18 results about "Software network" patented technology

Systems and methods for virtual machine networking can include detecting, by a virtual machine (VM), a primary virtual Network Interface Controller (vNIC) configured with a first media access control (MAC) address assigned to the VM by a hypervisor running on a host computer system, and detecting a standby vNIC configured with a second MAC address. They can further include binding a software Network Interface Controller (NIC) configured with a third MAC address to the primary vNIC and the standby vNIC, and selecting a vNIC from among those two vNICs for use by the software NIC for communicating network data packets. Additionally, they can include assigning the third MAC address to the selected vNIC, and communicating network data packets through the software NIC using the third MAC address.

The invention discloses a non-metal part buckle and backboard automatic identification method and device, electronic equipment and a storage medium, and relates to the field of three-dimensional design, and the method comprises the steps: obtaining a point cloud data set needed for PointNet + + model segmentation training based on grid division software and network division software; inputting the point cloud data set into a PointNet + + model for training to obtain a model weight file; inputting a weight file into the test set to obtain a category to which each point in the test set belongs; according to the category of each point, marking the category of the point on the back plate corresponding to the buckle based on a PointNet + + model; obtaining a mesh generation software buckle and a backplate retrieving program; and according to the mesh division software buckle and the backplane retrieval program, respectively marking the surfaces belonging to the backplane corresponding to the buckle in the model. Through the above scheme, the component segmentation technology plate of the PointNet + + model is combined with the secondary development technology in the grid division software, automation of the buckle and backboard identification process in the non-metal part is realized, the simulation time in the automobile development process can be effectively shortened, and the labor cost is reduced.

A system and method for creating hybrid cluster deployments are disclosed. The system includes a first framework having a software networking layer, the first framework including a container network interface for accessing a client run on a pod of the first framework. A second framework has a head node and one or more working nodes configured in a cluster. A secure connection between the client in the first framework and the head node in the second framework. The secure connection configured to communicate requests from the client to the head node.

The invention discloses a method-level test case sorting method based on change measurement and defect severity prediction, which comprises the following steps of: constructing an abstract syntax tree of each method, and analyzing differences in different software versions; the method comprises the following steps: abstracting a calling relation of a software runtime method into a software network MSN, extracting a network complexity index and a source code level measurement index of each method, constructing a defect severity prediction data set by combining the defect severity in the method, and constructing a defect severity prediction model by using a machine learning classifier to predict the defect severity in the method; and evaluating the test importance of the method based on the change measurement of the method and the predicted value of the defect severity, evaluating the priority of the test cases in combination with the coverage information of the test cases, and executing the test cases according to the priority sequence. According to the method, the change size of the method and the severity of the defect are considered, the method is of great significance in improving the regression test efficiency and improving the software quality, and technical support is provided for developing high-credibility software.

The invention discloses a software change influence modeling and simulation analysis method based on a large model, which comprises the following steps: S1, acquiring a software source code, constructing a structured cue word comprising a software model element definition, a mapping rule, a model structure template and an analysis example, and inputting the cue word and the source code into the large model, outputting a software model containing a node set and an edge set; s2, analyzing the software model to construct a software network, comparing edge attributes of the software model before and after the change to determine a change point, traversing the software network through depth-first search to execute variable transmission and expression calculation, recording the use condition of a change mark variable, and generating statistical data of the calling times of nodes and edges and the influenced calling times; and S3, substituting the statistical data into a calculation formula of the calling frequency deviation, the influence intensity, the influence range and the network diameter ratio, and calculating to obtain four quantitative evaluation index values. And finally realizing quantitative software change influence analysis.

Method for analyzing a mechatronic system, wherein the mechatronic system has one or more functions, the functions comprising one or more hardware and / or software functions, and in the method - a first network (20) in the form of a tree graph with several hierarchy levels and nodes (201, 202, 203, 204, 205, 206) arranged in the hierarchy levels is provided, wherein the nodes (201-206) are each representative of one of the functions of the mechatronic system and are linked to each other via one or more logical operators, such that the tree graph represents dependencies between the functions represented by the nodes (201-206), wherein the top hierarchy level has a single node (201) as the initial node, - a node of the tree graph of the first network (20) is specified as the first trigger node, - Software network data is provided that is representative of the software functions of the mechatronic system and their dependencies, - depending on the first trigger node and the software network data, a second network (30) in the form of a tree graph with several hierarchy levels and nodes (301, 302, 303, 304, 305) arranged in the hierarchy levels is determined, wherein the nodes (301-305) are each representative of one of the software functions of the mechatronic system and are linked to each other via one or more logical operators, such that the tree graph represents dependencies between the software functions represented by the nodes (301-305), wherein the top hierarchy level has a single node (301) as the initial node, and - depending on the first network of action (20) and the second network of action (30), the mechatronic system is analyzed, wherein an analysis of the mechatronic system includes that - the first network (20) is extended by the second network (30) such that the first trigger node of the first network (20) corresponds to the initial node of the second network (30), and - the mechatronic system is analyzed depending on the extended first network of action (40), wherein the mechatronic system has one or more diagnostic functions that are representative of one or more software functions for diagnosing the mechatronic system, in which - a node of the tree graph of the extended first network (40) is specified as the second trigger node, - one of the diagnostic functions is specified and assigned to the second trigger node, - Diagnostic network data is provided that is representative of the diagnostic functions of the mechatronic system and their dependencies, - depending on the second trigger node and the diagnostic network data, a third network (50) is determined in the form of a tree graph with several hierarchy levels and nodes (501, 502, 503, 504, 505) arranged in the hierarchy levels, wherein the nodes (501-505) are each representative of one of the diagnostic functions of the mechatronic system and are linked to each other via one or more logical operators, such that the tree graph represents dependencies between the diagnostic functions represented by the nodes (501-505), wherein the top hierarchy level has a single node (501) as the initial node, such that the second trigger node of the extended first network (40) corresponds to the initial node of the third network (50), and - depending on the extended first network (40) and the third network (50) the mechatronic system is analyzed.

The application discloses a kind of digital security intelligent terminal of water affair management.It is based on KVM virtualization bottom layer platform to the next generation software network firewall / log auditing system, data interconnection front system, data edge computing node by fusing communication network architecture, virtualization deployment is carried out, and a set of intensive, fractal full virtualization architecture including VServer virtual host, Vsan virtual storage, Vnet virtual network, Vsafe virtual security interconnection, Vservice virtual service, Vmanage unified virtual management is built.The beneficial effects of the application are: the security communication of edge computing node end to end is realized, reasonable isolation, function duplication, increase capacity, extension range;Reach network layer isolation between services, while improving the security of network in basic communication layer and data application layer;Complete the communication demand of service large architecture isolation, small part intercommunication.

This invention discloses a software fault location method based on network spectrum, comprising the following steps: collecting the source code of the software under test; establishing a software network based on reverse engineering; designing and executing software test cases, recording their coverage information and execution results, and establishing a module-level program spectrum; establishing a network spectrum containing program spectrum information based on the software network established by expanding the program spectrum; reducing the size of the network spectrum based on path similarity analysis to achieve feature dimensionality reduction; constructing a feature matrix and an adjacency matrix representing the software network structure based on the reduced network spectrum; and using a graph neural network to locate software faults based on the adjacency matrix and the feature matrix. This invention can complete the construction of a software fault location technology based on network spectrum. This invention can help software testers accelerate the location of software faults during testing, thereby updating the software and improving its reliability, and has practical value.

A novel LPWAN system and method of operating such a system is disclosed. The network deploys a plurality of endpoints communicating with at least one radio. Each radio in the system communicates, in turn, with a single basestation. The single basestation enables simplified network management (e.g. —endpoint admission, etc.) and basestation maintenance (e.g. —software updates, etc.) and reduces network deployment costs, as the single basestation device serves multiple radios over multiple coverage areas. The single basestation can be a software network core executed on a service device / server, such as a cloud SaaS service, allowing the computational capacity of the basestation to be scaled, as necessary, to service the network. The single basestation can also execute network cores for two or more network standards By having multiple radios provide their received signals to the single basestation, signal processing algorithms which can process multiple received versions of a signal to enhance the signal's effective SNR can also be employed.

The present invention discloses a computer equipment fault monitoring system and method based on artificial intelligence, which relates to the technical field of computer equipment fault monitoring. The system includes data access, semantic analysis, knowledge graph construction, dynamic semantic association, data fusion processing, decision output and adaptive optimization modules. The data access module collects and standardizes hardware, software and network data; the semantic analysis module extracts and enhances semantic labels; the knowledge graph construction module forms a data semantic relationship network; the dynamic semantic association module screens potential semantic relationships; the data fusion processing module generates multi-dimensional feature vectors; the decision output module triggers fault warning; and the adaptive optimization module feeds back the knowledge graph construction. The method solves the problems of multi-source data alignment, semantic fusion and dynamic adaptation through event-driven interpolation, dynamic weight fusion, closed-loop feedback optimization, etc., improves fault monitoring accuracy and system adaptability, and is suitable for fault monitoring and early warning of computer equipment.

The invention relates to the technical field of avionics system testing, in particular to an avionics test management system which comprises a test master control system, a data management center and a test simulation network. The test master control system comprises an industrial personal computer, a display, a keyboard mouse, master control software and script management software; the data management center comprises a disk array, a display, a keyboard mouse, product information management software, test data management software, data retrieval software and test report output software; the test simulation network comprises an Ethernet switch, simulation interface definition software and a network communication library. According to the invention, control of the test process and the state of the test equipment and management of the test script are realized through the master control software for the test simulation network, the data of the test process can be collected, judged, stored and managed in real time, the application is simple, an electronic test report is output, a paper test report is cancelled, the verification process is simplified, and the verification efficiency is improved. And the operation efficiency is improved.

The application relates to a VXLAN test method and system of an SDN cloud network. The method comprises the following steps: deploying a test environment, wherein the test environment comprises a virtual machine, an SDN cloud network, a public network and a load balancing device; the virtual machine sends a test message to the public network; the SDN cloud network encapsulates the test message and sends the encapsulated test message to the load balancing device through a first VXLAN tunnel; the load balancing device decapsulates the test message and encapsulates the test message again; the load balancing device sends the test message encapsulated again to the SDN cloud network through the first VXLAN tunnel; and the SDN cloud network decapsulates the test message and sends the test message to the public network to test the functionality. The VXLAN test method and system of the SDN cloud network can specify a route of the SDN cloud network, establish a VXLAN tunnel between a hardware network and a software network, and comprehensively verify the functionality of the SDN public cloud based on IP network intercommunication.

The invention relates to the technical field of software network online upgrading, and discloses a method and a system for remotely controlling upgrading of an audio processor based on a web terminal. The method for upgrading the audio processor is applied to a Web interactive terminal and specifically comprises the following steps: S101, after receiving a system starting signal of the audio processor, automatically initializing and operating an embedded HTTP server application, continuously monitoring a preset port, establishing a network communication service infrastructure and loading a security protocol module; according to the method, it is ensured that the upgrading service is continuously available in various network environments, even if a high-load audio task runs, the QoS module can still ensure that an upgrading channel is smooth, the upgrading failure rate caused by network interruption due to breakpoint resume and cross validation is reduced, meanwhile, data packet loss is effectively avoided through the double-buffer storage design, and the upgrading efficiency is improved. The four-level verification process is combined with hardware-level digital signature verification, malicious firmware injection attacks can be intercepted, and an end-to-end trusted chain from transmission to execution is constructed.

This specification provides a method, device and server for determining the reliability of a software network, which can be used in the field of artificial intelligence. Based on this method, before specific implementation, according to the preset training rules, the node ratio constraint and the network diameter constraint are jointly used to train to obtain a preset network reliability determination model suitable for relatively large and complex software networks. During specific implementation, after constructing the target software network, the target node network diagram of the target software network is first obtained; and the preset network reliability determination model is used to process the target node network diagram to determine whether the target software network meets the preset reliability requirements; and if it is determined that the target software network does not meet the preset reliability requirements, the network structure of the target software network is adjusted. Therefore, it can be better applied to relatively large and complex software networks, and by using the preset network reliability determination model, the reliability of the target software network can be automatically evaluated efficiently and accurately.

The invention provides a digital twin system based on a communication module and a construction method of a digital twin model. The system comprises a communication module and digital twinning firmware, the digital twinning firmware comprises an operating system layer, a driver library layer and an interface service layer, and the interface service layer is deployed with a digital twinning service supporting construction of a digital twinning model for any physical peripheral; wherein the digital twinning service acquires multi-dimensional sensing data of any physical peripheral through the communication module, and processes the multi-dimensional sensing data by using at least one digital twinning component built in the driving library layer under a target operating system adopted by the operating system layer, so as to construct a digital twinning model of the physical peripheral. According to the method and the device, a hardware network for transmitting data by the physical peripherals can be fused with a software network during construction of the digital twin model, so that the real-time validity of the data during construction of the digital twin model of any physical peripheral is improved, and the efficient and accurate construction of the digital twin model of any physical peripheral is ensured.

The invention discloses a fractal dimension-based Java software package defect tendency prediction method. The method comprises the following steps of: constructing an undirected network graph of target software written by a Java language in package granularity; calculating fractal dimensions of the software network based on a greedy coloring algorithm; and improving the software defect prediction model by taking the fractal dimension as an index. According to the method, the defects of the existing prediction technology are overcome, the fractal dimension proposed in a complex network is extended to software defect prediction, and the fractal dimension does not depend on other common software measurement methods and can be used as an index of a software defect prediction model. The method is of great significance in predicting the defects of the software system.

A multimedia content pod produced in system of a at least one computing apparatus in connection with a hardware and software network for creating, sending, storing, editing, recalling, transmitting, and revealing multimedia. The system comprises accessing a program graphical user interface with inputs for triggering operably configured software commands to secure, store, lock, unlock, and transmit multimedia collections according to satisfaction of parameter triggers.