29 results about "Mixed services" patented technology

The invention discloses an AI dynamic game virtualization resource scheduling system and method for a 5G low-delay service, and aims to solve the problems of insufficient QoS guarantee and low resource utilization rate caused by insufficient static rule adaptability, lack of service differentiation scheduling and low fusion degree of a game model and AI. A service feature extraction module is used for distinguishing a low-delay service (T = 0) and a common service (T = 1), constructing an AI dynamic game model taking the two types of services as participants, defining a payment function comprising a QoS satisfaction function and a resource consumption cost function, solving Nash equilibrium by adopting a deep reinforcement learning algorithm, outputting an optimal resource demand strategy, and realizing the optimal resource demand strategy. And the bandwidth and CPU allocation are dynamically adjusted through the virtualized resource management module. According to the invention, the delay compliance rate of the low-delay service can be improved by 20%-30%, the resource utilization rate of the common service can be improved by 15%-25%, the strategy iteration period is shortened to millisecond level, and differential fine scheduling and dynamic optimization in a 5G mixed service scene are realized.

The invention discloses a periodic settlement data prediction method fused with nonlinear dynamic lag modeling, which comprises the following steps: counting the number of manual operation times in unit time as an intervention frequency, comparing the intervention frequency with a preset threshold value, and judging whether a service scene is a periodic scene or a non-periodic scene; for the scene which is determined to be periodic, calibrating a monthly prediction result based on scale change of historical same-period data; for the scene judged to be aperiodic, parameters are updated in combination with a moving average method, and processing delay is dynamically adjusted by incorporating holidays and festivals and resting arrangement, so that sequence prediction is generated and completed; and dynamically updating model parameters and predicted values. According to the method, manual intervention intensity and sequence period feature analysis are fused, the universality and accuracy of service scene judgment are remarkably improved, the recognition limitation of a traditional method on mixed services is broken through, and lagging behavior prediction in the fields of energy, finance and the like can be adapted through the three stages of triggering, processing and completing.

The invention discloses an online incremental flow scheduling method, device and equipment based on a time-sensitive test launch control network, which are suitable for solving the problem of mixed service flow resource allocation in a ground test launch control system network and improving the scheduling capability of the network on time-sensitive service flows and measurement service flows. The method comprises the following steps: carrying out service flow category division and attribute representation; network topology and resource detection; constructing a mixed service flow incremental transmission model; based on a mixed service flow incremental transmission model, establishing a common flow scheduling optimization target and constraint conditions of different types of service flows; configuring a Markov decision process according to the optimization target; executing an online incremental scheduling decision based on a traffic scheduling algorithm of deep reinforcement learning; according to the method and the device, the scheduling success rate of the periodic time-sensitive service flow and the measurement type service flow can be improved while the end-to-end transmission delay of the non-periodic burst time-sensitive service flow is optimized.

The invention relates to a data synchronization method, system and device for a hybrid load service and electronic equipment. The method comprises the following steps: analyzing a log file generated by a source end data storage system to obtain all transaction data, and filtering the transaction data according to a preset white list rule to obtain target transaction data related to a target service; performing multi-dimensional analysis on the target transaction data, and generating at least one transaction judgment feature representing transaction behavior characteristics according to an analysis result; determining a target data synchronization optimization strategy matched with the transaction judgment feature, and obtaining corresponding transaction data in the target transaction data according to the target data synchronization optimization strategy; and buffering and sorting the obtained transaction data, and synchronizing the transaction data to a target data storage system through playback processing. The technical problems that analysis of operators is time-consuming, misjudgment is easy to occur, and a synchronization channel is blocked due to high-load mixed services are solved.

The invention discloses a hybrid processing method based on concurrent service acceptance, and relates to the field of computer task processing, and the method comprises the steps: receiving a hybrid service handling request, carrying out verification according to preset protocol configuration information, and carrying out the grouping forwarding of the hybrid service handling request according to a service type; the protocol configuration information is realized by adopting a tree-shaped data structure; each type of business analyzed from the mixed business handling request information is separated, an original corresponding sub-business verification process is called for verification and unified fee calculation, sub-orders of each business type are generated, and processing priorities of the sub-orders are calculated according to the business types and business relations; and submitting the mixed service sub-orders according to the priority sequence. According to the method, the system processing time is shortened through highly concentrated service verification and fee calculation, the processing efficiency is improved, the mixed service sub-order processing sequence is adjusted according to the priority, and flow control of processing each service by multiple services is accepted at the same time.

This invention discloses a method for scheduling mixed service resources in a multi-service scenario, applied to a cellular network system. The method includes: at the initial stage of a slot, the base station allocates resource blocks for an eMBB service slice; when URLLC service traffic arrives in a sub-time slot within the slot, resource blocks are allocated for the URLLC service slice at the beginning of the next sub-time slot, ensuring that all URLLC service traffic is transmitted within that next sub-time slot; wherein, the base station utilizes a resource allocation strategy to allocate resource blocks, using OMA (Optical Method Allocation) for resource block allocation between users belonging to the same service slice, and using NOMA (Normally Owned Method Allocation) for resource blocks to be reused between user pairs belonging to different service slices. This invention combines NOMA technology to solve the problem of scheduling mixed service resources in a multi-service scenario, improving spectrum efficiency, alleviating spectrum congestion, reducing system latency, and improving transmission reliability.

The invention discloses a message processing method and device, a storage medium and an electronic device, and the message processing method comprises the steps: detecting the message type of a target message currently received by a target port; obtaining a plurality of reference message types allowed to be processed by the target port in the target network equipment, and corresponding reference field types and reference message operations thereof, and establishing a corresponding relationship among the reference message types, the reference field types and the reference message operations; according to the technical scheme, the message processing method and the message processing device have the advantages that the message processing efficiency of the network equipment in the mixed service scene is low, and the problem that the message processing efficiency of the network equipment in the mixed service scene is low in the prior art is solved.

The invention discloses an implementation method of an ad hoc network service scheduling mechanism based on a multi-queue CQF (Control Quality Function), and provides a service scheduling mechanism based on a multi-queue CQF (Control Quality Function), aiming at the problem that a QoS (Quality of Service) guarantee mechanism of a medium access control (MAC) layer exists in mixed service flow queue scheduling in an unmanned aerial vehicle (UANET) ad hoc network. The method comprises the following steps: firstly, introducing a multi-queue CQF and a corresponding scheduling strategy to realize differential transmission requirements of a periodic stream and a burst stream, and completing a scheduling task of a mixed stream; the invention discloses a time resource scheduling method based on GhostNet and SRResNet, and provides a time resource scheduling algorithm (Time Resource Scheduling GhostNet and SRResNet, GSR) fusing the GhostNet and the SRResNet, so that the scheduling performance of a queue model is improved, and network resource optimization is realized. Finally, it is simulated and verified that the GSR algorithm has good scheduling capability in a mixed data stream scene, time resources can be reasonably allocated, and low-delay communication and rapid deployment of the model are achieved.

The application provides an adaptive uplink message transmission method and device and electronic equipment, and relates to the technical field of communication. The application embeds mode identifiers in generated uplink message data, independently maintains uplink message sequence numbers corresponding to different mode identifiers, establishes logically isolated and parallelly operated differentiated quality of service channels for uplink message data streams on the same physical connection. The client can select corresponding mode identifiers according to the sensitivity of the to-be-transmitted uplink message to reliability or delay, thereby triggering the confirmation and retransmission behavior matched with the corresponding transmission mode. This mechanism enables the client to adopt the most adaptive retransmission strategy for different service data, thereby effectively alleviating the problem that the quality of service in the prior art cannot meet the actual demand or is low in efficiency under mixed service load, and realizing fine transmission control of mixed service load in a single connection.

The invention provides a combined scheduling method for predicting and enhancing QoS (Quality of Service) sensing millimeter wave beams and power, and belongs to the technical field of wireless communication and resource management. In a millimeter wave system, user equipment periodically measures downlink reference signal receiving power and reports the downlink reference signal receiving power to a base station; and the BS maintains a historical RSRP sequence for each UE, and performs multi-step prediction by using an AI model to obtain a Top-K candidate beam at a future moment and the quality of the Top-K candidate beam. And the base station fuses the prediction result with the queue state, the service type and the QoS constraint, constructs a prediction enhancement state, and jointly optimizes beam selection and power distribution based on a deep reinforcement learning model. According to the method, a neural network does not need to be deployed on the UE side, the problem of channel aging is effectively relieved, the spectrum efficiency is remarkably improved in a high-mobility scene, meanwhile, time delay is reduced, the QoS default probability is reduced, and the method is suitable for a millimeter wave communication system of eMBB, URLLC and mMTC mixed services.

A method of selectively migrating data for a mixed server environment including deleting a first dataset from the first database server in response to a first delete command issued to the first database management system, issuing a second delete command after deleting the first dataset, copying to a second database server a complete set of data stored by the first database server, starting a second application server, starting a second business management software platform on the second application server, and providing the second business management software platform with the business software configuration data from the second database. The first dataset is deleted by a first database management system of a first database server, and the second delete command is issued to a first business management software platform and instructs the first business management software platform to delete the first dataset.

According to certain embodiments, a method performed by a wireless device comprises receiving a first grant and a second grant from a network node. The first grant and the second grant are overlapping. The method comprises determining a prioritized one of the first grant and the second grant and constructing a Medium Access Control (MAC) Protocol Description Unit (PDU) for the prioritized grant of the first grant and the second grant.According to certain embodiments, a method performed by a network node comprises transmitting a first grant and a second grant to a wireless device. The first grant and the second grant are overlapping. The method comprises receiving a transmission from the wireless device on a prioritized one of the first grant and the second grant.

Device for controlling the execution of a mashup WoT service, the device comprising: a Web of Things mashup service function entity, WoT mashup service function entity, (52) configured to execute a mashup WoT service adapted for a WoT service user (10); a WoT service execution function entity (54) configured to handle the execution of simple WoT services for the execution of the mashup WoT service of the WoT mashup service function entity; and a WoT service repository (56) configured to store WoT service execution descriptions (56a, 56b, 56n), each describing execution logic for each of the simple WoT services; wherein the WoT mashup service functionality entity comprises: a WoT mashup engine (52b) configured to execute the mashup WoT service in accordance with the service instruction read from the relevant WoT service execution description;wherein each of the WoT service execution descriptions includes information about the mashup WoT service, a service instruction designed to execute the mashup WoT service created by combining the two or more simple WoT services, and service profiles representing parameters designed to identify the mashup WoT service customized for the WoT service user.

The invention belongs to the technical field of wireless communication, and discloses a resource allocation method for an eMBB and URLLC mixed service, and the method comprises the steps: 1, setting input variables: a round number T, a learning rate, an experience playback pool, a target network update frequency C, a state weight factor beta, a service weight factor sum, and a discount factor; 2, performing variable initialization: initializing a training network and a target network by using parameters selected in a randomized manner, wherein the parameters are selected in a randomized manner; step 3, randomly selecting power and a resource allocation strategy to initialize a network state in each turn (T in total); 4, in each round, selecting an action through a network strategy selection module, configuring a strategy in the network, then recording a network state and a corresponding return function after the action is executed, and finally storing an obtained parameter set in an experience playback pool; step 5, training; step 6, updating parameters of the target network; and the reliability is high.

The invention provides a dynamic subcarrier allocation method and system for a time-frequency multiplexing passive optical network, and the method comprises the steps: constructing a dynamic scheduling model of a time-frequency two-dimensional resource pool in each scheduling period according to the bandwidth demand condition of an ONU (Optical Network Unit) and the requirements of business demands for throughput, fairness and power balance, and carrying out the dynamic scheduling of the time-frequency two-dimensional resource pool; coding each sub-carrier allocation scheme as a particle position, optimizing targets such as throughput, fairness and power balance of the system at the same time by using a multi-target particle swarm, and reserving a diversified compromise optimal solution set through Pareto non-dominated sorting and congestion degree distance maintenance in iteration; and finally, selecting a feasible scheme from the Pareto frontier solution set according to network strategy preference, and issuing the feasible scheme to the OLT for execution, thereby realizing real-time self-adaptive distribution of the DSC. According to the method, time-frequency resources can be fully utilized in a mixed service scene, the overall throughput of a system is improved, the service quality of a weak link or a low-priority ONU is considered, and the basic physical feasibility requirement is met.

In one embodiment, a method can receive transmission metadata associated with a plurality of devices within an Internet of Things (IoT) network. The method can use a transmission sensing component (TSC) to measure transmission energy cost for each of the plurality of devices over a time period using the transmission metadata. The method can use a central compute engine (CCE) and the transmission energy cost for each of the plurality of devices to determine a plurality of transmission features associated with the plurality of devices having a transmission energy cost that is minimized. The method can use a transmission scheduling engine (TSE) and the plurality of transmission features to generate a transmission mode schedule to reduce a transmission energy cost for the plurality of devices within the IoT network. The method can adjust a transmission mode associated with the plurality of devices based on the transmission mode schedule.

The invention discloses a power system communication network operation capability analysis method based on multi-granularity injection, and the method comprises the steps: constructing a statistical model based on the historical time sequence traffic of a to-be-tested power system communication network, and obtaining a traffic fluctuation strategy of the network; constructing a multi-granularity mixed service analog signal by using a signal generation device; dynamically inputting the multi-granularity mixed service analog signal into a to-be-tested power system communication network according to a flow fluctuation strategy of the network, and injecting background flow noise according to a period to obtain a dynamic analog environment; testing environments corresponding to different network operation capability types are constructed respectively, network operation capability analysis index values of the to-be-tested power system communication network in the dynamic simulation environment are measured, and the network operation capability types include but are not limited to multi-service bearing capability and QoS capability; and normalizing the network operation capability analysis index value, and polymerizing by adopting a surface acoustic wave polymerization method to obtain an operation capability score of the communication network of the to-be-tested power system.

The application discloses a method and device for identifying sequential access intervals and a medium, and is applied to the field of data storage. After a storage system obtains a storage interval corresponding to a read request in a block device, the sequential access interval and the storage interval corresponding to the read request are compared. If there is no intersection between the current sequential access interval and the storage interval corresponding to the read request, a new sequential access interval is established according to the storage interval corresponding to the read request to pre-read data in the new sequential access interval. If there is an intersection between the current sequential access interval and the storage interval corresponding to the read request, the corresponding sequential access interval is sequentially slid to pre-read data in the sequential access interval after the sliding. The sequential access interval is a storage interval in the block device. When there is a mixed service scenario of random reading and sequential reading, the sequential access interval is slid to pre-read the sequential reading related data, and the sequential reading is not affected by the random reading.

The present application relates to oil, gas and water three-phase mixed transportation fluid freezing point experimental test technical field, it is a kind of mixed transportation pipeline minimum flowable temperature test device and use method, the former includes water bath cabinet, coil pipe, first pressure sensor, second pressure sensor, ultrasonic measurement module, temperature regulating device and control unit, several turns of coil pipe are coiled in water bath cabinet.This application is reasonable and compact, when using, the mixed solution of water and methanol is filled in water bath cabinet, coil pipe is immersed in the mixed solution of water and methanol, by setting temperature regulating device, the cold quantity can be provided for the mixed solution in water bath cabinet, so as to reduce the temperature of mixed solution, by setting ultrasonic emission probe, ultrasonic receiving probe, ultrasonic measurement module can measure the ultrasonic propagation time of fluid in coil pipe, by setting check valve, ensure that all fluids flow in one direction, the minimum flowable temperature of mixed transportation fluid under multiple influence factors can be accurately measured.

The application discloses a distribution network cooperative networking device fusing a pole-mounted circuit breaker FTU and a ring network box DTU, and the device comprises a memory and a processor, and the memory and the processor are configured to perform the following operations: obtaining a data packet to be sent; judging whether the proportion of non-forwarding data packets and forwarding data packets is less than a proportion threshold; if yes, performing enhanced scheduling sorting on a sending cache queue, and the enhanced scheduling sorting comprises: selecting data packets from the sending cache queue to construct a sending window according to a preset window entry quota; and for the data packets entering the sending window, reordering the data packets in the sending window based on the remaining time limit, the freshness, the closed-loop correlation, the fair compensation value and whether the data packet is a forwarding data packet of each data packet. The application can improve the adaptability of the sending order to a mixed service scenario, and takes into account the timeliness, the closed-loop service demand and the sending fairness, thereby improving the rationality and reliability of data uploading.

This invention discloses a method, apparatus, device, medium, and product for transmitting mixed services. The method is applied to a deterministic network architecture, which includes a central controller and multiple domain controllers. The domain controllers receive mixed service flows and perform adaptive bandwidth allocation within the domain based on intra-domain information and the service traffic characteristics of the mixed service flows, obtaining intra-domain transmission information. The central controller performs node-aware service scheduling based on the intra-domain transmission information and inter-domain interconnection topology information to determine inter-domain transmission information. The domain controllers then transmit the mixed service flows through pre-built mixed queues according to the inter-domain and intra-domain transmission information. The mixed queue structure meets the power safety protection requirements for carrying mixed services. Combined with adaptive bandwidth allocation and node-aware delay forwarding mechanisms, it improves network bandwidth utilization, enhances the flexibility of traffic scheduling at cross-domain edge nodes, and achieves isolation and efficient scheduling of mixed services.

The invention provides a board card configuration method and system with a multi-service transmission function, and relates to the technical field of multi-service transmission board cards, and the method comprises the steps: dividing an FPGA into dynamic reconfigurable logic units based on a heterogeneous architecture of the FPGA and a multi-core processor in a board card, and forming a programmable hardware resource pool; based on a virtual port of the programmable hardware resource pool, calling a field mapping table through a protocol converter to convert Ethernet, OTN and FC protocols, and outputting messages adaptive to different manufacturer devices; collecting board card operation state data of the programmable hardware resource pool, constructing a corresponding digital twin mirror image in the board card management platform, and outputting mirrored board card operation state data; and fault analysis is carried out on the mirrored board card operation state data, potential operation faults are predicted, and a maintenance work order is generated, so that the resource utilization rate of the board card in a mixed service transmission scene is improved, the protocol adaptation flexibility is improved, the operation and maintenance response speed is accelerated, and the potential faults are predicted and processed in advance.

The application discloses a distribution network cooperative networking device fusing a pole-mounted circuit breaker FTU and a ring network box DTU, and the device comprises a memory and a processor, and the memory and the processor are configured to perform the following operations: obtaining a data packet to be sent; judging whether the proportion of non-forwarding data packets and forwarding data packets is less than a proportion threshold; if yes, performing enhanced scheduling sorting on a sending cache queue, and the enhanced scheduling sorting comprises: selecting data packets from the sending cache queue to construct a sending window according to a preset window entry quota; and for the data packets entering the sending window, reordering the data packets in the sending window based on the remaining time limit, the freshness, the closed-loop correlation, the fair compensation value and whether the data packet is a forwarding data packet of each data packet. The application can improve the adaptability of the sending order to a mixed service scenario, and takes into account the timeliness, the closed-loop service demand and the sending fairness, thereby improving the rationality and reliability of data uploading.

The carrier configuration method and device and electronic equipment provided by the application relate to the technical field of wireless communication, can comprehensively perceive the dynamic characteristics of a heterogeneous network scene by collecting multi-dimensional state information covering a communication terminal, a network environment and network load. A strategy set containing multiple candidate carrier combinations and transmission modes is generated based on the characteristics of the communication terminal, which provides a selection space for carrier configuration. Through a preset intelligent decision model, an optimal target dynamically adapted to different service types is used to make a joint selection decision from the candidate configuration strategy set, so that accurate matching between carrier resource configuration and actual service demand of the terminal is realized. Therefore, the application can actively adapt to the dynamic changes of the network environment and the mixed services, effectively meet the differentiated performance requirements of throughput, delay and reliability of diversified services, and improve the resource utilization efficiency and overall service performance.

The invention relates to the technical field of port communication, in particular to a port mixed service traffic cooperative transmission method based on a 5G-TSN logic network bridge. The method comprises the following steps: periodically acquiring context information of a wireless channel between a 5G base station and a port mobile terminal by using the 5G base station, and collecting historical transmission feedback data; constructing a channel state evaluation model based on ridge regression, and establishing a 5G air interface retransmission time model based on the channel state information; a cluster-based collaborative learning mechanism is introduced, and a channel state evaluation model is jointly trained and updated; the method comprises the following steps: dynamically adjusting an attenuation factor and a time sensitive weight of a parameter in a channel state evaluation model according to a deviation between an actual transmission time delay and a time delay budget in a 5G domain, compensating time delay jitter of a 5G air interface through a 5G-TSN mixed flow scheduling strategy by using a deterministic transmission capability of the TSN, and determining the time delay jitter of the 5G air interface according to a service type, the time delay budget in the 5G domain and the size of a remaining time window. The flow priority is dynamically set, queue mapping is determined by 5G and TSN transmission conditions, and iterative adjustment is fed back.

The application discloses an instance scheduling method and related device, a gateway device and a storage medium. The instance scheduling method comprises the following steps: in response to receiving a service request of a client, based on the registration information of a registered service instance, it is detected whether there is a registered service instance capable of undertaking the service request; in the case where there is no registered service instance capable of undertaking the service request, at least one of a hybrid service instance, a common resource pool node and a single service instance is pulled up to undertake the service request. The above scheme can avoid cold start as much as possible and improve the transition from computing trigger to high concurrency stability.

The invention discloses a DCQCN parameter adaptive tuning method and system based on a power business scene, a medium and a processor, relates to the technical field of congestion control, and solves the problems of rate fluctuation, poor structural data adaptation and difficulty in considering hybrid business QoS (Quality of Service) caused by existing DCQCN fixed parameters. The method comprises the following steps: collecting power service network flow characteristic data, and quantifying service priorities based on an analytic hierarchy process; reinforcement learning core elements are determined according to the traffic characteristics, and a DQN reinforcement learning model is constructed and trained; and constructing a heuristic search algorithm fusing the service priority and the reinforcement learning model, and screening an optimal DCQCN parameter. The system comprises a preprocessing module, a first construction module, a second construction module and an adjusting and optimizing module. The method can dynamically adapt to mixed service requirements of real-time power monitoring, video streaming, structured data and the like, time delay optimization and throughput improvement are realized, and stable and efficient operation of a power network is guaranteed.

A quality of service scheduling method, device, equipment, medium and product are disclosed. The method comprises: according to the service type of the logical channel to which the user terminal service flow belongs, mapping the logical channel to the corresponding node in the corresponding quality of service priority matrix, and determining the time-sensitive priority update strategy of the logical channel; according to the time-sensitive priority update strategy of the logical channel and the service parameters of the service flow corresponding to the logical channel, determining the time-sensitive priority corresponding to the logical channel; according to the traffic change of the logical channel and the time-sensitive priority, updating the nodes of the corresponding quality of service priority matrix; polling each node in each quality of service priority matrix to determine and execute the corresponding resource scheduling strategy according to the matrix type of the quality of service priority matrix to which the node belongs. The QoS scheduling of the wireless access network in the TSN and non-TSN mixed service multi-terminal scene can be realized.

In one embodiment, a method can receive transmission metadata associated with a plurality of devices within an Internet of Things (IoT) network. The method can use a transmission sensing component (TSC) to measure transmission energy cost for each of the plurality of devices over a time period using the transmission metadata. The method can use a central compute engine (CCE) and the transmission energy cost for each of the plurality of devices to determine a plurality of transmission features associated with the plurality of devices having a transmission energy cost that is minimized. The method can use a transmission scheduling engine (TSE) and the plurality of transmission features to generate a transmission mode schedule to reduce a transmission energy cost for the plurality of devices within the IoT network. The method can adjust a transmission mode associated with the plurality of devices based on the transmission mode schedule.