107 results about "Fast recovery" patented technology

The invention relates to the technical field of computer system structures and storage, in particular to a non-volatile memory quick recovery method based on metadata priority and on-demand loading. The method comprises the following steps: in response to a system fault signal detected by a voltage monitoring unit, freezing a processor context and traversing a page table structure to extract system configuration information; writing the system configuration information and business data codes in the volatile memory into a nonvolatile medium to generate a persistent state mirror image; analyzing the persistent state mirror image, extracting address conversion metadata, and reconstructing a mapping relation from a virtual address to a physical page frame in a volatile memory; and generating an address mapping table, wherein the physical page frame pointed by the address mapping table is set to be in an existing state but is not associated with the effective service data. According to the method, decoupling of the control flow and the data flow is realized by constructing a virtual ready state, and quick starting of the system and immediate response of key services are realized on the premise of not depending on the total capacity of a memory.

The invention provides a private cloud-based multi-data center disaster recovery backup and rapid recovery method and system, and the method comprises the steps: enabling each data center to be connected with a disaster recovery control platform, and carrying out the deployment management; arranging a backup strategy according to the disaster recovery control platform; monitoring the health state of each data center on the basis of a disaster recovery control platform according to the arrangement result and the deployment result, analyzing the monitoring data on the basis of an AI model, and judging whether disaster recovery switching is triggered or not; and when it is judged that disaster recovery switching is triggered, service recovery and resource redistribution are carried out based on the disaster recovery control platform. Through automatic fault sensing and scheduling, the fault response time is effectively improved, multi-center backup and configuration recovery can be effectively realized through a unified disaster recovery control platform, and the management cost is further reduced.

The invention discloses a system quick recovery method and system based on system mirror image management, and the method comprises the steps: initializing a boot partition of a functional blade in a heterogeneous cluster system and a boot flag bit of the boot partition, the boot flag bit being used for BIOS reading to select a corresponding boot partition when the functional blade is started; the method comprises the following steps: triggering a job operating system or a boot operating system of a target function blade to restart through a soft shutdown interface, and modifying a start boot flag bit in a BMC (Baseboard Management Controller) of the target function blade, so that the target function blade is sequentially restarted and switched into the boot operating system from the job operating system; and executing system quick recovery or backup for the target system partition under the boot operating system, and then restarting and switching to run under the specified job operating system so as to complete system quick recovery or backup. According to the method, the characteristics of the heterogeneous cluster system are combined, and automatic and flexible system mirror image fast rollback recovery is achieved when the heterogeneous cluster system has a serious fault.

The invention particularly relates to a distributed time series data cross-node atomic writing and transaction management method. According to the distributed time series data cross-node atomic writing and transaction management method, a coordination node receives a time series writing request, generates a unique TID and issues the unique TID; the storage node writes the data into a pre-write log WAL, marks the data as pending, and establishes mapping between the TID and log entries; the cooperative node sends a pre-submission instruction, and the node responds after being ready; and if verification is passed, broadcasting submission is carried out, a formal storage update version is written, otherwise, rollback is carried out, operation is cancelled according to WAL, and finally associated logs and states are cleared. According to the distributed time series data cross-node atomic write-in and transaction management method, end-to-end atomicity, consistency, low delay and rapid recovery of cross-node time series data write-in are achieved, a write-in path only needs one-time WAL write-in, synchronous blocking is avoided, and the concurrent throughput performance is remarkably improved; and the scheme does not invade an upper-layer application interface, and can be reused in any distributed storage system supporting the WAL.

This application relates to a method and system for automated intelligent transaction monitoring, circuit breaking, and rapid recovery. The scheme includes: a data acquisition module configured to collect transaction data in real time, the transaction data including various indicator data; an intelligent anomaly detection module configured to evaluate the health score of the order transaction system based on the collected indicator data and predefined rules; and a dynamic circuit breaking and recovery decision module configured to automatically trigger different levels of circuit breaking mechanisms based on the severity of detected anomalies and a circuit breaking strategy set according to the scenario, while also providing a corresponding gradual recovery mechanism.

The invention provides a temporary check block repairing method and system based on erasure codes in distributed block storage, and the method comprises the steps that a distributed block storage system detects that a check block fails to be written in, and a metadata service creates a temporary check block according to an erasure code mode; the temporary check block records an operation log and executes data writing, and replays IO operation according to a data version number; repairing the inconsistency of the data blocks by using the operation log of the temporary check block; and quickly recovering the check block data through the data bitmap of the temporary check block. According to the rapid recovery processing method for the temporary check block, the check block data can be directly recovered without a coding mode, the internal IO is reduced, and the recovery speed of the erasure code check block is increased.

The invention provides a database log analysis and recovery method and device, equipment, a medium and a program product, and relates to the field of data processing. Periodically generating a snapshot file of cache record data involved in a database log analysis process, and recording a snapshot identifier corresponding to the snapshot file; updating version information of a data dictionary, and binding the snapshot identifier with the version information of the data dictionary; when database log analysis is interrupted, matching corresponding target version information from the data dictionary according to a target snapshot identifier; recovering the state of the cache record data based on the target version information, and determining the initial position of database log analysis; according to the method, the snapshot file of the cache record data is periodically generated, and the snapshot identifier and the data dictionary version information are bound, so that the cache data state and the analysis starting position are quickly recovered based on the latest snapshot after the database log analysis is interrupted, and the fault tolerance and the recovery efficiency of log analysis are improved.

The invention relates to the technical field of software reinforcement, and provides a software reinforcement method for a satellite software system, which comprises the following steps of: identifying the core number of a multi-core CPU (Central Processing Unit) by an application bootstrap program, and starting a plurality of applications to be reinforced according to the core number of the CPU; when a plurality of to-be-reinforced applications are started, determining a master process and one or more slave processes from a plurality of business processes corresponding to the plurality of to-be-reinforced applications by an application bootstrap program, and binding the plurality of to-be-reinforced applications to a plurality of different CPU cores; adding check point functions in the plurality of business processes, wherein input parameters of the check point functions are parameters needing to be compared; and determining whether all the to-be-reinforced applications run normally or not by using the input parameters, and if not, using a corresponding repair method according to the number of the to-be-reinforced applications. Normal operation of the to-be-reinforced application is ensured by adopting corresponding repairing methods according to different conditions, so that the stack data and the global data in the process can be quickly recovered to be normal when single event upset occurs.

The invention relates to the technical field of database management, in particular to an automatic database backup and recovery method and system based on artificial intelligence, and the method comprises the steps: collecting the operation data of a database in real time, and constructing a dynamic data feature model; dynamically generating a backup strategy through a backup strategy generation module based on the data feature model; executing backup operation according to the backup strategy, creating and updating a metadata index used for rapid recovery in the backup process, monitoring the backup state in real time, and automatically triggering a grading retry mechanism when backup abnormity is detected; automatically executing a recovery test, verifying the integrity and recoverability of the backup data, and if verification fails, triggering an alarm and performing backup again; and when a data recovery request is received, quickly positioning and recovering target data based on the metadata index and the transaction log, and monitoring a recovery state in real time in a recovery process. The rigidity of a traditional fixed strategy is overcome, and the backup efficiency is improved.

The application discloses a kind of small system fast file recovery methods based on OOB enhanced mapping table, the method includes: when data is written into idle physical page, the mapping enhanced field of the physical page OOB area is expanded;When mapping relationship is updated, log record is written into log page;When mapping page is dirty, record the latest position information of mapping page page number and its associated log page;Periodically generate system rebuild point, generate mapping table snapshot based on the mapping page state of this moment, and write mapping table snapshot into special recovery point block;Based on the mapping enhanced field, log page and recovery point block, realize fast file recovery after system restart.The method provided by the application, based on the mapping enhanced field of page OOB structure expansion, combined with log chain structure and system rebuild point mechanism, realizes that small system power failure can be quickly recovered without full disk scanning.

The application provides a distributed cluster configuration method based on a SHELL script, comprising the following steps: architecture information and service distribution information of a cluster are intercepted by a script tool, and the intercepted information is stored in an associative array of the script tool; whether the cluster architecture information is a storage-computing integrated version or a storage-computing separated version is judged; a target configuration file is backed up, and the backup file is stored in a specified path; an instruction containing an operation type is received, the operation type comprises set, restart and rollback, and a parameter modification target is determined according to the instruction; before and after the parameter is modified, the parameter state is recorded and output. The application has the beneficial effects that the script tool is used to realize convenient modification of 8a cluster parameters, efficient restart of cluster services and quick recovery of configuration files, and through the script tool, configuration files of all cluster nodes corresponding services can be modified by one instruction.

The invention belongs to the technical field of computers, and discloses a computing network arrangement scheduling method and device, a storage medium and a product. The method comprises the following steps: in response to a received security service demand, generating a service behavior description according to the security service demand, and generating a security service identifier according to a user feature corresponding to the security service demand; generating a group behavior description according to the service behavior description and the security service identifier, and obtaining device resource information corresponding to each device in the to-be-scheduled computing network; determining a target component identifier based on the ethnic group behavior description and the equipment resource information, and generating a corresponding component behavior description; and carrying out service deployment in the computing network to be scheduled according to the target component identifier and the component behavior description. As the security service identifier is adopted, and the identifier is irrelevant to the position of the user and is only relevant to the identity of the user, the security service identifier of the computing network is ensured not to be changed when the user is disconnected and reconnected or partial nodes in a service function chain are damaged, and the system can quickly recover the previous service according to the identifier.

The embodiment of the invention provides a data persistence method and device, equipment, a medium and a product, and relates to the technical field of data processing.The method comprises the steps that through a state management library of a data persistence system, an application program is initialized to obtain initial configuration data; in response to user operation, triggering a corresponding business process and modifying related data to obtain modified data and a modified state, after the state of the application program is converted into the modified state from the initialized state, screening out a specific state field or module data needing to be encrypted and persistent, and storing the specific state field or module data in a local storage medium after encryption processing. The problem that in the prior art, dynamic data of the application program are only stored in a memory and are prone to being lost after being refreshed or restarted is solved, a user does not need to acquire or process related information again, meanwhile, data safety is guaranteed through encryption processing, and the effect that the application program is rapidly recovered to the modified state after being refreshed or restarted is achieved.

The invention provides a method, medium and equipment for recovering a follow-up network type converter, and relates to the technical field of fault recovery of the follow-up network type converter of a micro-grid, and the method comprises the steps: locally updating the state initial value, gain function and allowable energy range of input and output variables of each subsystem; generating a feasible basic recovery strategy set S; carrying out load flow calculation on the system after the recovery strategy Sk is executed to obtain a steady-state equilibrium point; judging whether the system meets a network interconnection relation condition and a small gain condition or not; if the system does not meet the network interconnection relation condition or the small gain condition, refusing to execute the recovery strategy Sk; judging whether the system meets the local input-output stability condition of the interconnection system or not, and if the system cannot meet the local input-output stability condition of the interconnection system by adjusting the state initial value of the subsystem, refusing to execute the recovery strategy Sk; and executing the recovery strategy Sk. According to the invention, the capability of quickly recovering power supply after the independent micro-grid is disturbed can be improved.

The invention provides a distributed data synchronization task scheduling method and system, and a medium, and the method comprises the steps: registering an IP address to a scheduling server after a client is started, and transmitting a heartbeat request every preset time; after the client is determined to be in a healthy state according to the heartbeat request, the scheduling server obtains a database optimistic lock for task scheduling; after the scheduling server determines that the database optimistic lock is obtained, a scheduling request is sent to the client; and after receiving the scheduling request, the client initiates a task registration request to the scheduling server to complete task registration. According to the method, the scheduling authority is obtained in a database optimistic lock mode during task scheduling, repeated task scheduling is avoided, the change state of the scheduling task is obtained through the version field of the task registration group, the performance loss is effectively reduced, meanwhile, the offline task can be quickly recovered, and the use requirements of different scenes are met.

The invention discloses a computing power resource dynamic slicing and isolation method for an artificial intelligence target range, and the method comprises the following modules: S1, business feature perception and dynamic resource slicing: carrying out the analysis and modeling of an artificial intelligence attack and defense task through a mechanism, and mapping a task demand into a corresponding computing power slicing specification; s2, a driving-level video memory firewall, which monitors the video memory usage behavior of the virtual instance in real time on a driving layer of an execution node, and prevents attack behaviors such as abnormal occupation of the video memory; and S3, carrying out atomized rollback based on the model state of the shared memory. According to the mechanism, rapid recovery of the environment is realized through page table resetting. The method is oriented to an artificial intelligence target range, and the problems of static low efficiency, insufficient safety and isolation, lack of a quick recovery mechanism and the like of resource scheduling are solved through the mechanisms.

The application provides a quick recovery method for file system error caused by abnormal power-off. The method comprises: executing power-on starting flow to determine whether the file system has error, if error occurs, entering abnormal recovery flow; in response to the instruction of entering abnormal recovery flow, determining whether the TAB file is abnormal, if abnormal, continuing to determine, if the TAB_A file checksum verification error, deleting and rebuilding the TAB_A file, copying the TAB_B file to the TAB_A file, and ending the current flow; if the TAB_B file checksum verification error, deleting and rebuilding the TAB_B file, copying the TAB_A file to the TAB_B file, and ending the current flow; if the TAB file is normal, entering the clearing fault user file flow, deleting the corresponding entry information in the TAB_A file and the TAB_B file after completing the flow, and ending the abnormal recovery flow. According to the application, the problem of affecting system performance of the existing abnormal power-off recovery method applied to the file system can be solved.

The application discloses a kind of translation lookaside buffer table entry processing method, system, medium and product, applied to processor technical field, comprising: when process switching, determine the non-critical table entry corresponding to the process before switching in translation lookaside buffer, obtain target non-critical table entry;The target non-critical table entry is stored in the first cache corresponding to processor core, and the target non-critical table entry is deleted from the translation lookaside buffer;The recovery deadline corresponding to the process before switching issued by operating system is acquired;Based on the recovery deadline, before switching back to the process before switching, the target non-critical table entry is written back to the translation lookaside buffer from the first cache.This way, in the case of guaranteeing the process before switching fast recovery, the hit rate of translation lookaside buffer table entry can be improved, and then the processor performance is improved.

The application provides a solid state disk power-off data protection and rapid recovery method, relates to the technical field of hard disk data protection, and determines the data update characteristics of the corresponding physical block according to the data state information, determines the write state of the current metadata through the write completion mark in the data update characteristics; if the current metadata has not completed writing, an update protection level is constructed based on the update mapping relationship corresponding to the current metadata, then the current metadata is stored to the image protection area, and the corresponding state mark is updated after the storage is completed; when power is re-applied, the state mark is sequentially verified, if the verification is valid, the recovery process queue is activated in stages according to the update protection level, and the state mark is cleared after the recovery process queue is executed. The application can construct an unforgeable metadata protection mechanism within the limited power-down energy window of the solid state disk, so as to improve the metadata integrity after the abnormal power-off of the solid state disk.

The invention relates to the technical field of communication networks, and discloses a WSON network rapid recovery method and device, and the method comprises the steps: determining a generated target planning route and a target recovery route of the target planning route, the target planning route and the target recovery route are generated based on the network information and service demand information of a WSON network, and the target recovery route is generated based on the network information and service demand information of the WSON network; the target recovery route covers fault response scenes of all route nodes of the target planning route, and the target recovery route meets a preset recovery route resource occupation condition; calculating at least one intersection configuration channel of the target planning route and the target recovery route; according to all the intersection configuration channels, target channels of a target planning route and a target recovery route are configured, the target channels of the target planning route and the target recovery route have service identifiers corresponding to the service demand information, and the service identifiers are used for indicating the service demand information corresponding to the target channels. Therefore, the recovery efficiency of the WSON can be improved by implementing the method and the device.

The invention discloses an automatic data security protection and recovery method and system, and relates to the technical field of data security. The method comprises the following steps: a data fingerprint acquisition module generates a hash fingerprint sequence bound with a timestamp; an operation behavior traceability recording module synchronously records a data operation complete context; the abnormal mode recognition engine jointly analyzes data fingerprints and operation logs, calculates risk scores based on time sequence deviation and behavior portraits in a two-dimensional mode, and recognizes high-risk events; the automatic data recovery execution unit locates tampered data, matches a backup version and reversely applies a differential patch to realize accurate and rapid recovery; the dynamic protection strategy evolution mechanism analyzes historical abnormal events through clustering, generates and verifies new protection rules, and completes strategy self-optimization; the system comprises the five corresponding function devices. According to the method, real-time monitoring, intelligent detection and automatic recovery are converted into full-life-cycle closed-loop protection of strategy evolution, the data exception discovery and recovery efficiency is improved, and the self-adaptive defense capability of the system is enhanced.

The invention discloses a data processing method and a related device, and the method comprises the steps: obtaining a to-be-processed business request, and triggering a jump order request for the to-be-processed business request if a first database unit in a plurality of database units is determined to have a fault when processing a historical business request. After the order jumping request is triggered, filtering out the first database unit from the plurality of database units to obtain a plurality of candidate database units; and obtaining the health degrees corresponding to the plurality of candidate database units from the health degree storage space, and selecting a second database unit for processing the to-be-processed service request from the plurality of candidate database units based on the health degrees, thereby skipping the first database unit, and selecting the second database unit to process the to-be-processed service request. Therefore, the business can be quickly recovered in an order jumping mode, the real-time availability of the database is ensured, and the public praise of the product and the user experience are ensured. And the database unit with higher availability is selected based on the health degree to process the to-be-processed service request, so that the service processing performance is further improved.

The application discloses an immersion server operation control method and system, and relates to the technical field of immersion cooling, which comprises the following steps: judging whether the liquid level is higher than the preset starting liquid level, activating the cooling liquid circulating system to confirm the liquid flow; optimizing the cooling liquid inflow speed according to the feedback of the flow rate sensor, and monitoring the liquid level stable state in the server cabinet; judging whether the cooling liquid leaks based on the liquid level speed-up and flow rate deviation, triggering an alarm when the liquid level is insufficient, and automatically adjusting the liquid level and the circulation time. The method improves the automation level and operation safety of the system, ensures sufficient supply of the cooling liquid under high load conditions of the server, reduces downtime caused by leakage of the cooling liquid, reduces long-term operation cost of the system through timely maintenance notification, ensures quick recovery of the system when leakage occurs through automatic adjustment of the liquid level and the circulation time, and thus improves the reliability and fault recovery capability of the system.

The invention belongs to the technical field of machine learning training, and particularly relates to a system and a method for training a large model by using a heterogeneous GPU (Graphics Processing Unit) and a dynamic instance. The system comprises a consumption estimation module, an automatic parallel module, a heterogeneous training module and a dynamic monitoring module. The system supports sensing the computing power of the heterogeneous GPU, supports the use of a dynamic instance, automatically generates a parallel strategy and updates the strategy according to the dynamic change of the GPU; according to the method, an assembly line construction method, a micro-batch distribution method and a preemption distribution processing method are designed, each GPU group is constructed into an assembly line, and different numbers of micro-batches are distributed, so that load balancing is achieved, and training time is minimized; when preemption and allocation events occur, a fast recovery mechanism is used to recover training as soon as possible; according to the method, load balancing is achieved in a heterogeneous environment, stable training is guaranteed in a dynamic scene, parallel configuration does not need to be manually set by a user, and large model training can be efficiently and conveniently carried out in a heterogeneous GPU and dynamic instance environment.

In some examples, methods, systems, and machine-readable media are disclosed in which application states are saved using in-memory versioning in a shared memory pool of decomposed memory. By utilizing a decomposed pool of memory, processing resources may be located on devices other than the memory that those resources are using. Due to this architecture, failure of hardware of a processing resource or application does not necessarily cause hardware resources of the memory device to fail. This allows a standby application executing on a standby processing resource to quickly resume execution when a primary application fails by utilizing the memory pool assigned to the primary application of the memory pools.

The invention relates to the technical field of Internet communication and charging, and discloses an Internet charging gateway and an implementation method. Comprising a routing check module, an authentication module, an authentication module, a balance check module, a balance pre-deduction module, a request forwarding module, a deduction confirmation module, a memory database, a relational database, a log generation module, a log message component, a log library falling module and a data restoration module, and is respectively connected with the memory database, the relational database and the deduction confirmation module. And the data consistency repairing module is used for executing data consistency repairing when the time difference between the pre-deduction time and the confirmation time exceeds a threshold value. According to the invention, the data recovery module monitors the pre-deduction-confirmation time difference in real time, automatically triggers the recovery when the time is out, and ensures that the data can be quickly recovered without disorder after the system is abnormally crashed or the data is lost in combination with the fare register version management and control and a usage compensation log, and the service availability reaches 99.99%.

This invention relates to the field of database testing technology and discloses a database fuzzing method based on copy-on-write. The method includes: initializing a persistent layer to obtain a baseline storage state; creating a temporary layer and associating it with the persistent layer to form a union storage view; during test case execution, redirecting write operations to the temporary layer via copy-on-write, while read operations are read from either the temporary or persistent layer depending on whether the data exists; after testing, deleting and rebuilding the temporary layer to quickly restore the initial state; and repeating this process until all test cases are completed. This application constructs a two-layer storage structure consisting of a persistent layer and a temporary layer, recording all test changes in the temporary layer. After testing, only deleting and rebuilding the temporary layer is needed to quickly reset the repository, avoiding a complete initialization process and significantly improving the efficiency of database fuzzing.

Embodiments of the present application relate to the field of cloud computing, and provide a heterogeneous computing power instance scheduling and state management method, device, medium and chip, comprising: receiving a state change request of a target heterogeneous computing power instance; if it is a stop request, triggering a state saving process corresponding to the target heterogeneous computing power instance to perform a snapshot operation on a root file system of the target heterogeneous computing power instance before releasing heterogeneous computing power resources, and recording snapshot metadata corresponding to the snapshot operation; if it is a start request, determining a recovery node based on the snapshot metadata, performing dynamic environment reconstruction and recovering the root file system, and after the root file system is recovered, allocating heterogeneous computing power resources to the target heterogeneous computing power instance and starting the target heterogeneous computing power instance. The present application can reduce the cost of idle computing power and the cost of environment reconstruction, realize on-demand start and stop, rapid recovery and environment consistency reconstruction, and reduce resource fragmentation, recovery failure probability and operation and maintenance scheduling overhead.

The application discloses a high-speed snapshot and recovery-based operating system fuzzing method, which comprises the following steps: starting a target operating system and completing environment initialization; generating an initial state snapshot of the operating system in a state after the environment initialization is completed, and storing the initial state snapshot; reading the initial state snapshot from the storage before executing each test case, and restoring the operating system to the state recorded by the initial state snapshot; after the restoration is completed, generating a test case, injecting the test case into the operating system for execution, and recording the execution result of the test case. Through complete state capturing and millisecond-level fast restoration, the application realizes accurate resetting of a kernel fuzzing environment, eliminates state pollution of previous test cases, and improves vulnerability reproduction stability and test efficiency.

The invention discloses a method for recovering default through a specified function module of a software management switch, which relates to the technical field of network equipment operation and maintenance, and comprises the following steps: installing a client, selecting a sending network card, and logging in; singly selecting a recovery item on the interface; setting a single-unit or batch range and generating a control instruction carrying an unvarnished transmission mark; the client sends a two-layer control message to a preset specific destination media access control address through the network card, wherein a load contains a special field and a timestamp for indicating a recovery action; a switch background program monitors and analyzes, does not report when being closed, and reports and processes when being opened; de-duplicating according to the timestamp; the central processing unit executes corresponding recovery according to the special field; forwarding or blocking according to a strategy; and after completion, returning a response containing the equipment identifier and recording a log. Through construction of a directional control channel and unvarnished transmission boundary control, rapid recovery of management information and key resetting is not needed, the risk of error diffusion and repeated execution is reduced, and safety and traceability are improved.