63 results about "Differentiated service" patented technology

The invention discloses a low earth orbit satellite network digital twin drive switching optimization method and system, and relates to the technical field of inter-satellite communication, and the method comprises the steps: building a digital twin system which is synchronously evolved with a physical LEO satellite network; predicting the link quality between each candidate satellite and the user terminal in a future time window based on a digital twin system; dividing a time window into a plurality of continuous time slices, constructing a directed weighted dynamic graph model which takes a satellite-time slice as a node and takes link comprehensive utility cost as an edge weight, and searching an optimal path in the directed weighted dynamic graph model by utilizing a shortest path algorithm so as to determine an optimal switching opportunity and a target satellite sequence; the optimal switching strategy is issued to a user terminal to be executed, and a link quality prediction result is corrected in real time through a feedback mechanism of the digital twin system to form closed-loop optimization; the method can effectively meet differentiated service quality requirements in a multi-service scene, and is suitable for a high-dynamic LEO satellite communication system.

A routing method for supporting differential service requirements in a satellite internet comprises the following steps: step 1, constructing multi-dimensional network state perception as a base layer which is responsible for collecting and quantifying physical states and logic states of a satellite network in real time, and obtaining objective network states and subjective QoS (Quality of Service) requirements of services; 2, generating a nonlinear adaptive weight driven by a service as a strategy layer, mapping an objective network state and a subjective QoS (Quality of Service) demand of the service, dynamically adjusting the value orientation of routing judgment, and generating a dynamic weight; and step 3, taking the dynamic cost routing decision as an execution layer, calculating the comprehensive cost based on the dynamic weight, and executing next hop selection and path maintenance, and through cooperative work of the dynamic cost routing decision, the comprehensive cost and the next hop selection and path maintenance, realizing intelligent path selection and high-reliability transmission for different service flows in a high-dynamic and resource-limited environment of the low-orbit satellite. According to the invention, while the routing computation overhead is effectively reduced, multiple requirements of differentiated services on low time delay and high reliability can be considered.

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 provides an end-network cooperative transmission system and method for a multi-mode network. The system comprises a terminal service demand layer which is used for identifying the service type of a terminal in a multi-mode network, generating structured service demand information and transmitting the service demand information to a network collaborative decision-making layer; the network cooperation decision-making layer is used for fusing the service demand information and the link state information, generating a transmission optimization strategy including path selection, priority mapping, bandwidth allocation and rate control, and transmitting the transmission optimization strategy to the transmission optimization strategy execution layer; and the transmission optimization strategy execution layer is used for executing a transmission optimization strategy, collecting link state information in the multi-mode network in real time through INT, and transmitting the link state information to the network cooperation decision layer. According to the method, efficient scheduling of heterogeneous network resources and high-reliability transmission guarantee of differentiated services are achieved, and the method is suitable for key service scenes sensitive to time delay and reliability, such as Internet of Vehicles and ultra-high-definition video transmission.

The invention relates to the technical field of large language models, in particular to a high-concurrency large language model high-speed reasoning deployment method, which comprises the following steps of: extracting a weight coefficient corresponding to a user identity identifier, an emergency degree numerical value mapped by a request type and a resource occupation value converted by an estimated calculation amount according to the user identity, the request type and the estimated calculation amount; according to the method, the dynamic priority is generated by performing comprehensive operation on the user identity, the request type and the estimated calculation amount, so that differentiated services for reasoning tasks are realized, interactive requests with high urgency degree can bypass batch processing tasks with long time consumption, the response delay and delay jitter of key services are reduced, and the user experience is improved. Meanwhile, according to the complexity of the request text and the geographic coordinates of the user, the task is intelligently routed to the model node with the most suitable scale in the distributed network, so that the wide area network transmission delay is greatly reduced through edge processing, and the computing power waste caused by using a super-large-scale model to process the simple task is also avoided.

The invention relates to the technical field of computers, and discloses a process scheduling method based on a tenant isolation strategy, and the method comprises the steps: receiving a process scheduling request of a tenant, and carrying out the standardization processing and legality verification; querying a predefined tenant mapping table, and determining an internal unified tenant identifier corresponding to the flow scheduling request and associated single-tenant concurrent quota, tenant resource weight, isolation level and strategy rule; obtaining a single-tenant concurrent quota and a tenant resource weight, generating a tenant isolation strategy in combination with the calculated rate limiting parameter and the tenant correction priority, and performing admission judgment; and based on the judgment result, distributing the flow scheduling request to the corresponding tenant scheduling unit according to the local priority, selecting a target tenant scheduling unit according to the scheduling qualification value and the global scheduling priority, generating an execution instance and triggering the execution instance. Through differentiated services, resource monopoly is prevented, task hunger is eliminated, system overload is avoided, multi-dimensional mutual restriction is carried out, and isolation between tenants is achieved.

The invention discloses an urban public facility layout optimization method and system based on multi-source space-time big data, and relates to the technical field of urban planning. Comprising the following steps: firstly, acquiring and fusing multi-source space-time big data such as mobile equipment signaling data and point-of-interest data; identifying and delimiting an urban public service three-level center system based on the fusion data through a spatial clustering and network analysis algorithm, and determining each center level and a spatial influence range; constructing a differentiated service demand quantification model for each level of service center; constructing a multi-stage collaborative layout optimization model, and completing facility hierarchical assignment and site selection optimization; evaluating the layout scheme in the simulation environment and outputting a grading evaluation report; through dynamic analysis and multi-level collaborative optimization driven by multi-source space-time big data, accurate matching of public facility layout and service requirements is achieved, and meanwhile the service coverage rate and cross-level connection efficiency are improved.

The embodiment of the invention provides an intelligent customer service response method and device, electronic equipment and a medium, belongs to the technical field of artificial intelligence, and is suitable for financial scenes and medical scenes. The method comprises the following steps: performing service period prediction by combining user portrait features and behavior features extracted from service interaction data to obtain a user service period state; performing product demand prediction according to dialogue features, behavior features, user portrait features and user service period states extracted from the service interaction data to obtain a product service demand degree; and sending a target service response scheme generated based on the product service demand degree and the user service cycle state to the user. According to the embodiment of the invention, the target service response scheme is generated by combining the product service demand degree and the user service period state generated by the dialogue features, the behavior features and the portrait features of the user, differentiated service strategies can be adopted for clients with different demand degrees in a proper service stage, and the intelligent customer service response effect is improved.

The invention provides a smart campus task collaboration method and system oriented to multi-group service optimization, and relates to the technical field of campus service management. According to the method, historical service logs are called, and storage nodes are distributed according to a service process to generate data sets before and after collaboration; determining a group cooperation state based on the data set, and constructing an exclusive task measurement set and a group behavior feature set; quantifying a cross-group task cooperation priority through a double-evaluation mode mark; generating a group-task collaborative set in combination with iterative operation, and screening and optimizing by using a segmentation coefficient (cohesion + separation degree); the system correspondingly comprises a data acquisition and storage module, a task and feature construction module, a collaborative priority quantification module and a collaborative adaptation analysis and optimization module. According to the method, the problems of lack of precise adaptation, fuzzy priority quantization and the like in multi-group coordination in the prior art are solved, directional optimal configuration of service resources is realized, task coordination efficiency and group satisfaction are improved, and an efficient solution is provided for multi-group differentiated services of the smart campus.

The invention belongs to the technical field of wireless communication, discloses a perception-assisted satellite-borne base station access method, device and equipment and a storage medium, and is applied to a non-ground network satellite access system. The method comprises the following steps: firstly, constructing a multi-dimensional information sensing model oriented to differentiated service requirements, fusing user requirement information, network state information and satellite-ground channel information, and monitoring the use condition of a resource block in real time; the method comprises the following steps: carrying out real-time estimation on the number of active users based on an active user number estimation method of a Bayesian criterion and multi-dimensional perception information, and then, carrying out self-adaptive allocation of time-frequency resources on the users by adopting a weighted dynamic resource allocation strategy according to service priorities and weights; and the access control parameters are dynamically adjusted according to the number of the active users and the resource allocation condition, so that efficient and reliable access in a high-dynamic and frequent switching scene is realized. According to the invention, the resource utilization rate and the access success rate of the satellite access system can be obviously improved, and the method adapts to differentiated service requirements in a high-dynamic scene.

A trigger to enable data traffic replication in a wireless network may be provided. A data packet comprising a Differentiated Service Code Point (DSCP) field in a header may be received. A determination may be made that the data packet comprises a candidate traffic for bi-casting. In response to determining that the data packet comprises the candidate traffic for bi-casting, a flag may be set in the DSCP field in the header of the data packet. The flag triggers bi-casting of the data packet. The data packet may be sent to a destination device.

The application relates to the field of mobile communication, and discloses a method and device for monitoring data packet disorder in a mobile network, a computer readable medium and an electronic device. The method is executed by a first user plane node in a user plane, and comprises the following steps: when the first user plane node receives a disorder statistics request sent by a target network element in a control plane, sending a notification message containing a differentiated service code point to a second user plane node in the user plane; receiving a plurality of echo messages sent by the second user plane node in sequence, wherein the echo messages comprise a message sequence number and the differentiated service code point; determining a disorder monitoring result according to the message sequence number in each received echo message and the normal order of the message sequence numbers in the plurality of echo messages; and reporting the disorder monitoring result to the control plane, so that the control plane determines the disorder condition of the data packet according to the disorder monitoring result. The method can realize monitoring of the disorder condition of the data packet, and provide data support for reliable transmission of the mobile network.

A communication method and related apparatus, in which a first communication device receives first information indicating N gateway stations and / or K feeder links on one or more transmission paths of data of a terminal device, and the first communication device can determine a first user plane function connected with the N gateway stations and / or the K feeder links according to the first information. The first communication device can subsequently send second information to the first user plane function, so that the first user plane function can perform data processing based on the N gateway stations and / or the K feeder links indicated by the second information. In this way, the first communication device can select a user plane function based on the gateway stations and / or feeder links indicated by the first information, so that the data of the terminal device can be transmitted through the user plane function and the gateway stations matching the first information, to provide differentiated services and improve the quality and reliability of the services.

The invention discloses an air-sea cross-domain communication network slice dynamic mapping and forwarding method based on an SRv6 Color-Mapping table, and belongs to the technical field of communication networks, and the method comprises the steps: constructing a cross-domain network intelligent management and control platform, defining a network slice service level according to a service demand, calculating an optimal SRv6 strategy path meeting a constraint condition, and transmitting the optimal SRv6 strategy path to the cross-domain network intelligent management and control platform; creating an SRv6 Color-Mapping table of an ordered SID list corresponding to a service grade, an SRv6 color value and an optimal strategy path; the network entry node identifies the service level of the service data packet and marks the corresponding color value of the service data packet, performs SRv6 packaging according to the SID list associated with the color value, and forwards the service data packet segment by segment according to the SID list to complete end-to-end cross-domain communication; and the management and control platform monitors the network state in real time, dynamically updates the mapping table and issues the mapping table, so that non-perception path switching of the service flow is realized. According to the invention, non-aware switching and automatic management of services are realized, and differentiated services and network reliability in a complex heterogeneous environment are effectively guaranteed.

The application provides a kind of star-ground fusion network differentiated service flow deterministic transmission scheduling method and system, belongs to communication network technical field, according to the total demand of service flow, based on the elastic transmission algorithm of cache utilization of genetic, calculate the complementary star-ground cross-domain peak cache resource reserved, and carry out the adaptive optimization of cache resource in domain, obtain the domain node resource allocation result;According to node resource allocation result, based on the transient routing and variable queue algorithm of deep reinforcement learning, the two-dimensional scheduling of routing-queue is carried out to service flow, and deterministic transmission scheduling is carried out to meet the differentiated cache capacity demand and time demand of service flow.The application makes up the defects of traditional STIN network architecture, such as lack of differentiated deterministic service concept and loose adaptation between protocol stack levels, significantly improves the deterministic communication guarantee capability of network in different scenarios, and provides strong support for efficient operation and reliable transmission of STIN.

The application discloses a network conference traffic forwarding method and device, electronic equipment and storage medium, and relates to the technical field of big data, wherein the traffic forwarding method comprises the following steps: acquiring global conference information; based on the global conference information, generating conference interaction information of each network conference, wherein the conference guarantee priority contained in the conference interaction information is used for configuring a differentiated service code point (DSCP) value of traffic data packets transmitted between a conference terminal participating in the network conference and a conference management end, and traffic data packets with different DSCP values correspond to different forwarding strategies; and according to the forwarding strategy, the traffic data packets formed between the conference terminal participating in the network conference and the conference management end are forwarded. The application solves the technical problems in the prior art that the guarantee priority of the network conference cannot be flexibly defined, and different forwarding strategies cannot be formulated to flexibly forward the traffic data packets.

The invention provides a computing network collaborative differentiated resource guarantee system based on a service type, and the system comprises a service type recognition module which is configured to perform service type recognition according to at least one service request, and obtain a target service type and / or a normalized service portrait corresponding to the service request; the differentiated resource strategy generation module is configured to generate a target unified strategy according to the target service type and / or the normalized service portrait, and the target unified strategy comprises computing power resource parameters and network resource parameters corresponding to the service request; and the computing network joint admission module is configured to judge whether the service request is admitted to a target resource domain or not according to the target unified strategy. Through the system, the problems of low resource management efficiency and lack of uniformity for differentiated services in the prior art are solved.

The invention provides an AI flow transmission method and device, a computer readable medium and electronic equipment, the method is executed by a base station node, and the method comprises the following steps: determining a service data intelligent identifier matched with an AI service data flow, and adding the service data intelligent identifier to the AI service data flow to obtain a new AI service data flow; aI QoS flow configuration information and a service data intelligent identifier obtained from a core network side are reported to a wireless access network intelligent layer, and the wireless access network intelligent layer determines a differentiated service guarantee strategy corresponding to a new AI service data flow according to the AI QoS flow configuration information and the service data intelligent identifier and returns the differentiated service guarantee strategy; and determining a transmission path of the AI QoS flow based on the wireless access network intelligent layer according to the differentiated service guarantee strategy and available resource information obtained from a base station network management system, and transmitting the AI QoS flow. The invention provides a transmission scheme which is more adaptive to the AI flow.

The invention provides a ship lock operation scheduling system and method based on big data analysis, and relates to the technical field of ship lock operation scheduling. By integrating big data analysis of historical operation data, ship priority evaluation, real-time navigation state monitoring and intelligent prediction, refinement, dynamics and intelligence of ship lock scheduling are achieved, the overall traffic efficiency is remarkably improved, and congestion of a lock area is effectively relieved. Low-efficiency links are identified through clustering analysis, congestion points are captured in real time in combination with a space thermodynamic diagram, and a declaration time period and interval time are dynamically adjusted, so that the adaptive capacity of the system to abnormal conditions such as load change, severe weather and equipment faults is enhanced; differentiated services and green channel support of high-priority ships are realized, and key transportation requirements are guaranteed; and upstream and downstream ship lock linkage scheduling is realized through a network cloud platform, and a neural network model is utilized to generate an optimization scheme containing a lockage sequence, suggested arrival time and a coordination instruction to improve watershed navigation collaboration.

The invention belongs to the technical field of wireless communication, and particularly relates to a self-adaptive backoff method based on emergency degree and channel load volatility. According to the method, the survival time constraint of the data packet, the same-priority differentiation demand and the dynamic change characteristic of the channel load are comprehensively considered. By sensing the time emergency degree of a data packet, shorter back-off time is allocated to the data packet which is close to timeout, and meanwhile, differential control in the same priority is realized; the backoff strategy is flexibly adjusted in a dynamic environment by monitoring the channel load fluctuation condition. The multi-dimension (data packet priority, channel occupancy rate, data packet emergency degree and channel load volatility) adaptive mechanism can reduce the system time delay and packet loss rate, improve the channel utilization rate and the system throughput, and enhance the fairness and differentiated service effect among data with different priorities while ensuring the high-priority data transmission performance.

This invention belongs to the field of communication and network control technology. To address the problems of poor adaptability in non-ideal observation environments and the inability of a single optimization objective to meet various differentiated service requirements, and to overcome scheduling failures caused by network jitter or node failures leading to data loss, this invention provides: a time-sensitive network traffic scheduling method based on causal data completion. This method collects real-time traffic data from the current time-sensitive network (TSN) and constructs an irregular observation matrix; it uses a state reconstruction module based on neural Granger causality to complete the missing data in the observation matrix; it extracts robust spatiotemporal features with noise resistance from the completed observation matrix using a variational graph attention network; and it inputs these robust spatiotemporal features into a reinforcement learning decision network based on hierarchical optimization. Under the hard real-time constraint of priority critical time-triggered TT flow, it optimizes the best-effort BE flow transmission efficiency, ultimately generating a gated control list for execution. This invention is primarily applied in design and manufacturing applications.

The invention discloses an SD-WAN traffic scheduling and collaborative management method for a multi-cloud environment, and the method comprises the steps: deploying an information collection agent in the multi-cloud environment, collecting the cloud node resource state and SD-WAN link transmission quality information in real time, enabling a constructed joint model to dynamically reflect the real-time state of a network, and breaking through the limitation of a conventional static model; the multi-objective optimization algorithm quickly recalculates different service flow optimal paths according to the update model, so that the flow is helped to avoid a resource shortage area, and the network flexibility and reliability are improved; traffic is classified carefully, a personalized optimization target is set, respective optimal paths are obtained through independent processing of an algorithm, differentiated service guarantee is provided for various services, and the service performance and the user experience are improved; the collaborative management node realizes effective collaboration of the cloud node and the network equipment, sends a scheduling instruction according to an optimal path, can quickly respond and update the instruction when a network state changes, realizes unified scheduling management, ensures dynamic optimization of flow, and improves network collaborative work and management efficiency.

The invention relates to a communication method and device, communication equipment and a storage medium. The method comprises the following steps: acquiring a to-be-sent message corresponding to each application flow; the message to be sent comprises an inner layer differential service code point DSCP value; the inner-layer DSCP value represents the service priority of the application flow; for each to-be-sent message, according to the inner-layer DSCP value, determining a target Internet security protocol IPsec sub-tunnel matched with the to-be-sent message, and determining a DSCP value corresponding to the target IPsec sub-tunnel; and adding the DSCP value of the target IPsec sub-tunnel to an outer-layer internet interconnection protocol header of the message to be sent, and transmitting the message to be sent based on a priority sequence represented by the DSCP value of the target IPsec sub-tunnel. By adopting the method, the timely transmission of the application data of the high-priority service can be realized, and the high-priority service is ensured.

This invention discloses a master-slave game optimization method for differentiated service combinations in shared energy storage, taking into account the flexible adjustment capabilities of resources. Shared energy storage clusters are suitable for providing capacity leasing services, electricity retail services, and frequency regulation ancillary services. The method includes: constructing an upper-level model with the goal of maximizing the total revenue of the shared energy storage cluster; constructing a lower-level model with the goal of minimizing the energy consumption costs of energy storage users; obtaining a two-layer master-slave game optimization model based on the upper and lower-level models; and solving the two-layer master-slave game optimization model to determine the optimal service price of the shared energy storage cluster and the optimal energy consumption strategy for energy storage users. This invention enables shared energy storage operators to design a scientific and reasonable pricing mechanism, improving the revenue of shared energy storage while reducing the energy consumption costs for users.

A method includes obtaining a first packet data unit (PDU) set importance value for a first PDU set within a quality of service (QoS) flow. A first differentiated service code point (DSCP) value is allocated for the first PDU set based on the first PDU set importance value. A header of each transport network packet carrying a PDU in the first set of PDUs is marked with the allocated first DSCP value. Transmission of PDUs in the first set of PDUs is prioritized based on the allocated first DSCP value.

The invention discloses a multi-technology collaborative intelligent power grid communication system, the core of the system is a collaborative system composed of an end layer, a side layer, a management layer and a cloud layer, and a unified platform is used for carrying out global intelligent scheduling and safety endogenous guarantee; the end layer adopts a unified intelligent terminal and protocol adaptation and is used for eliminating terminal fragmentation, reducing data islands and enhancing interoperability between devices; the edge layer adopts a regional intelligent gateway and edge calculation and is used for responding to regional data real-time requirements and reducing cloud load pressure; the pipe layer adopts a heterogeneous fusion network pipeline and is used for covering a communication blind area and guaranteeing the service quality of differentiated services; the cloud layer adopts a unified network management and intelligent analysis platform and is used for constructing a systematic digital brain to cope with a complex operation and maintenance system and actively provide security defense; according to the invention, an elastic, intelligent and safe communication infrastructure is constructed through technology collaboration, data collaboration and management collaboration, and the system can adapt to new leading-edge technology development requirements.

The invention discloses a communication method and device, a program product and a storage medium. In the communication method, a terminal device can determine a device identifier of a first non-3GPP device based on device description information of the first non-3GPP device and a first mapping relationship, the first mapping relationship indicates a mapping relationship between one or more device description information and one or more device identifiers, and a mechanism for determining the device identifier is provided. The non-3GPP equipment can be distinguished based on the equipment identifier in the communication process, so that differentiated services can be provided for different non-3GPP equipment.

This invention discloses a dynamic mapping and forwarding method for cross-domain communication network slices based on an SRv6 Color-Mapping table, belonging to the field of communication network technology. The method includes: constructing a cross-domain network intelligent management and control platform; defining network slice service levels according to service requirements; calculating the optimal SRv6 policy path that meets constraints; and creating an SRv6 Color-Mapping table that represents "service level → SRv6 color value → ordered SID list corresponding to the optimal policy path." The network ingress node identifies the service level of service data packets and marks their corresponding color values. It then performs SRv6 encapsulation based on the SID list associated with the color values ​​and forwards the packets segment by segment according to the SID list, completing end-to-end cross-domain communication. The management and control platform monitors the network status in real time, dynamically updates the mapping table, and distributes the updates, achieving seamless path switching for service flows. This invention enables seamless service switching and automated management, effectively ensuring differentiated services and network reliability in complex heterogeneous environments.

The application belongs to the technical field of wireless communication, and relates to an Auracast broadcast source cooperative management system based on dynamic priority, which comprises the following modules: a context credential generation module, which generates a context credential; an opportunistic broadcast cluster construction module, which constructs an opportunistic broadcast cluster; a campaign message generation and distribution module, which is distributed in the opportunistic broadcast cluster; a distributed credential verification module, which outputs a list of valid competitors; a broadcast right arbitration calculation module, which determines the dynamic attribution of a priority broadcast token; an adaptive transmission strategy generation module, which generates an adaptive transmission strategy; and a broadcast stream transmission execution module, which transmits an Auracast audio broadcast stream. The application solves the problem that it is difficult to meet the signal conflict and differentiated service quality requirements in a multi-source coverage overlapping scene.

The application belongs to the technical field of data transmission, and particularly relates to a cloud server audio and video data transmission method based on an ARM architecture. The method comprises the following steps: determining an optimal segmentation mode based on a weighted combination of texture complexity, gradient information and interframe prediction residual energy of a current coding unit; dividing a sub-block based on the optimal segmentation mode, and determining whether to terminate the division according to a rate-distortion cost and a processing efficiency score of an ARM NEON instruction set; performing a bitwise exclusive OR operation on an ARM core physical identifier and a unit space position index to dynamically select an asymmetric integer transform core; generating a corresponding differentiated service code point according to a video frame type or content importance of current data, and setting the differentiated service code point into a packet header of a network data packet, so as to provide differentiated service quality guarantee in network transmission. The application solves the technical problems of insufficient hardware adaptation, low processing efficiency and poor transmission reliability in the prior art.