207 results about "Network emulation" patented technology

The invention provides a multi-level service priority dynamic scheduling simulation method and device, a medium and a product. The method comprises the following steps: constructing a priority label system; establishing a dynamic binding relationship between the service flow and the priority label; when a service layer generates a data packet, embedding a priority label for the data packet based on the dynamic binding relationship; extracting a priority label carried by the data packet on a protocol stack MAC layer, and ensuring that the priority label is unvarnished to a lower layer protocol in a lossless manner; and based on the priority labels carried by the extracted data packets, classifying the data packets into logic queues with corresponding priorities, and executing a differentiated scheduling strategy. The method can adapt to diversified requirements of data services of different types and priorities for network resources, effectively improves the simulation model accuracy, improves the simulation experiment efficiency and simulation real-time performance and reliability in a multi-service priority 5G communication network simulation scene, more accurately reflects the performance of a real network, and improves the simulation experience of the 5G communication network. And meanwhile, the simulation platform has higher expansibility and flexibility.

The invention discloses a digital twin architecture for a satellite-ground collaborative edge network, and belongs to the field of network simulation and intelligent management in the satellite internet. According to the digital twin architecture of the satellite-ground collaborative edge network provided by the invention, the operation state, the resource state and the association state of terminal equipment such as an unmanned aerial vehicle and edge equipment such as a satellite are returned through a sliced feeder line, and a digital twin model integrating a data layer, a model layer and a decision layer is established at a gateway station side. Based on the architecture, a satellite-ground collaborative model training task is oriented, and model training and aggregation are realized by utilizing a block chain technology. According to the architecture, full-life-cycle management of the satellite-ground collaborative edge network is realized, through real-time simulation and optimization decision, the digital and intelligent level of the satellite network is improved, the simulation precision, real-time performance and resource utilization efficiency of the network are improved, and efficient and stable operation of the satellite network in a complex dynamic environment is ensured.

The invention relates to the field of network simulation, in particular to a lossless Ethernet simulation model and a data processing method. The lossless Ethernet simulation model comprises a switch simulation model, a terminal simulation model and a network system simulation model; the switch simulation model has a switch modeling function, a lossless Ethernet flow control function, a fault injection function, a configuration loading function and a simulation result statistics function; the terminal simulation model has a terminal system modeling function, an RDMA modeling function, a flow control function, a configuration loading function and a simulation result statistics function; the network system simulation model has the functions of simulation information import, simulation model input configuration generation, VLAN management, network topology generation, network management, fault injection, simulation report management and simulation result analysis.

The invention provides a visual underwater sensor network simulation method, and relates to the technical field of underwater sensor networks, and the method comprises the steps: configuring network simulation parameters which comprise topological structure parameters, channel parameters and simulation parameters; inputting the channel parameters into an underwater acoustic calculation tool to generate an underwater acoustic multipath channel for simulation; the bit error rate BER of the multi-carrier MFSK underwater acoustic communication algorithm under the underwater acoustic multipath channel condition is calculated, and the bit error rate BER is input into the OTcl script; performing network simulation on the configured OTcl script by using an underwater network simulator; and displaying a network simulation result through a visual interface. The underwater sensor network simulation result can be displayed through the visual interface, the defect that current NS2-based underwater sensor network simulation software does not have a visual interface is overcome, a good man-machine interaction interface can be provided for a user, the development efficiency is improved, and the user is helped to better evaluate the performance of the underwater sensor network.

The invention discloses a network simulation method and device based on signal categories, equipment, a medium and a product. The method comprises: for each communication signal, inputting a fusion feature to a signal identification model to determine the category of the communication signal, the fusion feature being determined according to a time sequence feature and a spatial feature of the communication signal; constructing a model of the communication network based on a graph representation method, wherein each node in a graph represents network equipment in the communication network; for each category of the communication signals, optimizing the network topology of the model of the communication network with the goals of meeting the network performance requirements and minimizing the cost; the propagation performance of each category of communication signals in the communication network is predicted and optimized. According to the method, the category of the communication signals is determined by using the fusion features, in the constructed network model, network topology and propagation performance are optimized according to the category, the accuracy and robustness of network simulation are improved, corresponding optimization schemes are provided for various communication signals, and the communication performance of various communication signals is improved.

The embodiment of the invention provides a simulation method and device of a network-on-chip, electronic equipment and a storage medium, and relates to the technical field of the network-on-chip. The method comprises the steps of obtaining network simulation structure parameters, task simulation distribution parameters and performance optimization conditions; acquiring a simulation task of the network-on-chip; acquiring the simulation scale of the network-on-chip; and based on a solver of the satisfiability model theoretical model, obtaining an optimal node physical topology simulation result corresponding to the simulation task in the simulation scale under the condition that the network simulation structure parameters, the task simulation distribution parameters and the performance optimization conditions are satisfied. On one hand, the design difficulty of the network-on-chip can be reduced; and on the other hand, the optimal node physical topology simulation result obtained through the solver of the satisfiability model theoretical model has relatively high accuracy, has relatively strong reference significance for the design of the network-on-chip, and is beneficial to improving the design efficiency of the network-on-chip and improving the design accuracy of the network-on-chip.

The invention 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, and the method comprises the steps: obtaining 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; taking the computing power node as an intelligent agent to interact with the environment to generate an experience sample, and training a neural network by adopting a deep reinforcement learning method to obtain a preliminary task scheduling strategy; further optimizing the initial task scheduling by using an ant colony algorithm to obtain a final task scheduling strategy; and scheduling the simulation task by adopting the final task scheduling strategy. According to the method, during task scheduling, the real-time resource state of the computing power node is considered, the particularity of the tasks, the priority of the tasks and the dependency relationship between the tasks are also considered, the utilization efficiency of the computing power is improved, and the simulation time is shortened.

The invention relates to the technical field of communication, discloses a full-link channel modeling method for a high-fidelity air-sea cross-domain cluster network, and aims to solve the problem of stagnation of an air-sea cross-domain communication network simulation technology. Through a full-link channel modeling technology, influence factors of a radio channel and an underwater acoustic channel are considered, including relative distance, communication frequency, propagation loss, sea surface temperature and diffusion coefficient in the radio channel, and macroscopic multipath, microscopic multipath and Doppler frequency shift in the underwater acoustic channel. According to the method, related parameters are input, a Jakes model and Bellhop software are used for channel modeling, and finally channel impulse response is obtained through IFFT, so that the reliability and stability of a communication system in a complex environment are improved.

The embodiment of the invention provides a network simulation evaluation method and device, a storage medium and computer equipment, and the method comprises the steps: obtaining a simulation model obtained for network system simulation, and the simulation model comprises different simulation levels; determining to select a simulation index from each simulation hierarchy; determining a simulation evaluation value of each simulation index according to the index attribute characteristic of each simulation index; and performing index aggregation on the simulation evaluation value of each simulation index to obtain a total simulation evaluation value. Compared with the prior art that simulation evaluation is carried out from the similarity of the whole system level, and the evaluation accuracy is poor, different hierarchies can be simulated during simulation, different simulation indexes are set for different hierarchies, the simulation evaluation values of different simulation indexes are comprehensively evaluated, the final total simulation evaluation value is obtained, and the evaluation accuracy is improved. And evaluation accuracy is improved.

The invention belongs to the field of network bottleneck diagnosis, and discloses a host internal network delay diagnosis method based on a loopback test, which is characterized in that an RDMA network simulation environment is established by using NS-3 (Network Simulation 3) network simulation software based on a RoCE-v2 protocol, and an RDMA host internal network diagnosis tool is realized in the network. According to the tool, network bandwidth and delay in a host are used as measurement indexes, and the indexes are measured by carrying out loopback testing between RDMA NIC and PCIe endpoint in the host. After the measurement data is collected, the internal network condition of the host can be analyzed according to the data, and the internal bottleneck of the host is diagnosed according to the internal network condition.

The present disclosure belongs to the field of satellite network simulation, and in particular, relates to a link dynamic control method for a large-scale satellite network simulation platform. It is characterized in that the method includes: the eBPF program uses the device index as a key to search for the simulation start time of the current device from the eBPF Map; determines whether the simulation has started, and if not, re-searches the simulation start time of the current device; if the simulation has started, calculates the timestamp based on the system time and the simulation start time, and uses the timestamp and the device index as keys to search for the link status information of the current device at the current moment from the eBPF Map; the eBPF program executes the link control logic based on the eBPF according to the link status information. The present invention reduces the system resource overhead during formal simulation, can support large-scale dynamic link status control with finer time granularity, and will not affect the simulation logic of satellite nodes during formal simulation.

The invention provides a network simulation method, device and system based on digital twinning, and belongs to the technical field of network simulation, and the method comprises the steps: receiving real-time operation data of a physical layer device group in an actual network environment; performing preliminary analysis on the real-time operation data; uploading the real-time operation data and the preliminary analysis result to a network cloud decision platform under the condition of determining that the physical layer equipment group has a fault risk according to the preliminary analysis result; receiving a fault solution issued by the network cloud decision platform; performing simulation test on the fault solution by using a digital twin topology module; and a test result is uploaded to the network cloud decision-making platform, so that the network cloud decision-making platform determines the feasibility of the fault solution. According to the invention, all edge computing nodes are utilized to carry out simulation testing on the fault solution, full-architecture simulation based on the actual network environment is realized, and the deviation between the simulation result and the actual operation condition is reduced.

The invention relates to the technical field of satellites, and discloses a virtualization and distribution-based satellite network simulation method and system, which are applied to a satellite network simulation system, and the system comprises a main node and working nodes; the method comprises the following steps: receiving new satellite group topology information sent by the upstream through the main node; determining a corresponding target instruction through the main node based on a comparison result of the new satellite group topological information and pre-stored historical topological information; executing a corresponding simulation task through the working node based on the obtained target instruction; and updating the current state of the star group through the main node based on the obtained execution result feedback of the simulation task. According to the technical scheme provided by the invention, the construction cost of a simulation environment can be reduced, the network simulation efficiency can be improved, and further, larger-scale satellite network simulation can be borne.

The invention relates to the technical field of network security and network simulation, and discloses a malicious traffic remodeling method based on feature serialization. The method comprises the following steps: collecting traffic data of a target network environment, extracting serialization features of a load and a time interval, and further performing statistics to obtain session flow features; according to Pareto distribution, normal distribution, logarithmic normal distribution and Poisson distribution probability distribution models, serialization features conforming to target network flow features are generated, and the probability distribution model with the highest similarity with the target network flow is selected by calculating the Euclidean distance; and finally, on the basis of the model, remodeling the load and time interval sequence of the malicious traffic, and generating the network attack traffic which is difficult to detect. According to the method, the concealment of the malicious traffic is effectively improved, so that the malicious traffic is more difficult to identify by an existing detection system; the generated malicious traffic can effectively test and evaluate the capability of the network intrusion detection system.

The invention provides a network-on-chip simulation method and device, electronic equipment and a computer readable storage medium, and relates to the technical field of computers, and the method comprises the steps: determining each hardware unit for forming a network-on-chip, and determining an execution action included in the hardware unit in each execution cycle; constructing an execution code snippet of each hardware unit in an execution cycle through a preset compiling language according to execution actions included in the hardware units; constructing an on-chip network design file according to the respective execution code snippets of all the hardware units; and performing simulation operation on the network-on-chip design file to obtain a simulation operation result. According to the method, all execution actions of the hardware unit in each execution cycle are simulated, migration of the execution actions occurs as time goes on, and therefore circulation of the execution actions of the hardware unit in the execution cycle is simulated through scheduling of the simulation process, and a design file of the whole network-on-chip can be constructed more meticulously.

The invention discloses a simulation method, device and system and a storage medium. The network simulation service consumption entity can propose the expectation for achieving different simulation performance requirements, so that the network simulation service providing entity can obtain the model parameters according to the expectation and obtain the simulation model for simulation based on the model parameters instead of considering the simulation model with better comprehensive dimension for simulation in any scene, and the simulation efficiency of the network simulation service providing entity is improved. Simulation performance requirements of network simulation service consumption entities can be balanced, and simulation efficiency can be improved.

The invention provides a node allocation method in distributed network simulation, which comprises the following steps: an initialization step: according to a network topology structure of a distributed network, obtaining resource occupation parameters of each simulation node and bandwidth occupation parameters of links between the nodes, and obtaining resource parameters of each physical machine; a combination generation step of generating an allocation combination for allocating the simulation node to the physical machine based on the resource occupation parameter and the resource parameter; a node allocation step: based on the bandwidth occupancy parameter, obtaining the maximum bandwidth occupancy value of each allocation combination in the inter-machine link; and performing simulation node allocation by taking the allocation combination corresponding to the minimum value in all the maximum bandwidth occupation values as an optimal allocation scheme. The invention further provides a node distribution device in distributed network simulation, a computer readable storage medium and electronic equipment.

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 embodiment of the invention relates to the technical field of quantum communication, and discloses a quantum communication network simulation test platform and method, and the test platform comprises a scene simulation test frame, a pressure test module and a quantum channel attenuation simulator. The scene simulation test framework is used for simulating quantum communication network scenes in different running states, and the running states at least comprise running states of a quantum communication network in different distances, different noise environments and / or different attack scenes; the pressure test module is used for performing a pressure test in the quantum communication network scene simulated by the scene simulation test framework; and the quantum channel attenuation simulator is used for simulating quantum channel attenuation aiming at a quantum communication network scene in the testing process of the pressure testing module. By simulating quantum communication network scenes in running states under different distances, different noise environments and different attack scenes, the quantum secret communication network test scenes are more comprehensive, and the accuracy of test results is improved.

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 relates to a system (10) for emulating a variable-topology network, comprising a controller (20), a switching system (30) and network nodes (40). Each node comprises an emulation module for emulating a physical layer, and an application module with higher-level protocol layers to be tested. During execution of a test scenario, the emulation module of each node is configured to compute instantaneous information concerning the state of the node and instantaneous characteristics of the links from and to the node. The application module of the node is designed to transmit and receive packets via the emulation module, and to route the packets depending on the instantaneous information concerning the node and the links. Each emulation module is configured to control the transmission and reception of packets depending on the instantaneous characteristics of the communication links.

The invention discloses a progressive event-driven synchronous control method, which comprises the following steps of: performing parallel simulation, simultaneously starting a plurality of simulation processes, respectively simulating each core particle in a multi-core particle system, and managing the synchronization among the simulation processes by a global manager; on-demand synchronization: when the core particles simulated by the simulation process are in inter-core-particle communication, the global manager synchronizes the related processes; the process is synchronized, and the global manager ensures that other cross-process communication events earlier than the request are simulated; if a simulation process does not reach the time point, the process initiating the request is suspended by the global manager until the request can be executed; and network simulation and time sequence simulation: when the request can be executed, the global manager starts the inter-chip network simulator and simulates the communication event. According to the method, the accuracy and the operation efficiency of multi-core particle parallel simulation are remarkably improved, and the method is suitable for function verification and performance analysis of large-scale complex multi-core chips.

The embodiment of the invention provides a simulation method and device of a chip system and related equipment, and the method comprises the steps: obtaining the connection data of the chip system; the connection data comprises physical connection data, and the physical connection data is formed based on physical connection relations among chips in the chip system; extracting a power supply network simulation node of the chip system from the physical connection data, and constructing a power supply network structure of the chip system based on the extracted power supply network simulation node; and simulating the chip system based on the power network structure. According to the technical scheme provided by the embodiment of the invention, the reliability of a voltage drop electromigration simulation result can be improved.

The invention discloses a malicious traffic confrontation sample generation method based on fine-grained network simulation, and the method comprises the steps: constructing a simulation network through an NS-3 network simulator, and transmitting and receiving malicious traffic of a real application program in a Docker container through a TapBridge mechanism; the method comprises the following steps: collecting network environment parameters, protocol stack state information and data packet header data in real time in a transmission process of malicious traffic in a simulation network; based on a Markov decision process, a state transition diagram is constructed to limit an execution sequence and conditions of confusion actions, confusion operation is performed on malicious traffic in combination with network environment parameters, protocol stack state information and data packet header data which are acquired in real time, a confusion strategy is dynamically optimized in combination with a reward function, and a malicious traffic confrontation sample is obtained. The malicious traffic confrontation sample with excellent escape detection capability is stably generated in a complex dynamic network environment on the premise of ensuring normal communication, and the protocol compliance, the transmission effectiveness and the network environment adaptability of the malicious traffic confrontation sample are improved.

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 present invention provides a method, device, electronic device and storage medium for realizing a virtualized network, wherein the method comprises: obtaining a file to be virtualized in a target format; the file to be virtualized stores the corresponding field content configured for each device in the network topology diagram to be virtualized; the target format is the corresponding data format when the target network simulation simulator draws and stores the network topology diagram; based on the file to be virtualized, the instance interface of the target network simulation simulator is called, and the network simulation experiment topology diagram generated by the target network simulation simulator using the file to be virtualized is obtained. With this solution, there is no need to perform the topology drawing process and manual configuration process in the network simulation simulator. Even if multiple network simulation experiments need to be carried out, the network simulation experiment topology diagram can be quickly obtained by simply calling the instance interface of the network simulation simulator, thereby improving the efficiency of the network simulation experiment.

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.

Embodiments of the present application provide a chip system simulation method and device and related equipment, wherein the method comprises: obtaining connection data of a chip system; the connection data comprises physical connection data, which is formed based on the physical connection relationship between each chip in the chip system; performing chip system power network simulation node extraction on the physical connection data, and constructing a power network structure of the chip system based on the extracted power network simulation nodes; and simulating the chip system based on the power network structure. The technical solution provided by the embodiments of the present application can improve the reliability of the pressure drop electromigration simulation result.