90 results about "Network emulation" patented technology

The invention provides an automation system for network simulation and a computing device, and the automation system comprises a business model automation module, a simulation execution automation module, a simulation analysis automation module, a simulation analysis automation module and a simulation analysis automation module. The business model automation module receives the abstracted topology description and the abstracted traffic description analyzed according to the business model, and respectively generates specific detailed topology description and full traffic detailed description; the simulation execution automation module receives the detailed topology description and the full-flow detailed description, generates configuration information, automatically runs network simulation and accelerates execution; and the simulation analysis automation module is used for automatically capturing and archiving important intermediate results for data analysis. According to the technical scheme, complex simulation configuration tasks can be completed through simple structured configuration change or script parameter option adding execution, meanwhile, simulation efficiency is improved, and automatic, efficient and flexible data processing and analysis capacity is provided.

The invention discloses a virtual-real combined sky-ground multi-domain heterogeneous network cooperative computing simulation system and a virtual-real combined sky-ground multi-domain heterogeneous network cooperative computing simulation method. The system comprises a heterogeneous computing power prototype subsystem, a virtual simulation subsystem, a satellite-borne general computing terminal, a programmable network simulator, a heterogeneous resource management subsystem and a simulation verification system interface. Real hardware computing power characteristics are introduced through a physical board card, large-scale expansion is realized through virtual nodes, and authenticity and large-scale performance of simulation are considered; link parameters are generated according to a high-precision orbit dynamics model, and the fidelity of sky-ground network simulation is greatly improved; based on a mixed container arrangement technology, unified management and intelligent scheduling of sky, air and ground heterogeneous resources are realized, and a powerful platform is provided for verifying an advanced cross-domain collaborative algorithm; one set of system can support various simulation verification requirements of networking routing, task unloading, distributed cooperative computing, constellation cluster management and control and the like, and the research and development cost and complexity are reduced.

A container simulation network system based on a link autonomous agent is composed of a visual interaction module, a control plane module, a network simulation module and a resource management module. The modules perform information interaction and task collaboration through a uniform interface so as to realize automatic construction and management of the simulation network, a two-layer architecture design of network bridge containers and user containers is adopted, and each user container corresponds to one network bridge container; a link autonomous agent module is deployed in the network bridge container and is used for collecting a link state, calculating a performance adaptation degree and executing a scheduling operation bit; the visual interaction module realizes visual monitoring and interaction control of a simulation state; the control plane module is responsible for simulation scene analysis, link parameter generation and global scheduling management; and the network simulation module is responsible for calling a container generation tool to generate a specific container instance and carrying out resource monitoring and adjustment on the container.

The invention discloses an implementation method of an ad hoc network anti-interference system based on deep reinforcement learning, and the method comprises the steps: 1, constructing a simulation network environment based on a network simulator 3 (NS-3) simulation platform and an OpenAI Gym interface, and enabling the simulation network environment to be used for collecting a channel state in real time and feeding back the channel state to an intelligent agent; and 2, after receiving the network state, the intelligent agent feeds back a decision result obtained by learning to a network node to guide channel switching in real time. And step 3, fusing mechanisms such as a long short-term memory (LSTM) network, a competition network structure, a double deep Q network, a double deep Q network, a prioritized experience replay (PER) and the like, designing a PER-D3RQN algorithm, and carrying out efficient prediction on an interference time sequence rule. According to the method, the accuracy of channel selection can be remarkably improved in multiple interference modes, the network performance and the anti-interference robustness are improved, and the performance superior to that of a traditional deep Q-network (DQN) and a traditional frequency hopping strategy is shown.

The invention relates to the technical field of network simulation, and discloses a distributed network node evolution simulation method and system based on a time-delay grid model. The method comprises the following steps: establishing a spatial distribution time-delay model of distributed network nodes, configuring a dynamic time-delay calculation model for each node, and fusing a real-time physical distance, communication link quality, resource load and packet loss rate; defining a node state evolution rule, and dynamically adjusting an evolution process based on a node state, a historical state and a neighbor node state; a future time delay value is predicted, and simulation deviation caused by time delay is compensated in real time through a PID control mechanism; and constructing a plurality of network environments for simulation, quantitatively analyzing independent influences and comprehensive influences of various delay factors, and optimizing the distributed network based on an analysis result. According to the invention, the accuracy and stability of distributed network simulation can be effectively improved.

The invention relates to the technical field of digital twinning technology and network communication optimization, in particular to a method and a system of a digital twinning network simulation driven NAT (Network Address Translation) optimization engine, comprising the following steps: constructing a virtualization mapping model of a physical network; simulating an NAT (Network Address Translation) process in a digital twin environment through a real-time simulation engine; dynamically adjusting an NAT (Network Address Translation) rule and a load balancing strategy of a physical network based on a simulation result; executing safety protection operation in combination with a machine learning algorithm; the method has the beneficial effects that a digital twinning technology and NAT optimization are deeply fused, and a visual and visual management platform is provided for network management personnel. Management personnel can monitor the network state and the NAT performance in real time through the platform and deeply analyze the network problem root by means of a simulation result, and complex field troubleshooting and manual strategy adjustment do not need to be carried out. Therefore, the difficulty and the cost of network management are reduced, the accuracy and the timeliness of management are improved, and the network management is promoted to develop towards the intelligentization and automation directions.

The invention provides a financial industry low-code platform development method and system based on credential adaptation, and relates to the technical field of credential industries, and the method comprises the steps: 1, mapping interactive interfaces of a core business entity and three associated business entities into four control points in a three-dimensional business topological space, so as to determine a continuous business curved surface, and calculating the normal vector directions of the continuous service curved surface at the four control points, adjusting the connection strength and the data flow direction between the service entities corresponding to the four control points according to the included angle relationship between the normal vector directions of the four control points, and constructing the closed service object network. According to the method, the business network, the simulation model and the adaptation assembly of the credential creation adaptation are constructed, the reusable assets are formed, low-code visual arrangement and credential creation environment full-process testing are combined, efficient development, asset reuse and stable landing of the financial industry credential creation adaptation application are achieved, and business process compliance and system operation reliability are guaranteed.

The invention provides an RPKI deployment influence assessment method and system based on virtual-real combination network simulation, and relates to the technical field of network communication security. The method specifically comprises the following steps: constructing a dynamically configurable high-fidelity network simulation environment based on a network simulation platform, a public internet data source, a routing protocol suite, an RPKI tool suite and a load test tool suite; constructing a data collector outside the network simulation environment, and carrying out protocol data collection, network flow collection and index data collection; and starting an abnormal event, and carrying out ROV verification analysis based on a Patricia tree and anomaly detection based on combination of K-Sigma and mode matching according to the collected data. According to the technical scheme, the potential influence of any ROA change can be accurately simulated, and the efficiency and accuracy of ROV verification analysis and the accuracy of abnormal event monitoring judgment during large-scale ROA deployment are improved.

This application relates to a method, system, and medium for simulating the physical layer of an underwater acoustic network in a network simulator. It includes: a mirror event scheduler monitoring transmission events at the physical layer; when any node triggers a transmission event, the mirror event scheduler adds the transmission event to a preset micro-batch buffer for buffering; when preset conditions are met, the mirror event scheduler performs micro-batch aggregation processing on all current transmission events in the micro-batch buffer; the mirror event scheduler generates a transmission signal based on the micro-batch aggregation result; the mirror event scheduler generates an uplink parameter file based on the transmission signal and sends it to the channel simulation end; the channel simulation end determines the target channel impulse response; the channel simulation end generates a downlink parameter file based on the target channel impulse response and the transmission signal and returns it to the network simulation end; the mirror event scheduler in the network simulation end processes the corresponding reception events based on the downlink parameter file. This application can avoid the interference underestimation and collision misjudgment caused by traditional packet-by-packet processing.

The invention discloses an efficiency evaluation method and system based on air-ground integrated network analogue simulation confrontation, and relates to the technical field of network simulation and efficiency evaluation. The method comprises the following steps: constructing a space-ground integrated network topology simulation model by using a simulation engine; injecting a confrontation event, and simulating a confrontation scene; collecting network performance index data in the confrontation scene; on the basis of the collected index data, a weighted average method is adopted, and project weights included in all levels in a pre-constructed two-level performance evaluation system are utilized, a second-level score is firstly calculated, and then a first-level score is calculated on the basis of the second-level score; based on the score of the first level, utilizing a fuzzy evaluation method to obtain a fuzzy efficiency level of the space-ground integrated network; and taking the score of the first level and the fuzzy efficiency level as an efficiency evaluation result. According to the method, accurate reproduction of a multi-dimensional dynamic scene and closed-loop integration of simulation evaluation can be realized. And meanwhile, a multi-algorithm fusion method is adopted, so that the accuracy and robustness of evaluation are improved.

The invention relates to a verification system and a verification method for a security protection application. The system comprises a network attack simulation engine and verification equipment, the network attack simulation engine is connected with the verification equipment through a network; the network attack simulation engine comprises a behavior mapping module, a logic mapping module, a three-link linkage module and a zero-day effect substitute module; the behavior mapping module is respectively connected with the logic mapping module and the three-link linkage module; and the logic mapping module is connected with the three-link linkage module. According to the verification system, through the zero-day effect substitute module, the verification system of the security protection application can simulate and test the influence of unknown vulnerability attacks under the condition that no real vulnerability codes exist, and the coverage of network simulation attacks of the verification system of the security protection application is improved; the verification system of the security protection application ensures that the defensive performance of the security protection application can be comprehensively evaluated when the network simulation attack is coped with through the linkage of the network attack simulation engine and the verification equipment.

The invention belongs to the field of satellite network security, and discloses an attack and defense drilling system construction system and method based on a satellite network terminal side target range, and the system comprises a firmware vulnerability mining module, a satellite network simulation module, an attack generation module, a drilling verification module, and a threat intelligent portrait module. And attack and defense drilling is completed through the attack and defense drilling system. According to the method, high-precision verification and quantitative evaluation of the security risk of the satellite network terminal side can be realized through combination of the satellite-ground integrated simulation environment and the firmware vulnerability-driven attack drilling.

The invention discloses a network simulation method, device and equipment based on digital twinning and a medium. The method comprises the following steps: carrying out initial simulation deployment of a target network on a pre-constructed three-dimensional digital scene containing a virtual entity; acquiring multi-source state data of a corresponding physical entity in real time, so as to drive the virtual entity to move in the three-dimensional digital scene in real time through the multi-source state data, and acquiring virtual state data of the virtual entity, so as to update channel parameters of a target network in real time according to the virtual state data; and driving a target network to operate through the channel parameters, continuously monitoring performance data of the target network, and optimizing the target network according to the performance data to realize network simulation. According to the method, the accuracy of a network simulation result can be improved by constructing a network digital twin environment interacting with a real physical world in real time.

The application relates to the technical field of computing power scheduling, in particular to a computing power scheduling method and system applied to a large-scale network simulation system.The method comprises the following steps: acquiring a resource occupation state information set of all computing power nodes; constructing a task queue of all computing power nodes; setting deep reinforcement learning parameters and initializing a neural network; interacting with the environment to generate experience samples by taking the computing power node as an agent; training the neural network by using a deep reinforcement learning method to obtain a preliminary task scheduling strategy; further optimizing the preliminary task scheduling by using an ant colony algorithm to obtain a final task scheduling strategy; and scheduling simulation tasks by using the final task scheduling strategy.In the task scheduling, not only the real-time resource state of the computing power node is considered, but also the particularity of the task, the priority of the task and the dependency relationship between the tasks are considered, so that the utilization efficiency of the computing power is improved, and the simulation time is reduced.

This invention provides a modeling method and simulation system for complex mobile communication networks, belonging to the field of communication network simulation technology. The system includes a communication network model initialization module, a scenario data parsing module, a communication network state update module, a communication network model data management module, a communication link connectivity calculation module, a communication link seed edge selection module, a classical graph theory algorithm module, and an information communication performance calculation module. This invention first uses a seed edge algorithm to select the primary link, reducing redundant communication links to backup links. Then, it uses a classical graph theory algorithm to abstract the communication network in operation into a weighted undirected graph, thus simplifying, abstracting, and modeling complex mobile communication networks, reducing the complexity of topology analysis, and simplifying communication network solution. This invention supports communication performance calculation during the simulation process, effectively meeting the needs of communication network models in the simulation field.

The invention provides an interactive drilling system and method for a shipping network security simulation environment, and relates to the field of network security. The simulation environment layer is used for constructing a high-fidelity shipping network simulation environment, integrating a ship communication protocol simulation module and a key service system virtualization module, generating a standardized data stream and simulating a real shipping network operation state; the cooperative control layer is used for supporting parallel operation of multiple roles in a unified virtual environment and executing a preset task based on a task-driven multi-user cooperative platform; attack behaviors and system responses are dynamically generated through a real-time event triggering mechanism, and interactive drilling is achieved; the multiple roles comprise commanders, technicians and red and blue confrontation teams; the interaction feedback layer is used for realizing a real-time event triggering and dynamic feedback mechanism, and dynamically adjusting attack intensity, a response strategy and drilling difficulty according to behavior performance in a drilling process; a drill evaluation report is generated through behavior data analysis, and key indexes are quantified.

The invention discloses a test system for a remote diagnosis platform. The test system comprises an upper computer, a programmable power supply, a CAN network simulation board card and an entity ECU (Electronic Control Unit), such as a TBOX and a gateway, wherein the upper computer is used for locally running a remote diagnosis platform and a test program; the programmable power supply is used for supplying power to the entity ECU; the CAN network simulation board card is used for simulating a real vehicle network environment; the entity ECU is used as a test object, the TBOX and the gateway are connected through a plurality of diagnosis CAN network segments, and each diagnosis CAN network segment is provided with a plurality of virtual controller nodes. According to the invention, a rack system is established, a core controller related to remote diagnosis is subjected to physical carrying, other controllers are virtualized, and interaction is carried out by establishing a controlled simulation model, so that multi-dimensional system-level testing is carried out on the whole remote diagnosis platform; and full coverage of fault code reading and fault code simulation and reporting scenes of multiple controllers can be realized.

The invention provides a model training method and device, a network simulation method and device, equipment and a medium, and is applied to the technical field of wireless communication, and the method comprises the steps: inputting the state data of a first sample cell into a pre-trained first comparison learning model, and obtaining the state features of the first sample cell; inputting the geographical environment picture data of the first sample cell into a pre-trained second comparison learning model to obtain geographical environment characteristics of the first sample cell; inputting the state feature, the geographical environment feature and the simulation time data of the first sample cell into an initial diffusion model, and obtaining a prediction performance index based on the simulation time data through the diffusion model; and training the diffusion model based on the predicted performance index and the actual performance index to obtain a trained diffusion model. According to the method, the efficiency of the whole network simulation process can be improved by comparing the general characteristics of the cells extracted by the learning model.

The present disclosure provides a neuron cluster allocation method and device for network simulation, the method comprising: obtaining a plurality of target neuron clusters corresponding to a neural network; pre-allocating the plurality of target neuron clusters to a plurality of processing cores, wherein each of at least some of the processing cores corresponds to pre-allocation of at least one target neuron cluster, and the size of the current cluster memory occupied by all target neuron clusters pre-allocated to the processing cores is less than or equal to the current available cluster memory size corresponding to the processing cores, the current available cluster memory size being equal to the difference between the available memory size and the current preset routing memory size; obtaining an estimated routing memory size currently required to be occupied by all target neuron clusters pre-allocated in the processing cores; when the estimated routing memory size corresponding to at least one of the processing cores is greater than the current preset routing memory size, adjusting the current preset routing memory size, and returning to the step of pre-allocating the plurality of target neuron clusters to the plurality of processing cores of the core system.

The invention discloses a target range resource reuse and security isolation method and system in a high-concurrency scene, and belongs to the technical field of network simulation. The method comprises the following steps: receiving a network topology and initial network parameters defined by a user, and storing the network topology and initial network parameters as a topology description file; the system supports concurrent receiving and processing of a plurality of independent instantiation requests for the same topology; distributing a unique identifier for the instance corresponding to each request; for each instance, quickly cloning the virtual device based on a copy-on-write mechanism; creating an independent network namespace for each instance, distributing a unique VXLAN network identifier from the global VNI pool, and injecting the unique VXLAN network identifier into the namespace; automatically injecting the initial network parameters as fixed configuration into each device in an instance; and finally, accessing the equipment into the exclusive namespace and starting the equipment. According to the invention, the problems of large resource consumption and difficult network isolation in a large-scale concurrent simulation scene are solved, and the concurrent processing capability and the operation efficiency of a target range system are remarkably improved.

The invention discloses an ad hoc network simulation method based on network virtualization, belongs to the technical field of computer communication, and aims to solve the problems of insufficient compatibility, inflexible link control and weak topology time-varying simulation capability of traditional ad hoc network simulation. The core of the system is that a simulation architecture comprising a simulation configuration module, a service application module, a communication node module, an analog channel module and a data acquisition module is constructed, service application and a real equipment protocol stack are packaged through a container virtualization technology, and a real product and an upper-layer service application software protocol are supported to be directly deployed without transplantation. The system is compatible with a two-layer Ethernet and a three-layer IP protocol, integrates a communication link electromagnetic propagation model, is combined with OpenvSwitch and TC tools, is matched with a software defined network technology to control link quality and network topology time-varying characteristics, is adaptive to static and dynamic topology scenes, improves simulation authenticity and flexibility, and provides reliable support for ad hoc network testing.

The application discloses a user scheduling-oriented calculation unloading method for an edge cell-free network, and relates to the technical field of edge computing (MEC) and cell-free network. After modeling an MEC-assisted cell-free communication model and a parallel calculation unloading model to construct an uplink network simulation environment, a joint optimization calculation unloading, user scheduling and calculation resource allocation strategy (JCSCS) model considering limited orthogonal pilot resources and edge calculation resources is constructed, deep reinforcement learning training based on a proximal policy optimization (PPO) is carried out in the uplink network simulation environment, and finally, the best calculation unloading strategy, user scheduling strategy and calculation resource allocation strategy are obtained through the PPO. The uplink channel is divided into multiple orthogonal sub-channels in the application, user equipment is dynamically scheduled to the sub-channels for unloading, and the influence of multi-user interference and pilot contamination on unloading delay can be significantly reduced.

The application relates to a reinforcement learning congestion control method based on time series modeling of a Transformer, and belongs to the technical fields of communication networks and artificial intelligence, and comprises the following specific steps: step 1: network simulation is performed at an NS3 end to generate simulated network data; step 2: the generated simulated network data is sent to a simulated TCP-RL protocol, the TCP-RL protocol simulates the sending of data packets, delay, packet loss and the return of ACK; step 3: a congestion control RL environment at a python end; the simulated network data sent by the NS3 end is received, is converted into observation data and is sent to a reinforcement learning intelligent agent; step 4: the reinforcement learning intelligent agent at the python end analyzes the received observation data, forms a history sequence, dynamically pays attention to the real-time situation of data sending and returns the congestion control result of analysis and decision to the simulation network environment of the NS3 end as an action in reinforcement learning. The application can make the congestion control effect more optimal and more stable compared with a traditional algorithm.

The application discloses a network simulation test method and device, equipment and a storage medium. Resource information of a computing cluster and topology data corresponding to a plurality of network element nodes of a network to be simulated are acquired. The network element nodes are dynamically allocated according to the topology data and the resource information, and computing nodes corresponding to each network element node are determined in the computing cluster, so that elastic scheduling of resources is realized under the premise of ensuring simulation authenticity. An image file is pulled on the computing node and a node instance is created, network bridging is performed according to the topology data, and all node instances are started in batches, and then configuration information to be tested is issued to the node instances, route table information corresponding to the node instances is collected, and a test result corresponding to the configuration information is obtained according to the route table information. The application can improve the efficiency and accuracy of network simulation test. The technical scheme of the application can be widely applied in the field of network technology.

The application discloses a low-altitude three-dimensional network simulation and evaluation method and device and electronic equipment, and relates to the technical field of communication. The method comprises the following steps: determining a center line of a target airspace, and selecting a plurality of sampling points in the target airspace based on the center line, a preset distance step, a plane buffer distance and a preset angle step, wherein the sampling points are uniformly distributed in the target airspace; performing network coverage simulation on the target airspace based on a preset network planning scheme, and collecting simulation data of the sampling points; determining network construction indexes and service indexes based on the simulation data of the sampling points, and determining a network performance evaluation result of the preset network planning scheme based on the network construction indexes and the service indexes. Thus, network simulation and evaluation of dynamic routes or a full three-dimensional space are realized, and the accuracy of network evaluation in a three-dimensional space is improved.

The invention discloses an FC network simulation method and device based on a simulation platform and electronic equipment, and relates to the technical field of optical communication network simulation, and the method comprises the steps: configuring simulation parameters, constructing an FC node model, and generating an FC message. And an FC switch model is constructed based on the simulation parameters, the FC switch model comprises a switch port model, a message distribution model and a switch processor model, the switch port model comprises cascade ports, and accurate simulation of a large-scale network is realized. Sending the FC message to a switch port model through the FC node model, and uploading the FC message to a message distribution model through the switch port model; based on a message distribution model, distributing the FC message to a switch processor model or a cascade port according to the message domain information; according to the method, the FC message is cached based on the switch processor model or the cascade port, and is forwarded to the corresponding target node model based on the priority, so that a reliable distribution mechanism is realized, and the simulation adaptability is improved.

The application discloses a kind of based on topological control and MPR selection optimization's heterogeneous self-organizing network OLSR protocol implementation method, this method is first by calculating link quality factor LF and is clustered, to form stable cluster structure.Subsequently, using AOW clustering algorithm, according to the node's various factors Selection suitable node assumes cluster head, reduces the frequency and related overhead of cluster head replacement.In addition, to ensure the connectivity between each cluster and form a complete network topology, based on the design concept of cross-layer routing, introduce the multi-frequency clustering inter-cluster connection algorithm based on TDMA protocol.Through continuous maintenance topological routing.Introduce a link stability factor based on laser transceiver device scanning angle, to optimize MPR selection mechanism.Has been realized in EXata network simulation environment, and is verified by experiment.The optimized protocol of the application is more excellent in the environment of high transmission rate requirement, high mobility and atmospheric attenuation, effectively improves the performance and reliability of network.

The invention discloses a high-speed processing and forwarding simulation method for a spatial network, and belongs to the technical field of network simulation. The implementation scheme comprises the following steps: constructing spatial network simulation nodes for a to-be-simulated spatial network scene, configuring and initializing a vector data packet processing component for each simulation node, and realizing scale deployment of the simulation nodes; according to link communication requirements and scale deployment requirements, vector data packet processing components are configured in simulation nodes at the two ends of a simulation link to construct the simulation link; constructing a simulation link attribute control mechanism, and performing dynamic configuration of simulation link attributes in each time slot; simulation link switching is carried out based on a smooth switching mechanism in cooperation with a vector data packet processing component; capturing and analyzing target data in a simulation process by adopting a simulation data automatic acquisition method; according to the invention, while a space network simulation function is realized, the requirements of high-speed processing and forwarding of a communication link in a high throughput scene are met, and a more accurate network simulation effect is realized.

This application discloses an FC network simulation method, apparatus, and electronic device based on a simulation platform, relating to the field of optical communication network simulation technology. The method includes: configuring simulation parameters and constructing an FC node model to generate FC packets. An FC switch model is constructed based on the simulation parameters, including a switch port model, a message distribution model, and a switch processor model. The switch port model includes cascaded ports, achieving accurate simulation of large-scale networks. FC packets are sent from the FC node model to the switch port model and then uploaded to the message distribution model via the switch port model. Based on the message distribution model, the FC packets are distributed to the switch processor model or cascaded ports according to packet field information. Based on the switch processor model or cascaded ports, the FC packets are cached and forwarded to the corresponding target node model based on priority, achieving a reliable distribution mechanism and improving the adaptability of the simulation.

The application relates to the technical field of network simulation, in particular to a network simulation method and device, computer equipment and computer program product. The method provided by the application comprises the following steps: obtaining network topology information and service information of a network to be simulated; constructing a simulation network matched with the network to be simulated in a preset simulation environment according to the network topology information, triggering routing convergence based on a preset internal gateway protocol, and enabling the simulation network to reach a stable state; obtaining network state information of the simulation network after the simulation network reaches the stable state, and performing service path calculation and statistics in a preset numerical simulation model according to the network state information and the service information, and generating a simulation result of the network to be simulated. The method provided by the application realizes network simulation considering the limitations of simulation scale and calculation efficiency.