39 results about "NonStop" patented technology

The invention relates to the technical field of intelligent ship control, and particularly discloses an area control integration method and system based on an intelligent ship engine room, original operation data and multi-source communication data of equipment in each area of the engine room are collected, a unified real-time state vector is generated through protocol analysis and standardization processing, and a plurality of redundant processing nodes are processed in a unified mode. Synchronizing and verifying state data through a high-speed channel, constructing a global consistent state synchronization set, disassembling composite logic into atomic operation units with state constraints according to an upper-layer instruction and the synchronization set, packaging the atomic operation units into a private instruction sequence bound with the state, executing the instruction sequence by a main node, and executing the state synchronization set by a slave node; seamless switching to a standby node is realized through independent hardware monitoring when a fault occurs, and the standby node continuously executes based on the continuity of a state synchronization set, so that high-reliability uninterrupted operation of area control is realized; according to the method, the problems of instruction semantic distortion and single-point fault risk in heterogeneous equipment integration are solved, and the control accuracy and the intelligent level are improved.

Forechannel connections are established from client-side deduplication libraries at clients to a data protection appliance having a server to be upgraded. The client-side libraries receive requests from backup applications at the clients for file data. The forechannel connections are responsible for carrying the file data between the client-side libraries and the appliance. Server-initiated connections are established from the server to the client-side libraries. The server-initiated connections are responsible for carrying instructions from the server to the client-side libraries. While a transfer of the file data is in progress, the client-side libraries are instructed over the server-initiated connections to pause the transfer for the server upgrade. Requests from the backup applications are allowed to continue uninterrupted. After the server has been upgraded, the forechannel and server-initiated connections are re-established.

The invention discloses a live migration method for a virtual machine without interruption and a virtualization system, and belongs to the technical field of cloud computing virtualization systems.The method comprises the steps that the virtual machine which is completely the same as a source node is created on a target node, and the state of the virtual machine is adjusted to be a pause state; querying a source node security group table item associated with the migration virtual machine, wherein the source node security group table item comprises a vswitch data plane flow table and a connection tracking table of a source node; migrating the source node security group table item from the source node to the target node; the virtual machine of the target node decompresses the received file, reads the file into a memory, and updates the vswitch data plane flow table of the source node; adding the connection tracking table of the source node and the updated vswitch data plane flow table of the source node to the vswitch data plane of the target node; and after the thermal migration of the virtual machine is finished, adjusting the state of the virtual machine of the target node to be running. According to the invention, when the virtual machine is subjected to thermal migration, the network flow is ensured to be uninterrupted, and the user experience of the service application of the virtual machine is improved.

The application belongs to the technical field of dual-computer hot backup, and discloses a dual-computer hot backup system and a dual-computer switching method. The dual-computer hot backup system comprises A computer and B computer which are hot backup to each other, and an internal switch; one of the A computer and the B computer is a master computer for data communication with an external system, and the other is a slave computer for data backup of the master computer; the A computer and the B computer are connected with the external system through respective external communication interfaces; the A computer and the B computer are connected with respective reflective memory cards through optical fibers as main synchronization channels, and are connected with the internal switch through respective internal communication network interfaces as backup synchronization channels, so as to realize synchronization and backup of data between the A computer and the B computer. The application further provides a corresponding switching method. The application can improve the reliability and stability of long-time uninterrupted operation of the dual-computer hot backup system, reduce switching recovery time, and adapt to the needs of different network environments and application scenarios.

The invention discloses a power system data acquisition method and system, and the system comprises a field acquisition device which mainly comprises a field operation computer, a multi-port RS485 serial server, an RS485 bus and a field end device; the server side is composed of a server and total monitoring software, the operation condition of each device of each station is monitored through the software, the server architecture adopts hardware and software dual-redundancy configuration, when each hard disk or hardware in each server fails, data of the other hard disk can be recovered to operate, and reliable guarantee is provided for data safety; and the work station is remotely logged in the server by a computer, monitors the operation conditions of each site and each device by adopting a paging browsing mode, and masters the operation data of the devices in real time. By means of software redundancy, 24-hour uninterrupted operation of the whole system is guaranteed, and safety guarantee is provided; and by utilizing a big data analysis technology, hidden defects can be quickly identified and solved, and the stability of equipment is enhanced.

This invention relates to a method for constructing an embedded software simulation testing environment based on a virtual machine, belonging to the field of embedded software testing technology. This method adds an interface adaptation layer and a network communication layer, replacing the drivers of the underlying dedicated hardware interface devices or buses, redirecting the operations of these devices or buses to network communication operations, thereby enabling the deployment of an embedded software virtual machine environment. By replacing external real interconnected devices or systems with simulation devices, it provides stimulus or response data for the embedded software operation, while simultaneously receiving embedded software output data and providing real-time automatic responses based on the output data, ensuring uninterrupted operation of the embedded software. Through a test driver, it centrally manages external simulation devices and schedules them according to business processes to collaboratively complete automated embedded software testing.

A computer-implemented system and method for managing and executing activities for uninterrupted processing. At least one process definition representing a plurality of activities to be executed by computing devices located outside of at least one firewall associated with a data communications network is accessed. Respective ones of the plurality of activities are identified and, for each: input representing details associated with the respective one of the plurality of activities is accessed and at least one computing device is determined to execute steps associated with the respective one of the plurality of activities. Information associated with the respective one of the plurality of activities is transmitted to the computing device(s). A response representing output from the executed steps associated with the respective one of the plurality of activities is received and stored.

The invention discloses an NSR virtualization method based on a network operating system, and relates to the technical field of switch virtualization. According to the method, NSR function modules are decoupled into independent services through a containerization technology, and uninterrupted operation, uninterrupted maintenance and flexible deployment of NSR services are achieved in combination with high-availability guarantee (fault isolation and automatic recovery), dynamic upgrade (hot update and rolling replacement), lightweight resource management (quota control) and standardized packaging (cross-platform mirroring). According to the method, the system reliability can be improved, the resource utilization rate is optimized, the new function online period is shortened, and the method is suitable for high-availability requirements of a cloud data center and an operator network.

The present application provides a data processing method and apparatus, and a distributed parallel processing system. After receiving a job request for instructing to execute a computing job on data in a target storage space in a first storage medium, a data processing apparatus decomposes the computing job into N computing tasks, and decomposes a task for loading the data in the target storage space into a second storage medium into N loading tasks. Then, the N computing tasks and the N loading tasks are separately executed in a consistent sequence to implement uninterrupted streaming of the N computing tasks, thereby improving the processing efficiency of task nodes and saving processing resources of the task nodes.

The invention discloses an embedded active vibration control device and method based on a heterogeneous multi-core architecture, the core of the device is a heterogeneous multi-core processor, and the device comprises a real-time processing core and an application processing core; and respectively operating a real-time system and a universal operating system which are isolated from each other. The real-time system uninterruptedly executes core control tasks such as vibration signal acquisition, vibration suppression calculation and output at a fixed period; the general operation system is responsible for non-real-time functions such as human-computer interaction, communication and high-performance calculation; the two cores share data through an inter-core communication mechanism to realize function collaboration. Compared with the prior art, the hybrid key deployment architecture is adopted on the single heterogeneous multi-core processor, so that high-determinacy real-time vibration control and complex non-real-time function collaboration are realized, and the absolute reliability of a core control task is ensured.

The invention discloses a data method and a data structure for backing up time series data. The data method comprises the following steps: opening or creating an rdata file; reading the meta metadata or writing the meta metadata into the rdata file, and assigning an initial value; applying for a section of memory buffer area in the memory; uninterruptedly acquiring time sequence data, and storing the time sequence data in a memory buffer area; compressing the data in the memory buffer area; the compressed data is added to an rdata file; updating a page header of a current data storage page in the rdata file; and the meta metadata in the rdata file is updated. The data storage structure is suitable for monitoring the streaming input characteristic of data, incremental updating can be achieved, the file position where the block storing the segment of data is located can be quickly located according to the query time period during data query through the index information recorded in the pageheader, and the data query efficiency is improved. Original data can be restored only by decompressing a part of blocks related to the query condition, so that full-disk decompression is avoided, and the data query efficiency is remarkably improved.

This invention relates to a method and system for extending the actions of a single-arm agent to dual-arm operations, belonging to the field of robot control technology. The invention designs a framework for extending the actions of a single-arm agent to dual-arm operations. This framework utilizes a single-arm dataset to facilitate dual-arm operations, leveraging a broad single-arm dataset to facilitate dual-arm operations without requiring additional dual-arm data. This scheme introduces an attention extension mechanism that embeds semantic information into pixel-level data, allowing for the dynamic generation of action pairs. These actions are processed by a proposed TAN (Target Assignment Network), which assigns tasks between the two robotic arms, evaluates feasibility, and selects the optimal solution. Furthermore, this scheme can seamlessly transition back to single-arm operations when anomalies are detected, ensuring uninterrupted task execution. Experimental results show that the technical solution provided by this invention improves task efficiency while eliminating the cost of collecting dedicated dual-arm data.

The invention discloses a training fault tolerance method and device applied to a distributed training system and a chip product, and relates to the technical field of distributed training. The method comprises: in a process of executing a distributed training task through a plurality of computing nodes in a distributed training system, obtaining a communication topology of the distributed training system, the communication topology being used for indicating a communication relationship of the plurality of computing nodes in set communication; under the condition that the fault computing node exists, the communication topology is updated based on the remaining computing nodes except the fault computing node in the multiple computing nodes, the updated communication topology is obtained, and the updated communication topology is used for indicating the communication relation of the remaining computing nodes in the set communication; the updated communication topology is sent to the remaining computing nodes, and the remaining computing nodes are used for conducting data synchronization according to the updated communication topology so as to continue to execute the distributed training task. According to the invention, continuous set communication can be realized, which is beneficial for improving the reliability of the distributed training system.

Techniques are described for enabling uninterrupted services by computing resources on nodes of a consistency hash ring (CHR) while adding or removing nodes (i.e., making changes) of the CHR. In some embodiments, a duplicate of the existing CHR (i.e., old version) is created to become a new version for performing the changes. Two versions of consistent hash rings (CHRs) co-exist during the transition period of making changes. In some embodiments, computing resources on the nodes of these CHRs perform version upgrades and data migration while continuing to service client requests without interruption.

The invention discloses a data processing method and system suitable for engineering machinery edge calculation, and belongs to the technical field of engineering machinery, and the method comprises the following steps: S1, initializing data, and loading a configuration file; s2, acquiring CAN bus data in real time and analyzing the CAN bus data according to a DBC file rule; storing the analyzed data in a key value pair form; the ACC state is obtained from the standard data set for one time when the analysis is started and is used for controlling the timer to be started; starting a specified timer according to the ACC condition; s3, carrying out fixed-frequency processing and data storage on the data, and continuously operating according to a set frequency in an ACC (Access Control) opening state; and S4, data reporting: encapsulating result data into a plurality of CAN frame formats, sending the result data to a CAN bus, and then performing data acquisition by using a GPS (Global Positioning System). The method has the advantages that the accuracy and the real-time performance of the data are improved, and the problems of data statistical deviation, business logic misjudgment and the like are avoided.

The present application relates to the technical field of remote vehicle control system, and specifically provides an automatic testing device for remote vehicle control system and a building method thereof, which comprises the following steps: HIL load box system design; bench building and debugging; automatic testing framework design; system initialization design; code design; system debugging. The present application is based on python software engineering and HIL load box testing system, simulates remote instructions, achieves the purpose of controlling target output, supports precondition presetting, can set precondition before each use case execution, supports cyclic endurance testing, realizes continuous and uninterrupted automatic testing, and generates complete testing report, thereby realizing the stability and endurance testing of remote control service.

A computer-implemented method for power capacity planning for a computing system the following steps: a) evaluating an activity of the computing system, wherein the activity comprises the number of program instances executed by the computing system; b) predicting an evolution of the activity based on the evaluated activity by using a first machine learning algorithm configured for activity evolution prediction; c) predicting a power consumption of the computing system as a first power metric; d) predicting an autonomy of one or more uninterruptible power supplies of the computing system as a second power metric; e) predicting a redundancy level of the computing system as a third power metric; and, f) generating output data related to power capacity planning by processing the first, second and third power metrics.

The present invention provides an integrated migration technology that integrates (1) dynamic schema analysis and business logic estimation under authority constraints, (2) restoration of multimodal UI / UX, (3) collaborative implementation of AI groups and real-time conflict resolution, (4) transparent security migration, (5) quality assurance for non-disruptive switching, and (6) detection of bottlenecks during operation and continuous monitoring of business KPIs. [Solution] This invention runs the old and new systems in parallel using the same input obtained from mirroring or recording / playing back production traffic, acquires the output difference and execution metrics, calculates Q_mig from UIm / APIm / Lat / Lat_CVaR, and determines the stage switching based on the m-of-n criteria of T_window and T_hold. In case of non-delivery or critical errors, it automatically rolls back and audits the basis for the decision using a hash chain + time signature. The authentication method is also migrated through transparent hashing during the initial authentication.

A system and method are provided for implementing a network component, such as a software-defined wide area network, a firewall, a router, or a load balancer. The network component can be an embedded network edge device that is implemented, e.g., in software, in circuitry, or using hardware acceleration (e.g., a data processing unit (DPU), a smart network interface card (SmartNIC), etc.). The system can a primary (first) dataplane and a shadow (second) dataplane. During verification testing, the network function (e.g., routing) is performed by transmitting the egress packets from the primary (first) dataplane, but using the egress packets from the shadow (second) dataplane only for verification testing. After verification testing, the shadow (second) dataplane is promoted to be a new primary dataplane by gradually increasing the ratio of the output packets that originate from the new primary (second) dataplane until all output packets originate from the second dataplane.

The invention discloses a remote monitoring method and device based on heterogeneous dual systems, equipment and a medium, and relates to the technical field of server remote control. According to the method, when the second operating system cannot provide the remote monitoring service, the remote monitoring service is switched to the first operating system, and the first operating system provides the remote monitoring service, so that a user can uninterruptedly and remotely control the server, and the problem that the remote monitoring service cannot be provided after the server is powered on is solved. The problem that the KVM function cannot be used due to upgrading or restarting due to the fact that the Linux system is low in starting speed is solved.

This application discloses a data migration method, apparatus, device, storage medium, and program product for heterogeneous object storage, relating to the field of data management technology. The method includes: migrating existing data prior to an initial timestamp from a source object storage device to a target object storage device; migrating incremental data from the source object storage device to the target object storage device based on data operation records in the source object log; synchronizing incremental data from the target object storage device to the source object storage device; when the incremental data migration begins, switching and distributing the current traffic containing the incremental data between the source and target object storage devices; and after the current traffic switching and distribution is complete, forwarding subsequent traffic destined for the source object storage device to the target object storage device. The source object log ensures the consistency and integrity of the data migration; and the migration synchronization of existing data, incremental data, and traffic enables uninterrupted data migration.

Computer-implemented method and system for deployment of a first machine-learning model, and replacement, without service interruption, of a second machine-learning model in active on-line use, comprising: receiving, at a controller, a replacement request; in response to said replacement request, triggering the deployment of the first model and triggering the calculation of features to be used, collecting output data from the first model, fitting and inserting one or more calibration functions downstream from the first model, and routing inference requests to the first model instead of the second model; wherein the triggered deployment of the first model comprises preloading the first model into CPU or GPU memory, and making available the calculated features and the preloaded first model by CPU or GPU, respectively, before the inference requests are routed to the first model, thus enabling that no additional latency is added when traffic is rerouted to the first model.

Techniques are described for enabling uninterrupted services by computing resources on nodes of a consistency hash ring (CHR) while adding or removing nodes (i.e., making changes) of the CHR. In some embodiments, a duplicate of the existing CHR (i.e., old version) is created to become a new version for performing the changes. Two versions of consistent hash rings (CHRs) co-exist during the transition period of making changes. In some embodiments, computing resources on the nodes of these CHRs perform version upgrades and data migration while continuing to service client requests without interruption.

A system and method can facilitate software-based remote direct memory access (RDMA) communications over transport control protocol (TCP). The system establishes, by an RDMA emulation software layer in a first virtual machine, a TCP connection with a second virtual machine. Responsive to establishing the TCP connection, the system identifies, by the RDMA emulation software layer in the first virtual machine based on socket information received from the second virtual machine, a TCP socket associated with the TCP connection. Responsive to the first virtual machine initiating an RDMA send operation, the system, by the RDMA emulation software layer in the first virtual machine: prepends an RDMA send frame with a protocol header associated with the RDMA emulation software layer; and transmits, via the TCP socket, the prepended RDMA send frame. The system performs the RDMA send operation over the TCP connection.

A system and method are provided for implementing a network component, such as a software-defined wide area network, a firewall, a router, or a load balancer. The network component can be an embedded network edge device that is implemented, e.g., in software, in circuitry, or using hardware acceleration (e.g., a data processing unit (DPU), a smart network interface card (SmartNIC), etc.). The system can a primary (first) dataplane and a shadow (second) dataplane. During verification testing, the network function (e.g., routing) is performed by transmitting the egress packets from the primary (first) dataplane, but using the egress packets from the shadow (second) dataplane only for verification testing. After verification testing, the shadow (second) dataplane is promoted to be a new primary dataplane by gradually increasing the ratio of the output packets that originate from the new primary (second) dataplane until all output packets originate from the second dataplane.

When the processor receives execution data, the processor causes an executable program to progress based on the execution data. When the processor receives update data, the processor writes the update data into a memory and causes updating of an update program to progress. When the update of the update program is completed and the programmable device is thereafter reset, the processor ends the executable program and launches the update program as the executable program.

The invention provides a data processing method and device and a distributed parallel processing system.The data processing device decomposes a calculation job into N calculation tasks after receiving a job request used for instructing execution of the calculation job on data in a target storage space in a first storage medium, according to the embodiment of the invention, the task for loading the data of the target storage space into the second storage medium is decomposed into the N loading tasks, and then the N calculation tasks and the N loading tasks are respectively executed according to the consistent sequence, so that the uninterrupted streaming processing of the N calculation tasks is realized, the processing efficiency of the task node is improved, and the processing resource of the task node is saved.

The invention discloses a hot updating method and system for an edge-side AI model, relates to the technical field of edge computing, and solves the problems of low efficiency, high transmission cost and great influence on equipment continuity in remote updating of the AI model in the prior art. According to the method, incremental training, optimization model packaging and compression technologies are executed at a substation server cluster end, model distribution and hot update are realized by utilizing a KubeEdge platform, the optimized AI model can be efficiently operated on edge equipment, and the equipment is ensured to always keep the optimal performance in uninterrupted work. Meanwhile, the performance monitoring and feedback mechanism of the system can monitor the running state of the equipment in real time, perform model optimization in time and form closed-loop feedback, so that the adaptability, precision and efficiency of the model and the stability of the system are improved, the calculation and storage cost is reduced, and the efficient execution of the intelligent inspection task is ensured.

A computer-implemented method for power capacity planning of a computing system is disclosed, wherein the method comprises the following steps: a) assessing (S10) an activity of the computing system, wherein the activity comprises a number of program instances executed by the computing system and a load caused by the executed program instances; b) predicting (S12) an evolution of the activity based on the assessed activity by using a first machine learning algorithm (10) configured for activity evolution prediction; c) predicting (S14) a power consumption of the computing system as a first power metric based on the predicted activity evolution and by using a second machine learning algorithm (12) configured for power consumption prediction of the computing system; d) predicting (S16) an autonomy of one or more uninterruptible power supplies of the computing system as a second power metric based on the predicted power consumption and by using a third machine learning algorithm (12') configured for uninterruptible power supply autonomy prediction and receiving the power consumption prediction of the computing system as input; e) predicting (S18) a redundancy level of the computing system as a third power metric based on the predicted power consumption and a power architecture of the computing system; f) generating (S20) output data related to power capacity planning by processing the first, second and third power metrics.