244 results about "Fast recovery" patented technology

The invention relates to a satellite internet resource scheduling method based on deep reinforcement learning, and aims to solve the problem that in an SGIN environment, an unstable link easily causes increase of a VNF backup AoI and thus it is difficult to ensure that the VNF can be quickly recovered when a fault occurs. A VNF state transition and failure recovery model is established for the problem that the AoI of VNF backup is increased due to link instability, and a VNF backup model perceived by the AoI is established to adjust bandwidth resources to optimize the AoI. In order to solve the problem that the VNF backup is far away from the original VNF due to relative movement between network nodes, a VNF backup migration mechanism is introduced. In order to make an adaptive optimization strategy for services with different time delay sensitivities, a time delay sensitive factor is introduced as a weight, an optimization problem is established by taking maximization of VNF backup income as an optimization target, and the optimization problem is solved. A simulation result shows that the scheme can reduce the interruption time delay of the VNF with a serious fault under the condition of reasonably utilizing network resources.

The invention discloses an immersed server operation control method and system, and relates to the technical field of immersed cooling, and the method comprises the steps: judging whether a liquid level is higher than a preset starting liquid level, and activating a cooling liquid circulation system to confirm liquid flow; the liquid inlet speed of the cooling liquid is optimized according to feedback of the flow velocity sensor, and the stable state of the liquid level in the server cabinet is monitored; whether cooling liquid leaks or not is judged based on liquid level acceleration and flow velocity deviation, when the liquid level is insufficient, an alarm is triggered, and the liquid level and circulation time are automatically adjusted. According to the method, the automation level and the operation safety of the system are improved, sufficient supply of the cooling liquid under the high-load condition of the server is ensured, the downtime caused by leakage of the cooling liquid is shortened, the long-term operation cost of the system is reduced through timely maintenance notification, and the service life of the system is prolonged by automatically adjusting the liquid level and the circulation time. And quick recovery of the system when leakage occurs is ensured, so that the reliability and the fault recovery capability of the system are improved.

The invention provides a cold start optimization system and a cold start optimization method for a Python Serverless function. The system comprises a dependency analysis module, a module pre-compiling system, a hierarchical module loader, an inert import mechanism, a code cache optimizer and a self-adaptive optimization system. The dependency analysis module analyzes code dependency in a function deployment stage; the module pre-compiling system pre-compiles the source code into an optimized byte code; the hierarchical module loader loads modules of different hierarchies according to priorities; actual loading of an inert import mechanism delay module; the code cache optimizer caches a hotspot function and a module state; and the self-adaptive optimization system dynamically adjusts preloading and caching strategies. The system further comprises a JIT compiling intensifier, a state storage and quick recovery module, a memory management optimizer and a security mechanism. The method has the beneficial effects that the function cold start time is remarkably shortened, the function execution efficiency is improved, the resource utilization is optimized, and meanwhile, the safety and the expandability are ensured.

The invention discloses a transaction processing mechanism optimization method and system for time series data, and belongs to the technical field of databases, and the method realizes a differentiated ACID support mechanism, strengthens atomicity and durability guarantee, and weakens consistency and isolation requirements; comprising the following steps: designing a collaborative architecture of a transaction system and a pre-write log WAL, and establishing a binding relationship between a transaction state and WAL writing; generating a WAL record only for the successfully submitted transaction operation, and performing persistent storage by adopting a batch group submission strategy; transaction scheduling is realized through a lightweight transaction manager, and the life cycle of a transaction request is managed; the functions of efficient writing of transaction granularity, log storage and rapid recovery are realized through a pre-writing log manager; through intelligent Checkpoint background service, based on a periodic incremental check point mechanism, compression merging and space recovery of the WAL file are realized. According to the invention, the performance breakthrough of the time sequence database in a high-concurrency write-in scene can be realized.

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 discloses a resource collaborative awareness-based Storm flow calculation dynamic scheduling method, and provides the following technical scheme aiming at the problem that the performance of a Storm default scheduling algorithm is reduced in node abnormity, resource fluctuation and rescheduling scenes: firstly, dynamically sensing node busy, downtime and data flow fluctuation events through a real-time monitoring module; triggering a rescheduling process; secondly, constructing a resource collaborative optimization model based on historical task instance resource requirements, node performance indexes and communication overhead, and generating a task instance allocation scheme by taking minimization of inter-node communication cost as a target and combining CPU / memory dynamic threshold constraints; further, a greedy algorithm is adopted to sort high-relevance task instances, the high-relevance task instances are preferentially distributed to nodes with the optimal historical performance, and it is ensured that the node resource utilization rate does not exceed a dynamic threshold value; meanwhile, node load balancing parameters are corrected in real time through time window smoothing processing, and the remaining resource state is updated; and finally, outputting an optimized topology division result, so that the system delay after rescheduling is remarkably reduced, and the throughput is improved. According to the method, rapid recovery and stable operation of the heterogeneous cluster are realized through resource collaborative modeling, historical data driven dynamic scheduling and load balancing optimization.

Techniques for fast database recovery in a multi-volume database environment via transactional awareness are described. In the event of a failure associated with a first volume storing database page data, the first volume can be restored to a point in time and transactional metadata from a second volume storing logical change data can be obtained for a limited number of transactions occurring at / after that point in time, as opposed to analyzing extremely large change log files. These transactions can be checked to ensure that they have all been persisted, and if not, change data for those transactions can be obtained from the second volume and used to replay these transactions on the restored first volume.

In one embodiment, a computer-implemented method comprises establishing bi-directional synchronous replication between one or more storage objects of a primary storage site and one or more storage objects of a secondary storage site with each storage site having read / write access while maintaining zero recovery point objective (RPO) and Zero recovery time objective (RTO), initiating a resynchronization process due to a loss of the bi-directional synchronous replication between the one or more storage objects and the one or more storage objects, and performing the resynchronization process based on using inflight tracking replay and reconciliation between a first Op log metafile of the primary storage site and a second Op log metafile of the secondary storage site.

The present invention relates to the fields of computer science and information technology, and specifically to a fault isolation and rapid recovery system based on a microservice architecture, which integrates automated fault detection and identification technology, intelligent grayscale release mechanism, fault isolation technology, rapid recovery strategy and elastic microservice design to provide efficient and reliable fault management and system recovery solutions. By analyzing the operating indicators and log data of microservices, using machine learning algorithms to detect abnormal behaviors, automatic fault detection is achieved; using containerization technology and Kubernetes clusters for intelligent grayscale release, and real-time monitoring of the application status of new versions; achieving fault isolation through service grids, and using Kubernetes automatic expansion strategies to increase the number of healthy Pods and quickly isolate faults; when a fault occurs, through the rollback operation in the CI / CD process, the above technical measures are used in combination to effectively improve the stability, flexibility and maintainability of the system, and are suitable for complex and changeable production environments.

The invention provides a fast recovery method for hadoop cluster data, which relates to the technical field of erasure codes, and comprises the following steps of: calculating an importance score of a data block to be recovered, determining a target copy number based on a nonlinear copy number adjustment function, calculating a load weight in combination with network topology information, and selecting candidate nodes; and predicting a node fault probability by using a long short-term memory network, calculating a migration priority based on the importance score and the fault probability, and selecting an optimal target node to execute data recovery. According to the invention, the intelligence and differentiation of the data recovery process are realized, and the data recovery efficiency and reliability are improved.

The invention belongs to the field of safe transmission of video monitoring code streams, and particularly relates to a method for realizing disaster recovery and rapid recovery of national standard superior services by using Redis record cascade and equipment information. A Redis storage management system is constructed to record cascading and equipment information, and when a service is restarted abnormally, link recovery or waiting for registration online is quickly judged according to Redis information. Multi-thread storage is adopted for first retrieval of shared device information, Redis and reported information at this time are compared during second retrieval, a lower level synchronously retrieves resource information from an upper level, a database and Redis are accurately operated according to information content by means of a Kafka component, all the steps work cooperatively, and the efficiency is improved. Disaster recovery and rapid recovery are effectively achieved when existing national standard cascade services face various emergencies such as service faults and network anomalies, the overall performance, the disaster recovery capacity and the data accuracy are improved, and the requirements of a video monitoring system for efficient, stable and reliable operation and accurate resource sharing are met.

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.

Systems and methods are provided for maintaining a live state of a virtual function during VM fast save and fast restore operations. A computing system performs the fast save operation, by disabling network optimizations, while maintaining allocation and assignment of a VF to a VM and maintaining a VPCI bus connection between a VF device and hardware resources of a host device. The VPCI VSP is caused to save a VF device state to a runtime repository, while VF information is also saved to the runtime repository. A VM switch saves a synthetic network adapter, while a VM synthetic network adapter is torn down. The computing system subsequently performs the fast restore operation, by initializing the VM synthetic network adapter, retrieving the VF information from the runtime repository, causing creation of a VPCI bus interface, assigning the VF device, restoring the VF device state, and resuming the synthetic network adapter.

The invention discloses a firmware upgrading method capable of backspacing versions, which relates to the technical field of data processing, and comprises the following steps: transmitting a firmware file 2 to target equipment according to a network protocol; carrying out storage space recombination on the target equipment, receiving the firmware file 2 and carrying out firmware content integrity verification; if verification succeeds, the firmware file 2 is stored to the boot.b partition, data integrity verification is carried out, and firmware upgrade driving is carried out according to the firmware file 2; wherein the firmware upgrade management is carried out through the cooperation of the boot.a partition and the boot.b partition, and the boot.a partition executes the firmware rollback drive under the loading failure state of the boot.b partition. According to the method and the device, the technical problem that the firmware cannot be quickly recovered after the firmware upgrading fails in the prior art is solved, and the technical effect of enhancing the firmware upgrading fault-tolerant capability is achieved through a double-partition management mechanism and firmware content integrity verification.

AI / ML model quality monitoring and rapid recovery under model fault detection are disclosed. A UE may receive a training quality query message from a network device, wherein the training quality query message includes query information about one or more training quality metrics of one or more AI models used to train the UE; and send a training quality response message to the network device, wherein the training quality response message includes response information about the one or more training quality metrics of the one or more AI models used to train the UE.

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.

An improved information management system that implements a staging area or cache to temporarily store primary data in a native format before the primary data is converted into secondary copies in a secondary format is described herein. For example, the improved information management system can include various media agents that each include one or more high speed drives. When a client computing device provides primary data for conversion into secondary copies, the primary data can initially be stored in the native format in the high speed drive(s). If the client computing device then submits a request for the primary data, the media agent can simply retrieve the primary data from the high speed drive(s) and transmit the primary data to the client computing device. Because the primary data is already in the native format, no conversion operations are performed by the media agent, thereby reducing the restore delay.

The invention belongs to the technical field of communication, and discloses an elastic asynchronous sampling control method for resisting denial of service attack in a networked system, which adopts elastic asynchronous sampling data control to realize quick recovery and stability of the networked system after DoS attack and improvement of robustness. And during normal operation of the system, continuously monitoring and recording state data of the networked system based on an asynchronous sampling strategy. And after the DoS attack is finished, a preset asynchronous sampling mechanism is triggered immediately, state information is updated quickly, and a control instruction is calculated again, so that the dynamic response and performance of the networked system are recovered. According to the method, an asynchronous sampling mechanism, discontinuous interval dependency functional analysis and a switching stability theory method are organically combined, the rapid communication recovery capability of a networked system after the networked system is attacked by DoS is cooperatively realized, the stability and robustness of the system are remarkably enhanced, and the method is particularly suitable for application scenes with high security requirements.

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.

Systems and methods are provided for maintaining a live state of a virtual function during VM fast save and fast restore operations. A computing system performs the fast save operation, by disabling network optimizations, while maintaining allocation and assignment of a VF to a VM and maintaining a VPCI bus connection between a VF device and hardware resources of a host device. The VPCI VSP is caused to save a VF device state to a runtime repository, while VF information is also saved to the runtime repository. A VM switch saves a synthetic network adapter, while a VM synthetic network adapter is torn down. The computing system subsequently performs the fast restore operation, by initializing the VM synthetic network adapter, retrieving the VF information from the runtime repository, causing creation of a VPCI bus interface, assigning the VF device, restoring the VF device state, and resuming the synthetic network adapter.

The present disclosure relates to utilizing a host failure recovery system to efficiently and accurately determine the health of host devices. For example, the host failure recovery system detects when a host server is failing by utilizing a power failure detection model that determines whether a host server is operating in a healthy power state or an unhealthy power state. In particular, the host failure recovery system utilizes a multi-layer power failure detection model that determines power-draw failure events on a host device. The failure detection model determines, with high confidence, the health of a host device based on power-draw signals and / or usage characteristics of the host device. Additionally, the host failure recovery system can initiate a quick recovery of a failing host device.

The invention discloses a freezing method for a load record of an intelligent flexible adjusting unit. According to the method, system configuration is analyzed and adjusted according to historical data, different scenes are rapidly adapted, and system adaptability and response efficiency are improved; the real-time current, voltage and electric energy quality are deeply analyzed, the load trend is predicted, and the adjustment accuracy and the intelligent decision-making capability are enhanced; recording intervals are automatically adjusted according to load changes, time periods and user characteristics, and fine control over data recording is achieved; non-critical data are intelligently identified and preferentially compressed, storage distribution is optimized, and the processing efficiency is improved; multi-format packaging is supported, and interoperability and data sharing convenience are improved; it is ensured that key data can be recorded outside an unconventional interval, response to abnormity and predictive maintenance is enhanced, and data integrity is ensured; through double verification, encryption and digital signature, the data security is ensured; efficient backup and disaster recovery are realized, data persistence and rapid recovery are ensured, and data security and service continuity are ensured.

The invention relates to the technical field of data processing and text generation, and discloses a root cause analysis method and device, computer equipment, a storage medium and a program product.The root cause analysis method comprises the steps that in response to a detected fault event, a change event associated with the fault event is obtained; acquiring event data of the change event; determining an association level between the change event and the fault event based on the event data; and determining a target event in the change event according to the association level, and performing root cause analysis on the fault event based on the target event to obtain an analysis result. In the root cause analysis process, the change event which may cause a system fault or an abnormal condition sometimes is analyzed to diagnose whether the change event is a root cause of the fault, so that the accuracy of root cause analysis is improved, and the accuracy of root cause analysis is improved. And the method plays a crucial role in the aspects of quickly recovering normal operation of the system, improving the stability of the system, optimizing subsequent change management and the like.

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 provides a method and a device for realizing service process recovery by accessing a shared memory, and belongs to the field of storage configuration. Comprising the following steps: dividing a system into a business layer, a memory pool layer, a shared memory connection layer and an operating system layer; initializing all objects needing to be recovered, and constructing the objects on a shared memory area; replacing all global new / deelete operators in the system with a shared memory version; executing a fork operation in the system, and managing the shared memory area for the generated child process inheriting the parent process through a pointer type object of the child process; and in a multi-process model in which a parent process or child process relationship is not shared, calculating the mapping offset during the current call and the last call, and correcting all the pointer objects according to the offset. According to the method, the stability, reliability and efficiency of the system are effectively improved, quick recovery of the shared memory is realized in a multi-process environment, and powerful support is provided for high-performance operation of the system.

The invention discloses an important data rescue filing method and system based on a shutdown system, under the condition that the system needs to be shut down or is faced with potential risks, important data is subjected to rescue filing, and key data is extracted from a source system and transferred to a safe place for subsequent use or recovery. In actual use, when important data is filed in a rescuing manner before the system is shut down, the data of the file system is packaged, so that the problem that in the prior art, when the backup data volume is huge, the backup operation can be completed by taking a long time, especially under the condition of limited network bandwidth, part of key data is possibly lost, and the backup efficiency is improved is solved. In addition, after the application program crashes, the application program can be quickly recovered, and the situations that inconvenience is brought to a user, and a series of negative influences are brought to operation and technical maintenance of the enterprise are greatly reduced.

The invention relates to a kernel mode parallel file system based on a secure container and an implementation method of the kernel mode parallel file system. The system comprises a computing service cluster, a Lustre service cluster, a VIP mapping service component, a cluster planning service component, a high-availability architecture component, a VIP server component and a block storage cluster. The high-availability architecture component realizes high availability of Lustre service through a master-slave service architecture, and the VIP server component simplifies high-availability configuration of Lustre and provides translation service from a VIP to a back-end server IP address. The block storage cluster includes a plurality of object storage targets, each object storage target being associated with a storage engine for providing a data storage service. The system has the advantages of high availability, easy expansibility, support of hot upgrade and rapid fault recovery, low resource consumption and simple maintenance, is seamlessly integrated with a cloud native ecosystem, and improves the efficiency, reliability and usability of infrastructure support in artificial intelligence and high-performance computing scenes.