63results about How to "Resource balance" patented technology

A method and apparatus for automatic provisioning steps using a physical computing block-based infrastructure platform and a virtualized environment is discussed to provide automatic elasticity. Running applications may be monitoring for increased workload, which may trigger a proactive and / or reactive response. The triggered proactive or reactive response includes executing a remediation action upon workloads exceeding set thresholds, as set by a pre-determined monitoring policy. The remediation actions may include the provisioning of additional virtual or physical computing resources to reduce the workload below the set threshold.

Authentication information of a first node is received which are used for verification of remote nodes' authentication attempts, and a token is received from at least one remote node. Authentication of the at least one remote node is performed based on the token, and, if the authentication is successful, rules of a firewall are set through which all communication towards a first node goes to accept packets from an address of the remote node to the address of the first node.

The invention discloses a method for guaranteeing the end-to-end QoS in an SDN network, comprising the following steps: (1) for each new data flow arriving at an SDN network, an SDN network controller periodically collects network status information; (2) the SDN network controller calculates the cost of each of all alternative paths for transmitting the new data flow according to the collected network status information, and determines an optimal transmission path; and (3) the SDN network controller packages the information of the optimal transmission path into a flow entry and issues the flow entry to a switch node of the SDN network, and the switch node forwards a received data packet according to the flow entry. According to the invention, an OpenFlow switch queue mechanism is designed, and the queue status of the switch is monitored in real time through the controller. When a new data flow arrives, a minimum-cost path is selected to transmit the data flow according to the transmission delay of the link on the path and the queuing delay of the switch node queue as well as the congestion situation of the current link.

A method and system for trading electric power on a spot market and dynamically matches bids and asks and routes the electric power in accordance with the matches to effect the settled trades. A control node is arranged for receiving bids and asks via a wide area network. The control node is also connected to a transmission system and a central control of the transmission system to dynamically switch the transmission system to effect the matched bids and asks.

A method and system for trading electric power on a spot market and dynamically matches bids and asks and routes the electric power in accordance with the matches to effect the settled trades. A control node is arranged for receiving bids and asks via a wide area network. The control node is also connected to a transmission system and a central control of the transmission system to dynamically switch the transmission system to effect the matched bids and asks.

Techniques and systems, including computer program products, for providing timely file change notification. In general, in one implementation, the technique includes a recorder that records changes to one or more files in a file system and a broker that receives and responds to change notification request from external applications. The recording of changes can be system- initiated and can pertain to changes occurring anywhere in the file system. The recorder and broker can perform asynchronously from each other and can persist independently of the external applications.

The invention discloses an image recognition method, device and equipment based on a lightweight network model. The image recognition method comprises the following steps: S1, obtaining a to-be-recognized target image; s2, inputting the target image into a trained lightweight network model; and S3, classifying the target image by using the trained lightweight network model, wherein the process of obtaining the lightweight network model comprises the following steps: S21, constructing a variant convolutional neural network without a full connection layer; s22, classifying the images through a softmax classifier, and updating the weight of the convolutional layer; s23, extracting features of the image again by adopting the variant convolutional neural network with updated weight, and carrying out standardized processing on the features; and S24, generating feature nodes and enhancement nodes from the standardized features according to a construction method of a width network, determining the final feature nodes and the number of the enhancement nodes, and constructing a lightweight network model.

A multi-radio frequency multi-channel wireless Mesh network resource cross-layer optimizing method aims to solve the problem of wireless resource cross-layer optimizing of a wireless Mesh network. For the multi-channel multi-radio frequency wireless Mesh network, cross-layer optimizing among channel distributing, route distributing and speed distributing is considered, the complex communication problem is converted into a convex optimization problem, the original optimizing problem is divided into three sub problems by utilizing a Lagrangian dual method, and the simplified problems are solved in the wireless Mesh network in a distributed mode, thus obtaining the global optimal solution. A typical WMN (wireless mesh network) route protocol is compared, analyzed and summed up, and by combining with the cross-layer optimization theory, a route protocol based on comprehensive criteria and suitable for integrated environment of internet of things is provided.

The invention provides a resource sharing system and a resource sharing method. The resource sharing system comprises a resource obtaining unit and a resource sharing unit. The resource obtaining unit obtains resources of all service systems and identifies the obtained resources according to resource sources and type information. The resource sharing unit determines use limitation of a log-in user to the resources according to the identity identification of the log-in user and / or resource identifications. The invention provides a resource sharing platform which can reasonably and effectively maintain and manage the resources, matching and rich resources are provided for resource users without limitation of the service systems, and resources of the service systems in areas are balanced.

A routing method based on differentiated services of the internet of things relates to design of the routing protocol of the internet of things and is mainly used for providing differentiated services aiming at different services. When the internet of things has audio and video information and probably has text information at the same time, different applications require different QoS, at the time, the designed routing protocol, as required, can provide differentiated services aiming at different services, and effective utilization of resources is simultaneously realized in the total network. The method provides the routing protocol based on the differentiated services of the internet of things, sets the dynamic routing scheme according to the service level, sets the service level according to the service application and completes routing aiming at the services by spreading interest and setting up the route, thus prolonging the life of the internet of things and improving the harmony and the service quality of the internet of things.

The invention provides a resource leveling method and device between cells. The resource leveling method between the cells comprises the following steps: acquiring measurement report MR data and network load indexes of all cells in an area to be analyzed; determining congested cells in the area to be analyzed according to the network load indexes; determining a cell, which needs parameter configuration information adjustment, from adjacent cells of the congested cells as a target adjacent cell according to the MR data of the congested cell; and adjusting the parameter configuration information of the congested cells and the target adjacent cell, and realizing the resource leveling between the cells in the area to be analyzed. By adopting the technical scheme of the invention, resource leveling between the cells can be realized automatically for the cells in the area to be analyzed according to the acquired parameter configuration information and the network indexes of the cells, so that the complexity of manual operation can be avoided.

The invention relates to a resource manage system of media resource server and relative method, wherein said system comprises media resource server (MRS), media resource manger (MRM), and media processor. MRM based on stored MRS resource state refreshes the MRS resource; the media processor requests MRM to distribute right resource; MRM based on request and preset strategy selects MRS and distributes the MRS address to the media processor; the processor via the address information requests to communicate with MRS; when the processor completely resource utilization, MRS releases the distributed resource, to be used again.

The invention discloses an ultrasonic department automatic coupling probe assembled device, and belongs to the technical field of medical devices. The ultrasonic department automatic coupling probe assembled device comprises a housing; a frame is arranged on a top left side of the housing; and a coupling agent bottle is coupled to an inner cavity of the frame; an inflatable airbag is rotatably arranged on the top of the frame; the inflatable airbag sleeves the top of the coupling agent bottle; a through hole penetrating through the top of the housing is formed in the bottom of the frame; an inner edge opening of the through hole is sleeved with a hose; a forward and reverse motor is arranged on the center of the inner cavity of the housing; a rotating shaft is arranged on a top power output end of the forward and reverse motor; an outer part of the rotating shaft is sleeved with a rotating drum; and the hose is wound around an outer wall of the rotating drum. The inflatable airbag squeezes the coupling agent bottle, a coupling agent in the coupling agent bottle is squeezed into the hose, and the coupling agent enters a liquid storage chamber of the probe. The ultrasonic departmentautomatic coupling probe assembled device is simple to operate, saves the operation time, and can bring convenience to medical personnel.

The invention provides an intelligent analysis equipment resource adjustment method and device. The method comprises the following steps: acquiring state information of intelligent analysis equipmentaccessed to a monitoring platform and application information deployed on the intelligent analysis equipment, wherein the state information comprises a resource occupancy rate and the number of boundcameras; after the camera is accessed to the monitoring platform, selecting bound intelligent analysis equipment for the camera according to the state information and the application information of the intelligent analysis equipment accessed to the monitoring platform; and sending a command of binding the camera to the selected intelligent analysis equipment. Therefore, the resources of the intelligent analysis equipment can be distributed in an automatic mode, the processing efficiency is improved, and the low efficiency of manual processing is avoided.

The invention discloses a data processing method and a processor based on 3072-point fast Fourier transformation. The data processing method comprises the following steps: storing 3072-point data into a data storage module according to a preset mapping relationship; reading 16 pieces of data in parallel from the storage module, carrying out 3-point DFT (Discrete Fourier Transformation) operation, and storing a result into the data storage module according to a home position after the operation is finished; and reading 32 pieces of data in parallel from the data storage module, carrying out 1024-point DFT operation, and storing the result into the data storage module according to the home position after the operation is finished until the 3072-point fast Fourier transformation is finished.

The invention discloses a data processing method and equipment. The method comprises the following steps of obtaining a data sample set including a training data sample set and a test data sample set; respectively sending a parameter combination and a data sample set to a computing element matched with a resource indication attribute of the parameter combination for each parameter combination of a to-be-processed analysis model in order to make the computing element utilize the training data sample set and the parameter combination to train to obtain a sub analysis module of the analysis model; utilizing the test data sample set to score the parameter combination corresponding to each sub analysis model to obtain a score result of each parameter combination; and determining the parameter combination which meets set conditions according to the score result, selecting an optimal parameter combination from global parameters and establishing the analysis model with the reliable performance. When the global parameters are analyzed, a heterogeneous computing cluster system is adopted, system resources are effectively used and the utilization rate of the system resources is improved.

The invention discloses an integrated machine for farmland planting management, belonging to farmland management machines. The integrated machine comprises high patterned paddy wheels, a traveling system, a power system, a steel structure platform, a sowing fertilizer applicator, a pesticide spraying device and a water spraying device, wherein the steel structure platform is connected with the high patterned paddy wheels through the traveling system, and the power system, the sowing fertilizer applicator, the pesticide spraying device and the water spraying device are connected to the steel structure platform. The integrated machine has the advantages that the multiple agricultural implements are integrated in a whole body, and the integrated machine can move leftwards, rightwards, forwards and backwards in various fields; seeds are uniformly sown in a scattered mode without damage through wheeled full-coverage sowing and fertilizing; a spray head and a blade surface can be arbitrarily adjusted according to wind power, pesticides are saved, the effect of the pesticides is improved, the harms caused by drifting to the environment are reduced, the pesticides can be quickly applied, and the labor force is saved. The water spray is used for preserving the soil moisture and keeping a full stand of seedlings, water is saved, farmers can easily, quickly and efficiently finish the whole operation process of crops with high quality without stepping into croplands, the operation amplitude is large, and farmlands are managed and operated in a factory-like mode, so that resources are saved and pollutants are reduced.

The invention relates to a resource scheduling method and device, an electronic device and a storage medium. The method comprises: calculating the resource allocation amount of each queue according tothe idle resource amount of a distributed cluster, the current resource occupation amount of each queue in the distributed cluster and the basic configuration information of each queue, and the basicconfiguration information being used for ensuring that the idle resource amount is allocated to each queue in a balanced mode; and according to the resource allocation quantity of each queue, allocating the nodes in the distributed cluster node pool to each queue. Therefore, according to the embodiment of the invention, before nodes in a distributed cluster node pool are distributed to queues ina distributed cluster, the number of resources allocated to each queue in the distributed cluster is calculated in advance. It is ensured that the amount of resources allocated to each queue is relatively balanced, and then a batch of nodes are concurrently obtained from a node pool according to a calculation result to perform actual resource allocation on each queue, so that the resource scheduling performance of the whole cluster is improved.

The invention discloses a state-based VPN server intelligent distribution method, and the method comprises the steps: carrying out the sampling of the state of a VPN server cluster, obtaining the performance influence factors of a server, and building a historical model; sampling the performance of the server in real time; and obtaining a predicted value of a to-be-added user according to the constructed historical model, associating the predicted value with the real-time sampling performance to obtain the predicted performance, and allocating the server with the optimal predicted performance.And by adopting a machine learning method, the resource utilization rate of the VPN server in the target server cluster is comprehensively improved by taking the downloading speed as an index according to each real-time and historical performance index of the server. The optimal line is dynamically distributed for each newly used user, the server resource utilization rate is improved, server resource limiting waste is reduced, and the downloading speed of the user in the using process is increased.

The invention relates to a method and a system for balancing resources in a game world. The method comprises the following steps of: creating a son world attached to a mother world by using an official virtual world; and then configuring mother resources in the mother world, which are used as first son resources, to the son world for use. According to the invention, permissions of creating the world and configuring the first son resources are open to players; and resources of the official mother world can be taken into the son world to create an own world in the son world so as to implement the circulation of the resources in the mother world and the son world and balance the resources among different worlds.

The invention relates to a device for sintering a magnetic material. The device is characterized in that the device comprises a sintering furnace body 1, a sintering furnace thermal-insulating layer 2, a sintering ferrite magnetic core blank placing platform 3, a lifting platform guide rail 4, a lifting platform 5, a rotatable furnace bottom 6, an air curtain temperature-insulating device and a multipurpose heat energy recycling system. In the device, high-heat air can be prevented from penetrating through a sealing structure by a small amount of the air so that damage caused by high heat to accessory equipment and workshop staff is prevented. With the adoption of the multipurpose heat energy recycling system, injected air can be preheated by the quantity of heat of the exhausted high-heat air so that the surface of a magnetic core can not be cooled too fast, the effect of saving energy is achieved, and the damage to the structure of a mixed gas chamber by the high-heat air can be reduced. 30 to 500 DEG C of heat air can be supplied by a heater to replace the heating action of silicon molybdenum rods in a furnace at different stages so that the service life of the silicon molybdenum rods is prolonged. Sintered magnetic core is driven by the adjustable rotation furnace bottom to rotate. The production efficiency and the product quality are improved, and resources and energy canbe saved.

The invention discloses a cell scheduling method, system and device and a storage medium. The method comprises the following steps: acquiring resource historical data of each cell, and predicting future operation indexes of the cells by using a prophet algorithm, judging load conditions of the cells in a future time period, calculating matching degrees among the cells, respectively selecting optimal matching cells for the cells, performing complementary scheduling between the cells and the optimal matching cells, and the like. Future operation indexes are predicted by using a prophet algorithm, so that an accurate prediction result can be provided; the optimal matching cell of each cell is determined according to the prediction result, more time exists between each cell and the optimal matching cell of the cell to be in the complementary state, complementary scheduling is carried out between each cell and the optimal matching cell of the cell, the higher success rate can be achieved, and the effect of resource and load balancing is better achieved. The method is widely applied to the technical field of wireless communication.

The invention discloses a global system for mobile communications (GSM) double frequency co-located station cell resource leveling method based on gigabyte (Gb) interface signaling. According to the method, double frequency co-located station coverage cells in a GSM network are screened out according to a base station foundation database at first; then, Gb interface signaling data is collected, rate values under the co-located station double frequency cells are counted, and the configuration number of packet data channels (PDCH) under the condition that the co-located station double frequency cells meet requirements of different user sensing is calculated according to the rate value under the co-located station double frequency cells; and at last, the calculated PDCH number is compared with PDCH configuration of an existing network, and configuration for co-located station double frequency cells with unbalanced business is achieved. According to the method, cell resource balance is achieved through reasonable configuration for cell PDCH resources, configuration information of the cells is just changed, conditions of reselection parameters, coverage and power are not changed, influences on network quality, performance and test indexes of a speech network are little, and reasonable configuration for the cells can be achieved according to the level of user sensing.

The invention provides a signal transmission method for controlling between a plurality of BSCs and a plurality of MSC servers in the MSC media gateway of the mobile soft switching network. According to the invention, a media gateway includes a plurality of groups of ports, namely divided into a plurality of virtual media gateways logically, wherein the virtual media gateways share the function and the resource of the media gateway, thereby realizing the communication between the plurality of BSCs and the plurality of MSC servers. According to the method and the device of the invention, the resource sharing and the load balance are effectively realized, the number of the mobile management is reduced, the position updating and switching are reduced, the complexity of the network planning is reduced, and the networking is convenient without changing the MSC server and the BSC.

The invention discloses a federated learning-based model training method, device and equipment and a storage medium. According to the invention, a broadcast training request is sent to each client device through a server, and each client device determines the bid of the respective client device according to the received broadcast training request and a bidding strategy, and sends the bid of the respective client device to the server; then the server selects a preset number of target client devices according to the received bid of each client device, and sends identifiers of the target client devices and a first global model to each client device; if the identifier of the client device is matched with the identifier of the target client device, the client device serves as the target client device, and the target client device trains a first global model according to a local sample data set of the target client device; the problem of low model training efficiency based on federal learning in the prior art is solved.

The invention provides a system and a method for realizing memory pool expansion of a high-density server. The system comprises a server mainboard board card and a memory expansion card; the server mainboard board card is provided with a CPU, the CPU is provided with an integrated memory controller and a PE port, and the integrated memory controller is connected with an integrated memory; the memory expansion card is provided with a memory rapid controller, and the memory rapid controller is connected with an expansion memory; and the memory fast controller is connected with a PE port of the CPU. According to the system and method for realizing memory pool expansion of a high-density server, memory expansion is achieved through cooperation of the CPUs and the memory rapid controller; the invention can be used for a single CPU or multiple CPUs, the original scheme that only server board cards can be added for memory adding is avoided, cost is reduced, cache consistency between the CPUs can be improved, the PE port resources of the CPU are more balanced, and the performance of the CPU is developed to the greatest extent.

The invention discloses a video transcoding equipment scheduling method and system, being applied to an articulated naturality web. The video transcoding equipment scheduling method comprises the following steps: acquiring a video transcoding equipment information list; acquiring running state information of each video transcoding equipment based on the identification information of each video transcoding equipment stored in the list; calculating the resource occupancy rate of each video transcoding equipment according to the operation state information of each video transcoding equipment; andscheduling the video transcoding device with the lowest resource occupancy rate to process the video transcoding request. Based on identification information of each video transcoding equipment stored in a video transcoding equipment information list, the video transcoding equipment scheduling method obtains operation state information of each video transcoding equipment, calculates the resourceoccupancy rate of each video transcoding equipment according to the resource occupancy rate, and schedules the video transcoding equipment with the lowest resource occupancy rate to process the videotranscoding request, thereby realizing unified management of resource occupancy of each video transcoding equipment, enabling resource occupancy of each video transcoding equipment to be controllable,balancing the resource occupancy rate of each video transcoding equipment, and improving video stream transcoding efficiency.

The invention discloses a microwave normal temperature wet oxidation wastewater advanced treatment method, belonging to the technical field of wastewater treatment. The method comprises the followingsteps: removing suspended matters contained in wastewater to be treated by using a pretreatment air flotation device with specific results; putting the wastewater with the suspended matters removed into a microwave oxidation reactor equipped with an oxidation trigger, introducing oxygen, and performing the whole reaction process under the microwave condition with the microwave power of 50W to 200W; and precipitating and filtering the reaction product obtained after the reaction treatment. According to the invention, water molecules are rapidly vibrated by microwaves, pollutants in the water are promoted to undergo combustion reaction with artificially added oxygen and oxidants triggering the reaction, and the oxidation decomposition of organic pollutants is realized, so that the problems that the safety of the reaction and the high construction and operation cost can be realized only when the water is above the super critical point under high temperature and high pressure in the conventional wet oxidation process are solved.

The invention relates to a data security processing method based on big data. The method comprises the following steps: S1, obtaining big data from a terminal; S2, storing and positioning big data; and S3, performing transparent filtering on the big data, and storing the filtered big data in the positioned big data node. The dynamic and static combination selection process is adopted in the expansion of the set; Through unified management of third-party firmware, the security and adjustment flexibility of the filtering rule are improved, the filtering rule can be dynamically adjusted at any time according to management of big data nodes, and a transparent filtering layer is further arranged in a mode of independent pluggable hardware; And the safety of the terminal equipment is ensured through pluggable hardware.