device, the cost can be checked before printing, waste is avoided, risks such as equipment paper jam, ink shortage or network faults can be avoided as much as possible in the printing process, and the experience degree is improved. And meanwhile, the load balance of the printer can be improved.

The invention discloses a display panel and a display device. The display panel comprises a substrate, a gate drive circuit and a plurality of sub-pixel circuits. A grid driving circuit of the display panel comprises a plurality of driving units which are arranged in a cascade mode, effective driving units in the driving units are electrically connected with sub-pixel circuits, virtual driving units in the driving units are disconnected with the sub-pixel circuits, and the virtual driving units do not have an output function. The dummy driving units may input shift signals to the corresponding active driving units. Therefore, the partial structure of the virtual driving unit is similar to that of the effective driving unit, so that the etching uniformity of the gate driving circuit can be improved, the deviation of the line width and the thickness of the lines formed by etching in different areas of the gate driving circuit is reduced, and the reliability of the gate driving circuit is improved. And the load uniformity of the shift signals accessed by the plurality of effective driving units can be improved, so that the stability of the display panel can be improved.

The invention relates to the field of data management, in particular to an intelligent logistics cloud platform data management system and method. The method comprises the following steps: firstly, carrying out data preprocessing on collected original data and bound timestamps and position coordinates to obtain standardized data; based on the standardized data, introducing a space-time grid XOR perturbation coding algorithm to obtain space-time characteristic values; and then, based on the standardized data and the space-time characteristic values, introducing a linear consistency Hash variant algorithm based on space-time disturbance to obtain a main Hash value and an auxiliary virtual Hash value, and copying and storing the standardized data to corresponding physical data storage nodes. The technical problems of data load imbalance, hotspot node overload, performance bottleneck, single-point fault risk and insufficient fault-tolerant capability are solved.

The embodiment of the invention provides a query routing method and device, equipment, a storage medium and a program product, and relates to the field of database management. The method comprises the following steps: determining a classification label of a first SQL statement according to execution time information of a first structured query language SQL, wherein the classification label comprises a blocked SQL, a high-frequency SQL or a common SQL; determining a first routing strategy corresponding to the first SQL statement according to the classification label and node state information, wherein the node state information is used for indicating SQL statement response time of each data node in the data node cluster; and determining a corresponding target data node according to the first routing strategy, and routing the first SQL statement to the target data node. According to the method provided by the invention, the load balancing capacity for query request routing allocation is improved.