46results about How to "Achieve optimal distribution" patented technology

The invention provides a business resource scheduling method and apparatus. The method is applied to an OpenStack controller. The method comprises: periodically detecting performance parameters of resource nodes; determining allocable resource nodes in the resource nodes according to the detected performance parameters; and receiving a resource acquisition request of a user, allocating an optimal resource node for the user from the allocable resource nodes according to the resource acquisition request and a preset scheduling policy, and returning the optimal resource node to the user. Through the business resource scheduling method and apparatus, the optimization distribution of business resources in an OpenStack framework is realized, the resource scheduling is flexibly and dynamically performed, and the utilization rate of resources is increased.

The invention relates to a spectrum resource allocation method based on utility function and price mechanism; the spectrum resource allocation method is suitable for a virtual cellular network in wireless communication. The method comprises the steps of firstly, obtaining signal gains from a base station by user terminals; calculating the number of optimal sub-carriers which are allocated to all the user terminals serviced by a cellular network operator and calculating the number of optimal sub-carriers of all the user terminals serviced by an nth virtual service provider by a network virtualization controller; calculating the spectrum resource supply amount of the cellular network operator and the demand amount of all virtual service providers for the spectrum resource by the network virtualization controller; judging whether the data is in accordance with the requirements or not by the network virtualization controller; if yes, obtaining the optimal spectrum resource allocation results of all the user terminals; if not, continuously carrying out iterative operation. The method is simple and good in allocation effect, and the aim of maximizing the incomes of the cellular network operator and the virtual service providers can be achieved.

Embodiments of the invention disclose a network switching control method and a system thereof. The method comprises the following steps that a P-GW reports wireless congestion information of a base station to PCRF equipment; the PCRF equipment acquires a network access and switching strategy corresponding to a congestion severity according to the congestion severity corresponding to the received wireless congestion information of the base station, wherein the strategy includes a user signing level, a position and time information about whether to allow accessing an assigned network and a user signing level, a service type, a position and time information needing to be switched from the assigned network to the other network; according to the network access and switching strategy, if a user flow needs to be switched to the other network from the assigned network, an offline notification message of cutting off assigned network connection of the user is sent to the P-GW; the P-GW sends a bearing deletion request to a S-GW; the S-GW forwards the bearing deletion request to a MME; and the MME makes the user terminal of the user initiate a network switching process. By using the method and the system, intelligent switching of flow domains and optimization distribution of network resources can be realized.

The invention relates to the field of wireless communication, and provides a method for allocating member carrier waves under a carrier wave aggregation mechanism. The method is implemented by the following steps: a base station sends reference signals to positions of particular resource grains of all the member carrier waves; user terminals measure the power of the reference signal received on each member carrier wave and report the received power of the reference signal of each membrane carrier wave to the base station; and the base station allocates the desired number of the member carrier waves to the user terminals through the combined consideration of the received powers of the reference signals of all the user terminals on the member carrier waves and an average rate of users, and the configuration result is sent to the user terminals through downlink radio resource control (RRC) signaling. The method provided by the invention can make effective use of the resources of the member carrier waves so as to improve system throughput and reduce packet loss ratio, and especially being capable of remarkably promoting cell-edge user performance and ameliorating system fairness.

The invention discloses a software-defined drone cluster network control method, comprising the following steps: firstly dividing the SDN control domain according to the mission requirement and coverage area of the UAV, sorting the nodes with the neighbor densities and the connection distance values respectively by calculating the neighbor density and connection distance of each node, adding the sort numbers to obtain a total sort number of the nodes, obtaining an area vertex set according to the total sort number value, dividing the network nodes into a plurality of SDN control domains according to the principle of shortest area vertex distance, then centrally controlling the cluster network at the ground control station and the SDN controller deployed in the SDN domain, and performing functions such as task monitoring, conflict management, relay management, data forwarding, and route calculation by the software-based controller, so that the deployment of the controller can be flexibly adaptive to the change of the network topology, which facilitates flexible management of local network devices, reduces UAV network device complexity and communication delay, and enables stable interconnection of UAV nodes.

The application discloses a dynamic distribution method and device for server threads. The method comprises: allocating first server thread quantity of each interface by a server through utilizing interface information corresponding to each interface; after receiving an RPC request message, determining currently started second server thread quantity of an interface corresponding to the RPC request message; if the second server thread quantity is less than the first server thread quantity corresponding to the interface, starting a server thread for the RPC request message by the server; and if the second server thread quantity is equal to the first server thread quantity corresponding to the interface, refusing to start the server thread for the RPC request message by the server. According to embodiments of the invention, the server can reasonably allocate the server thread for each interface, so that the utilization rate of the server threads is increased as far as possible, and the optimal allocation of the server threads and the maximization of server performance are realized.

The invention discloses an edge calculation-based virtual operation platform operation control method, which comprises the following steps of: S1, constructing a collaborative management and control framework of an edge internet-of-things agent and a cloud platform collaborative service, the collaborative management and control framework comprises a service terminal, an edge internet-of-things agent for managing the service terminal and a cloud platform for managing the edge internet-of-things agent; and S2, unloading and migrating the calculation task of the service terminal to the edge internet of things agent by using a calculation resource collaborative unloading method. According to the method, the calculation task of the service terminal is unloaded and migrated to the edge internet of things agent by constructing the collaborative management and control framework and utilizing the resource collaborative unloading technology, so that the purposes of improving the equipment performance, reducing the equipment energy consumption, reducing the network congestion and the like are achieved.

The invention discloses a data processing system and method based on a cloud computing platform, and relates to the technical field of a data processing system and method of a cloud computing platform. The data processing system comprises the cloud computing platform and a client, the cloud computing platform comprises a processor cluster, a server cluster, a cloud storage node and a load balancer, the client is in communication connected with the cloud computing platform through an Ethernet, the processor cluster comprises a plurality of cloud processing nodes, two arbitrary cloud processingnodes are connected in a communication manner, the server cluster comprises a plurality of cloud computing nodes, two arbitrary cloud computing nodes are connected in a communication manner, and the cloud storage node is in communication connected with the processor cluster and the server cluster. According to the system, a cloud processing node information sheet and a cloud computing node information sheet are arranged in the load balancer, cloud processing nodes and cloud computing nodes are monitored, data optimal distribution is achieved, and the system solves the problem of poor load balancing of data processing of an existing cloud computing platform.

The invention relates to a hybrid multiplexing passive optical network (PON) overall resource efficient allocation method, and belongs to the technical field of optical communication. The method comprises the steps of firstly introducing a software defined network (SDN) with a concentrated control capacity into a PON to achieve concentrated control and optimization on allocation of multiple optical line terminal (OLT) resources; then using a fuzzy neural network prediction model to reduce time delay generated by information interaction between the OLTs and a controller, and then allocating the resources with reasonable sizes to the OLTs according to self-adaptive elastic weight coefficients allocated to the OLTs, thus improving a resource utilization rate among the OLTs; and at last, improving the resource utilization rate in each OLT by changing an information sending position of the last optical network unit report (ONU REPORT) on each wavelength, and by using a light-load ONU residual bandwidth and cycle idle time slot dual residual bandwidth re-allocation dynamic bandwidth allocation algorithm. According to the method of the invention, the PON overall resource efficient allocation is achieved, the network time delay is reduced, and the resource utilization rate is improved by controlling the overall resources in a concentrated manner, and optimizing resource configuration among the OLTs and in the OLTs in a united manner.

The embodiments of the invention provide a method and a device for resource allocation of a satellite system. The method comprises the following steps: a base station receives request information froma terminal; the channel type and the time slot number TsLen are determined according to the request information; all the carriers of the point beam of the satellite system are traversed and a targetcarrier list is generated according to the channel type, the time slot number TsLen and a preset resource allocation mode; the carriers in the target carrier list are sorted by priority according to apreset rule to obtain the carrier with the highest priority; the carrier with the highest priority is determined as a target carrier; and TsLen continuous slots are allocated for the terminal on thetarget carrier. According to the embodiments of the invention, the target carrier list is generated according to the preset resource allocation mode, the carriers in the target carrier list are sortedby priority to obtain the carrier with the highest priority, the carrier with the highest priority is determined as the target carrier, and time slots are allocated on the target carrier. Therefore,optimal allocation of the resources of the satellite system can be realized.

The invention provides a scheduling method, a scheduler, a storage medium and a system, and belongs to the technical field of communication. The scheduling method comprises the steps: acquiring an incidence relation graph and data distribution information, wherein each node in the incidence relation graph refers to one piece of data, and each directed edge is used for representing an operation request for calculating according to the data referenced by a source node to obtain the data referenced by a target node; according to a preset node sorting strategy, sequentially positioning the operation requests corresponding to the traversed nodes to any server where the data indicated by the traversed nodes are located; and sequentially scheduling at least one job request represented by at leastone directed edge to the positioned server. For the scheduling method, the incidence relation graph is used for representing the incidence relation between the data and the corresponding relation between the operation requests and the data, and the data distribution information is used for representing the data distribution condition, so that cross-node data transmission can be reduced, the operation execution time of the whole operation request is shortened, and the calculation efficiency is improved, and the system performance is improved.

The invention discloses a monitoring point layout optimization method for radio environment monitoring. The method comprises the following steps: discriminating areas, where points cannot be distributed, and areas, where points can be distributed, in a target area, discretizing a boundary of the target area and boundaries of the areas, where the points cannot be distributed, in the target area, setting fixed point charges for discrete points, randomly arranging monitoring points in the areas, where the points can be distributed, in the target area, setting free point charges for the monitoring points, adjusting positions of the monitoring points, analyzing forced conditions of the free point charges, and, when the free point charges of the monitoring points are at a force balance state, determining positions of the current free point charges as the best monitoring point positions. Through the optimization method put forward by the invention, the monitoring points can be rationally distributed in the areas where the points can be distributed and can also avoid the areas where the points cannot be distributed.

The invention relates to a real-time security induction method for an automated terminal AGV group. The method comprises steps that firstly, an automated terminal road network AGV traffic flow model is designed, a security induction model for the AGV group is established, on the basis of the security induction model, the model prediction control framework concept is utilized to design the real-time security induction strategy to guide safe operation of the AGV group, and lastly, the security induction strategy is converted into offline parameter calculation and online hybrid integer programming propositions, and the optimal security induction strategy is acquired. The method is advantaged in that space-time interference problems such as conflict, waiting, queuing, etc. can be effectively inhibited or reduced to balance and optimize AGV flow distribution, the operation intelligentization level and security of the terminal AGV are improved, optimization distribution of the road network traffic flow is realized, and integral road network efficiency is improved.

The present invention provides an embedded PLC (Programmable Logic Controller) engine implementation method and an engine. The method includes the following steps that: data to be processed are acquired, and preset response time according to the data to be processed is obtained; the scanning periods of threads in a PLC engine are obtained, wherein the PLC engine includes M threads, wherein M is an integer greater than or equal to 2, and the scanning periods of at least two threads are different from each other; a target thread is determined according to the scanning periods and the preset response time; and the data to be processed are processed with the target thread. With the method of the invention adopted, the optimized allocation of the threads can be realized, resource waste caused by a condition that a high-consumption thread processes a task having a low real-time requirement can be decreased, and the utilization rate of the threads can be improved.

The invention discloses a system for automatically distributing customer clues of an advertisement platform, which comprises a client and a server, and is characterized in that the client is in bidirectional connection with the server through the Ethernet, and relates to the technical field of advertisement processing. According to the system for automatically distributing the customer clues of the advertisement platform, sales are graded, the clue amounts are delivered according to the grades, people of different grades have the clues of different amounts, after the sales personnel receive the clues, the customer quality corresponding to the clues is fed back, the initial quality of feedback is determined based on the grades, thereby improving the processing efficiency of the system, the feedback quality of sales is checked as an assessment standard of grade division, it is ensured that the service quality of sales personnel corresponding to the grades, and further ensured the efficient utilization of clues, and the feedback of the sales personnel is provided to an advertisement platform, and the advertisement platform is helped to break through the analysis of the advertisement full link.

The invention discloses a data processing system and method based on a cloud computing platform. The invention relates to the technical field of a data processing system and method of a cloud computing platform. Including cloud computing platform and client; cloud computing platform includes processor cluster, server cluster, cloud storage node, load balancer; client communicates with cloud computing platform through Ethernet; processor cluster includes several cloud processing nodes; Communication connection between cloud processing nodes; server cluster includes several cloud computing nodes; communication connection between any two cloud computing nodes; cloud storage node communication connection with processor cluster and server cluster respectively. In the present invention, the cloud processing node information table and the cloud computing node information table are provided in the load balancer, so as to realize the monitoring of the cloud processing node and the cloud computing node and optimize the distribution of data, and solve the problems of the existing cloud computing platform for data processing The problem of poor load balancing.

The invention discloses a multi-video-channel remote teaching method and device and a server. The method comprises: receiving an access request initiated by a user terminal, wherein the access requestcomprises an identifier of a teaching video resource to be accessed and a network condition of the user terminal; allocating a corresponding transmission channel and a teaching video resource corresponding to the identifier to the user terminal according to the access request of the user terminal and the stored teaching video resource condition; and sending the teaching video resources to the user terminal through the allocated transmission channel. According to the invention, the network speed of the user is automatically detected, the used video channel is dynamically adjusted according tothe speed, the network speed of the user is self-adapted, and the use requirements of different users are met.

Embodiments of the invention disclose a Spark task processing method and apparatus, an electronic device and a storage medium. The method comprises the steps of sequentially reading to-be-processed tasks according to priorities of the to-be-processed tasks; aiming at each currently read to-be-processed task, processing the to-be-processed task, and judging whether to execute the currently read to-be-processed task or not according to the current running state of the Spark cluster system, the current available resources of the Spark cluster system and the resources required by the currently read to-be-processed task, if so, executing the currently read to-be-processed task, and judging the next to-be-processed task. The method comprises the steps that according to the running state of a Spark cluster system, current available resources and resources required by a current to-be-processed task, the current to-be-processed task is processed; whether the current to-be-processed task is executed or not is determined, so that the problem that the tasks sorted later but needing few resources cannot be executed due to the fact that the tasks sorted earlier consume too much time and occupy too many resources can be avoided, and then optimal allocation of the resources can be achieved.

The invention relates to a real-time security induction method for an automated terminal AGV group. The method comprises steps that firstly, an automated terminal road network AGV traffic flow model is designed, a security induction model for the AGV group is established, on the basis of the security induction model, the model prediction control framework concept is utilized to design the real-time security induction strategy to guide safe operation of the AGV group, and lastly, the security induction strategy is converted into offline parameter calculation and online hybrid integer programming propositions, and the optimal security induction strategy is acquired. The method is advantaged in that space-time interference problems such as conflict, waiting, queuing, etc. can be effectively inhibited or reduced to balance and optimize AGV flow distribution, the operation intelligentization level and security of the terminal AGV are improved, optimization distribution of the road network traffic flow is realized, and integral road network efficiency is improved.

The invention belongs to the technical field of communication, and particularly relates to a power communication resource allocation method and device, a storage medium and electronic equipment, and the method comprises the steps: receiving a to-be-transmitted data stream set of power communication, obtaining a to-be-used flexible Ethernet time slot set, determining transmission time slot combinations for transmitting the to-be-transmitted data stream set according to the size of each to-be-transmitted service data stream in the to-be-transmitted data stream set and the granularity of each transmission time slot in the to-be-used flexible Ethernet time slot set, determining a target transmission time slot combination according to the combination time slot utilization rate corresponding to each transmission time slot combination, and allocating the transmission time slot of each to-be-transmitted service data stream in the to-be-transmitted data stream set based on the target transmission time slot combination so as to transmit service data. According to the invention, reasonable distribution of the service flow is realized, and the utilization rate of network transmission resources is improved to the greatest extent.

The present invention provides an embedded PLC (Programmable Logic Controller) engine implementation method and an engine. The method includes the following steps that: data to be processed are acquired, and preset response time according to the data to be processed is obtained; the scanning periods of threads in a PLC engine are obtained, wherein the PLC engine includes M threads, wherein M is an integer greater than or equal to 2, and the scanning periods of at least two threads are different from each other; a target thread is determined according to the scanning periods and the preset response time; and the data to be processed are processed with the target thread. With the method of the invention adopted, the optimized allocation of the threads can be realized, resource waste caused by a condition that a high-consumption thread processes a task having a low real-time requirement can be decreased, and the utilization rate of the threads can be improved.

The invention discloses a differential distribution transmission control method and system of a cloud computing data center network and a terminal, and relates to the technical field of cloud computing, and the technical scheme is characterized in that the method comprises the steps of: generating an exchange output distribution strategy according to the receiving priority fed back by a lower-layer second server covered by a switch in real time; and generating a switching input shunting control strategy according to the distribution condition of the first server of the upper layer to which the switch belongs and the distribution condition of the same-level switch. According to the invention, the switch is used as the processing node of the second server and the first server, so that the switching output shunting strategy as output side control can be generated according to the receiving priority fed back by the second server as a receiving end, and the sending priority is automatically calculated according to the receiving priority received by the switch; and switching input shunt control serving as input side control is determined according to the sending priority and the distribution condition of the shunt output lines, so that data transmission control under a many-to-many complex network is realized, and network resources are reasonably distributed.

The invention discloses a system for automatically distributing customer clues on an advertising platform, including a client and a server. The client realizes bidirectional connection with the server through the Ethernet. The invention relates to the technical field of advertisement processing. The system for automatically allocating customer leads on the advertising platform, by classifying the sales and dispatching the amount of leads according to the level, ensures that people of different levels have different amounts of leads. Feedback on the quality of customers, and determine the initial quality of feedback based on grades, so as to improve the processing efficiency of the system. At the same time, review the quality of sales feedback as the assessment standard for grades to ensure the quality of sales personnel corresponding to grades Business quality, thereby ensuring the efficient use of leads, and providing feedback from sales staff to the advertising platform to help the advertising platform open up the analysis of the entire advertising link.

The invention relates to the field of nuclear power station intelligent storage and discloses a nuclear power station spare part inventory method and device, computer equipment and a storage medium. The method comprises steps that an inventory task list is acquired, the inventory task list comprises a plurality of inventory tasks with inventory identifiers, and the inventory identifiers are associated with one or more spare parts; the inventory task list is inputted into a nuclear power station spare part inventory analysis system, the inventory demand information outputted by the nuclear power station spare part analysis system is obtained, and the inventory demand information comprises the man-hour demand number, inventory priority and the inventory error rate of each inventory task; thepersonnel information for executing the inventory task is obtained, wherein the personnel information comprises inventory experience information and allocable working time; and the inventory demand information and the personnel information are inputted into a nuclear power station spare part inventory distribution system, and the inventory task execution information outputted by the nuclear powerstation spare part inventory distribution system is obtained. The method is advantaged in that inventory efficiency and quality of nuclear power station spare parts can be improved.

The invention provides a stranger social activity evaluation information classification display method and system. Aiming at stranger social activities published by a social network platform, a user is allowed to carry out character evaluation and reply evaluation; furthermore, the confidence score of each character evaluation or reply evaluation is measured and calculated according to the weightfactors of each character evaluation or reply evaluation in multiple aspects; according to the confidence score of character evaluation or reply evaluation, the evaluation is classified; and for different types of character evaluations and reply evaluations, display area formats and arrangement sequences matched with the character evaluations and the reply evaluations are adaptively set.

The disclosure provides a scheduling method, a scheduler, a storage medium and a system, belonging to the technical field of communication. The method includes: acquiring association relationship diagram and data distribution information, each node in the association relationship diagram refers to a piece of data, and each directed edge is used to represent the data referred to by the destination node calculated according to the data referred to by the source node Job request; according to the preset node sorting strategy, sequentially locate the job request corresponding to the traversed node to any server where the data pointed to by the traversed node is located; at least one of the nodes represented by at least one directed edge Job requests are dispatched to the located servers in turn. By using the association relationship diagram to represent the relationship between data and the corresponding relationship between job requests and data, and using data distribution information to represent data distribution, data transmission across nodes can be reduced, and the job execution time of the overall job request can be shortened. Improve computing efficiency and improve system performance.

The invention relates to an optimized transcript distributing method in a data grid, belonging to the field of grid computation, and concretely relates to a grid system, in particular to a transcript distributing method in the data grid system. The invention provides a distributed dynamic self-adaptive transcript distributing method in the data grid, aiming at reducing the access cost of the resource request party, and comprising the following steps of: calculating the transcript amount through the response time of resources; and determining proper transcript place via comprehensive consideration of factors of load factor, node performance, real-time bandwidth, and the like so that the transcript distribution can be dynamically suitable for variation of access request and the network communication state. Compared with the existing method for simply requiring transcript amount to improve the data access performance, the invention evaluates the transcript amount and the optimum transcript place from the overall situation of the system, thereby effectively balancing the relationship between the transcript amount and the transcript maintenance cost. The method is not only suitable fordata grid systems of read-only resources and particularly suitable for data grid systems with read-write data resources.