104 results about "Failure domain" patented technology

Provided in the present disclosure are a schema model construction method and apparatus in a knowledge graph, and a device and a storage medium. The method comprises: acquiring a text knowledge base of operation and maintenance fault cases; acquiring, from the text knowledge base, schema modeling domains of operation and maintenance fault knowledge graphs, and on the basis of the text knowledge base, determining representative ontology names corresponding to the schema modeling domains, wherein the schema modeling domains comprise a fault domain, a fault representation domain, a troubleshooting item domain, a troubleshooting content domain, a troubleshooting conclusion domain, a fault root cause domain and a fault solution domain; acquiring, from the text knowledge base, extended ontology names corresponding to the representative ontology names of the schema modeling domains, and entity names corresponding to the extended ontology names; and constructing a schema model of the operation and maintenance fault knowledge graphs by using the representative ontology names corresponding to the schema modeling domains, the extended ontology names, and the entity names corresponding to the extended ontology names.

The invention relates to a cloud computing extension cluster high availability method based on a dynamic fault domain and intelligent scheduling, and relates to the field of cloud computing extension cluster high availability. According to the method, hardware health data and network performance indexes of physical nodes are collected in real time, and the fault correlation degree between the nodes is calculated based on the hardware health similarity and a network topology attenuation factor; dynamically generating and updating a logic fault domain topological structure according to the fault correlation degree and a preset threshold value; based on the logic fault domain topological structure and a preset SLA strategy library, executing a virtual machine scheduling decision of multi-objective optimization so as to balance business service quality, fault domain risk and resource cost; and in response to the detected fault event, triggering a corresponding hierarchical migration process according to the service priority and the fault level. According to the method, closed-loop linkage of real-time reconstruction and intelligent scheduling of the dynamic fault domain in the cross-region cloud computing extension cluster can be realized, and the disaster tolerance capability and the resource utilization rate of the system are remarkably improved.

The invention provides an inter-satellite reliable routing method based on a fault domain model, and belongs to the technical field of satellite communication. The invention provides a centralized inter-satellite reliable routing method based on inter-satellite link attributes in order to solve the problems of transmission failure and routing interruption caused by the fact that inter-satellite links are easily influenced by space environments and man-made interference. The inter-satellite links are classified according to real-time states and failure reasons of the inter-satellite links, an initial topology model containing global network information is constructed, a boundary diffusion method is designed in combination with fault link boundary node states, and fault links are aggregated into blocks to form a fault domain topology model so as to limit a fault influence range. According to the method, the influence of the buffer queue capability, the link signal-to-noise ratio and the path length on routing is analyzed, a comprehensive link utility function is constructed to quantify the link quality, a multi-attribute detour path selection method is provided to solve the problem of load imbalance caused by a single path selection criterion, the system packet loss rate and the end-to-end delay are reduced, and the satellite network fault handling capability is improved.

The invention discloses a storage cluster multi-redundancy fault isolation method, system and device and a medium, and the method comprises the steps: dividing a storage cluster according to medium types, nodes or slot grouping, and forming a plurality of protection domains and / or fault domains enabling data resources to be isolated; the plurality of protection domains and / or fault domains for isolating the data resources are used for isolating different data resources in different storage pools according to different characteristics of the data resources and a hierarchical protection or access control strategy, so that the isolation of the protection domains and / or fault domains at a physical level is realized. Different types of resource pools can be created, and the data management capability, the system stability and the service continuity of the distributed storage cluster can be improved.

The invention relates to the field of distributed storage, and discloses a distributed memory system based on erasure codes and a dynamic repair mechanism. Comprising a data node cluster, a metadata management cluster, a bandwidth token management module, a dynamic repair composer and a repair agent node. And the data node cluster divides the object into strip generation data fragments and verification fragments and dispersedly stores the data fragments and the verification fragments according to a placement rule. And the metadata management cluster maintains object stripe mapping, a fragment position set, erasure code protection configuration and a version epoch, and records a repair intention log. And the bandwidth token management module grants repair execution permission according to the fault domain budget. The dynamic repair composer generates availability repair and durability repair tasks, the temporary check fragments are written in when the number of the available check fragments is lower than a threshold value in the availability stage, and the configuration fragments are recovered and the temporary fragments are recovered in the durability stage. And the consistency of version epochs is verified before the agent node is repaired and written back, and if not, recalculation is carried out.

Operations of a certificate bundle distribution service may include: detecting a trigger condition to distribute a certificate bundle that includes a set of certificate authority certificates; determining, for each of a plurality of network entities associated with a computer network, a fault domain representing at least one single point of failure; partitioning the plurality of network entities into a plurality of certificate distribution groups, based on a set of partitioning criteria that includes a fault domain of each particular network entity, in which each particular certificate distribution group includes a particular subset of network entities, and the particular subset of network entities are associated with a particular fault domain; selecting a particular certificate distribution group, of the plurality of certificate distribution groups, for distribution of the certificate bundle; and transmitting the certificate bundle to the particular subset of network entities in the particular certificate distribution group.

The invention relates to a distributed system network interface dynamic expansion method and device based on dependency perception, and relates to the field of distributed system network interface dynamic expansion. The method comprises the following steps: collecting topological information of each node in a distributed cluster, and calculating the dependency strength between node pairs based on the communication frequency between the nodes, a service call chain and a resource access mode; according to the number of copies and the minimum number of copies of each copy group, constructing a fault domain constraint model, and verifying whether the candidate expansion scheme meets the system availability requirement or not; a heuristic search method is adopted to generate a batch expansion scheduling sequence, and it is ensured that the node dependency relationship of each batch of expansion is weakest and meets constraint conditions; and executing configuration updating operation according to the scheduling sequence, and realizing atomized execution of configuration modification and service restart by adopting a two-stage submission protocol. According to the invention, the zero-shutdown dynamic expansion of the network interface of the distributed system is realized, the service continuity and the configuration consistency are ensured, and the operation and maintenance interruption time and the operation risk are obviously reduced.

The invention discloses an adaptive PC-Kriging reliability analysis method and system based on active learning, and the method comprises the steps: obtaining uniformly distributed first candidate samples from a pre-generated MC sample pool through employing a weight clustering method, and constructing an initial PC-Kriging model; selecting samples by using an interval reduction method to construct a new sample pool, and dividing the new sample pool into two sub-sample pools of a security domain and an invalidation domain; aiming at the two sub-sample pools, adopting the weight clustering method again, and respectively selecting uniformly distributed second candidate samples from the two sub-sample pools; constructing a crossing point by using the second candidate samples distributed in the failure domain and the security domain; taking the constructed crossing point as a newly added experimental point, and carrying out iterative updating on the PC-Kriging model; and judging convergence and outputting a result. According to the technical scheme, through interval reduction of the focusing key area and model updating based on the crossing points, the limit state surface can be more accurately approached, the number of experimental points is reduced, the prediction precision is improved, and the calculation resource utilization is more efficient.

The invention provides a schema model construction method and device in a knowledge graph, equipment and a storage medium, and belongs to the technical field of communication. The method comprises the steps of obtaining a text knowledge base of operation and maintenance fault cases; obtaining each schema modeling domain of the operation and maintenance fault knowledge graph from the text knowledge base, and determining a representative ontology name corresponding to each schema modeling domain based on the text knowledge base; the schema modeling domain comprises a fault domain, a fault representation domain, a troubleshooting item domain, a troubleshooting content domain, a troubleshooting conclusion domain, a fault root cause domain and a fault solution domain; acquiring an extended ontology name corresponding to each schema modeling domain and an entity name corresponding to the extended ontology name from a text knowledge base; and constructing the schema model of the operation and maintenance fault knowledge graph by adopting the representative ontology name, the extended ontology name and the entity name corresponding to the extended ontology name of each schema modeling domain. The method is used for solving the problem that a schema model of an operation and maintenance fault knowledge graph is difficult to cover all valuable knowledge through manual design.

The invention relates to the technical field of chip interconnection, in particular to a virtual fault domain isolation and recovery method suitable for a Lingqu interconnection system, which comprises the following steps: when a fault event occurs, a state machine is switched to a QUIESCE mode, and a transaction shadow table is maintained; carrying out classification processing on the uncompleted transactions in the transaction shadow table, and monitoring the state of the access object; and after reconnection, task replay is carried out according to the transaction shadow table, and the state machine is switched back to the ACTIVE state. In order to solve the problem that in the prior art, a third-party node with a fault in a Lingqu interconnection system is prone to causing chain reaction, an isolation mechanism is added to an IO interconnection chip used for being connected to a third-party chip, a state machine of a fault domain is switched to a QUIESCE mode, a transaction shadow table of an uncompleted transaction is established, and the transaction shadow table of the uncompleted transaction is obtained. According to the method and the system, the IO interconnection chip performs proxy processing on part of transactions after the access object is recovered, so that faults of other equipment in the interconnection system are prevented from being caused in a fault reconnection stage, and replaying is performed after the access object is recovered, thereby realizing risk isolation and recovery processes.

The invention relates to a cloud resource instance scheduling method, apparatus and device. The method comprises the steps of obtaining a to-be-scheduled cloud resource instance; for each cloud resource instance, determining at least one candidate fault domain from each fault domain based on a target instance type of the cloud resource instance; the target instance type is determined based on the service attribute of the cloud resource instance, each fault domain comprises at least one host machine, and the fault domains of different levels have an overlapping relationship; for each candidate host machine in the candidate fault domain, determining a scheduling weight value corresponding to the candidate host machine based on the resource quantity of the candidate host machine and the grading information of the fault domain; for each cloud resource instance, based on the respective scheduling weight value of each candidate host machine corresponding to the cloud resource instance, the target host machine is selected from the candidate host machines, and the cloud resource instance is scheduled to the target host machine, so that the efficiency and reliability of cloud resource scheduling are improved.

The invention discloses an intermittent short-circuit fault positioning method for a controller area network. Comprising the following steps that firstly, a CAN bus system is modeled into a switching system, each sending node corresponds to a subsystem, and the subsystems are modeled in a dual-port network modeling mode so as to describe the characteristics of CAN bus circuits under different topological structures; when an intermittent short-circuit fault occurs, the data acquisition sensor records error information and identifies the address of the node sending the error information. And determining a fault domain by combining topological information and statistical significance through a voltage transmission difference equation set method. And finally, determining the accurate position of the ISC fault by using a two-way expelling positioning algorithm. The method provided by the invention is suitable for a complex CAN bus topological structure, can be used for positioning a short-circuit fault of a cable in a bus system, and provides an effective solution for fault diagnosis of the CAN bus system.

Redundant array of independent drives (RAID) sub-stripes are formed across one or more solid-state storage devices of storage nodes of a storage system. The RAID sub-stripes include corresponding shards of data to be stored at the solid-state storage devices, wherein at least one of the RAID sub-stripes has at least two of the corresponding shards of data on a same storage node. At least one global parity shard is generated for the RAID sub-stripes. The at least one global parity shard is to be stored on a first storage node that is different from each of the same storage nodes storing the at least two of the corresponding shards of data.

The invention discloses an OSD switching method, system and device in a distributed storage pool and a medium, and relates to the technical field of distributed storage, and the method comprises the steps: determining a fault OSD in the distributed storage pool; determining a physical fault domain of a target storage pool where the fault OSD is located; acquiring a global allowable failure domain number of the physical fault domain; determining the number of failed fault domains of the physical fault domain; in response to the fact that the number of the failed fault domains is smaller than the number of the global allowable failure fault domains, marking the state of the fault OSD as down; the global allowable failure fault domain number comprises a minimum value of failure of the fault domain allowed by the target storage pool set, and the target storage pool set comprises a set of all storage pool combinations sharing the physical fault domain. According to the method, the number of the newest failed fault domains is at most equal to the number of the failure of the minimum fault domain, the situation that the number of the newest failed fault domains exceeds the number of the failure of the minimum fault domain is avoided, and the service reliability and the data security of distributed storage in a fault switching scene are improved.

A block-based storage system hosts logical volumes that are implemented via multiple replicas of volume data stored on multiple resource hosts in different failure domains. Also, the block-based storage service allows multiple client computing devices to attach to a same given logical volume at the same time. In order to prevent unnecessary failovers, a primary node storing a primary replica is configured with a health check application programmatic interface (API) and a secondary node storing a secondary replica determines whether or not to initiate a failover based on the health of the primary replica.

The present application belongs to the field of emerging information technology, and specifically relates to a fault location method, device, computer-readable medium and electronic device. The present application obtains a container cluster management architecture and multiple fault alarm information, and constructs a container cluster management tree based on the container cluster management architecture; the multiple alarm information is marked on the container cluster management tree to form multiple fault domains, the multiple fault domains are converged to form a convergence domain, and finally the location of the fault is determined according to the convergence domain. The present application makes full use of the characteristics of hierarchical management of container clusters. According to the idea that the failure of the parent node will cause the failure of the child node, the fault location can be automatically located without manual judgment. Moreover, the present application can cover abnormal events and faults outside the alarm rules, realize rapid location of faults, and ensure the normal use of the container cluster management system.

A recovery orchestrator system receives a recovery plan, which may be used for a hosted-computing environment. The recovery plan includes multiple steps. The recovery orchestrator system receives monitoring metrics. The recovery orchestrator system executes the recovery plan based on the monitoring metrics. The recovery orchestrator system executes steps from the recovery plan in multiple fault domains. The recovery orchestrator system monitors the status of the execution of the recovery plan and provides the status update to a computing device.

Operations of a certificate bundle distribution service may include: detecting a trigger condition to distribute a certificate bundle that includes a set of certificate authority certificates; determining, for each of a plurality of network entities associated with a computer network, a fault domain representing at least one single point of failure; partitioning the plurality of network entities into a plurality of certificate distribution groups, based on a set of partitioning criteria that includes a fault domain of each particular network entity, in which each particular certificate distribution group includes a particular subset of network entities, and the particular subset of network entities are associated with a particular fault domain; selecting a particular certificate distribution group, of the plurality of certificate distribution groups, for distribution of the certificate bundle; and transmitting the certificate bundle to the particular subset of network entities in the particular certificate distribution group.

The invention relates to the technical field of power grid fault line selection, in particular to a resonant grounding power grid single-phase grounding fault line selection method and device. The method comprises the following steps: decomposing a zero-sequence current signal of a target power grid according to a line fault condition, and solving a maximum value in each component as an ideal partition value of a line selection criterion; fitting a polynomial curve, and performing fault domain division according to the polynomial curve and the current line zero sequence current; if all the criteria enter the fusion domain, multi-criterion fusion fault domain division is carried out, if a preset number of criteria enter the fusion domain, the credibility of the criteria is determined, and the line with the highest value, the line with only one criterion entering the fusion domain and the line with the criterion entering the effective domain are selected as fault lines; according to the invention, correct and reliable line selection in the effective domain is realized, advantage complementation is carried out on a plurality of line selection criteria in the fusion domain, the coverage of various fault conditions is improved, interference of the line selection criteria entering the failure domain is eliminated, and an accurate and reliable line selection result is obtained.

The embodiments of this specification provide a method, device and equipment for fault domain switching, which relates to the field of artificial intelligence technology, wherein the method includes: in response to a target fault domain switching request, determining a target switching mode corresponding to a target application; obtaining a parameter information set of an object to be switched of the target application; obtaining an execution parameter of the target application; wherein the execution parameter is used to characterize the type of fault domain switching; based on the target switching mode, performing fault domain switching on the target application according to the parameter information set and the execution parameter. In the embodiments of this specification, when it is determined that an emergency switching of the target application is required, the fault domain switching can be performed in a timely and efficient manner to ensure the reliability of the application.

This invention discloses an adaptive PC-Kriging reliability analysis method and system based on active learning. The method includes: using weighted clustering to obtain uniformly distributed first candidate samples from a pre-generated MC sample pool and constructing an initial PC-Kriging model; using interval reduction to select samples and construct a new sample pool, dividing the new sample pool into two sub-sample pools: a safe domain and a failure domain; for each sub-sample pool, weighted clustering is used again to select uniformly distributed second candidate samples; using the second candidate samples distributed in the failure domain and the safe domain, crossing points are constructed; the constructed crossing points are used as new experimental points to iteratively update the PC-Kriging model; convergence is determined and the results are output. The technical solution of this invention focuses on key regions through interval reduction and updates the model based on crossing points, which can more accurately approximate the limit state surface, reduce the number of experimental points, improve prediction accuracy, and is more efficient in utilizing computational resources.

The embodiment of the invention provides an equipment fault processing method, a host, a computer program product and a storage medium. The operating system of the target host can run an error report driving program after receiving an interrupt signal sent by any root interface and used for triggering an error report mechanism; based on an error report driving program, obtaining an address translation exception record from an event queue maintained by a memory management unit; if the address translation exception record points to any virtual device connected to the root interface, calling a kernel mode drive program corresponding to the virtual device through an error report drive program; and controlling the target virtual machine served by the virtual equipment to be paused based on the kernel mode driving program. Therefore, when a single virtual device has a fault, the fault domain can be accurately controlled on the virtual machine served by the faulted virtual device, so that only the virtual machine served by the faulted virtual device is suspended, and the influence on other virtual machines running on the target host can be effectively avoided.

The invention discloses a storage pool creation method and device, equipment, a medium and a product, which are applied to the technical field of storage, and comprise the following steps: obtaining the number of fault domain units and the number of copies; when the number of the fault domain units is greater than the number of the copies, judging whether each fault domain unit meets a first preset capacity balance condition or not based on the minimum effective capacity and the expected effective capacity corresponding to each fault domain unit; if the first preset capacity balance condition is not met, grouping recursive calculation is carried out on each fault domain unit to obtain a target effective capacity, and whether a second preset capacity balance condition is met is judged based on the target effective capacity and the expected effective capacity; and under the condition that a second preset capacity balance condition is not met, creating a main pool based on the target effective capacity and creating an auxiliary pool based on the residual capacity. Therefore, the utilization rate of storage resources can be improved.

The invention provides a cabin door lifting mechanism gradual change reliability and global sensitivity analysis method, and relates to the technical field of reliability and sensitivity analysis. Dynamic modeling, gradual change failure domain description, Kriging proxy modeling based on active learning and global sensitivity analysis are organically fused; the performance degradation characteristics and the reliability evolution process of the cabin door lifting mechanism in the whole life cycle can be accurately described in a multi-level and multi-dimension mode. By introducing a gradual change failure membership function, continuous evolution of structural performance from safety to failure is completely reflected, the failure probability and the variation coefficient thereof are quantitatively calculated through Monte Carlo simulation, and clear redundancy margin is reserved for safety design. Meanwhile, by means of an iterative sampling strategy of active learning-Kriging and calculation of a global sensitivity index, the local and global prediction precision and convergence efficiency of the proxy model are remarkably improved, and the contribution degree and interaction effect of each influence factor to the overall reliability are revealed.

The invention discloses a network fault processing method, which can reduce the calculation burden and message forwarding overhead of network equipment. In the method, when a link connected with network equipment fails, the network equipment sends a link fault message to neighbor equipment, and the link fault message is only diffused in a certain range taking the network equipment as a center, so that a fault domain with a fixed size is formed. Therefore, the network equipment connected with the fault link only needs to re-calculate the path in the fault domain range, and the re-calculated path is used for replacing the fault link, so that the routing convergence can be completed. By setting the fault domain with the fixed size, each network device with the link fault only needs to maintain the own local fault domain and calculate the corresponding path, so that the problem that the link fault message diffuses in the whole network to cause frequent path calculation of the network devices in the whole network is avoided; and the calculation burden and the message forwarding overhead of the network equipment are effectively reduced.

The invention discloses a routing method, a communication device and related equipment. The first network device determines that the first link has a fault, the first network device is from a fault domain, the fault domain comprises N network devices and links among the N network devices, and N is an integer greater than or equal to 3; the first network device determines a fault domain to which the first link belongs, the fault domain comprises M network devices in a routing domain and links among the M network devices, the fault domain comprises the first network device and the first link, and M is an integer greater than or equal to 2 and less than N; the first network device only sends a link fault notification to a second network device in the fault domain, the link fault notification indicates that the first link is a fault link in the fault domain, and the second network device is a network device of a next hop of the first network device. Therefore, the link fault notification cannot be transmitted among all network devices in the whole routing domain, and the network overhead of the network devices is reduced.

The invention discloses a honeycomb structure uncertain factor reliability analysis method and system, belongs to the technical field of honeycomb structure reliability analysis, and solves the problem of how to reduce the calculation cost of honeycomb structure uncertain factor reliability analysis. Safety bubbles are generated in a safety domain of a random space, failure bubbles are generated in a failure domain of the random space, a large number of sample points are generated according to random variable distribution information, the sample points are filtered through the generated bubbles, and the failure probability and the variation coefficient of the lattice structure are calculated. According to the method, the calculation precision is ensured by utilizing the derived radius iterative formula, and meanwhile, the evaluation calculation of filtering a large number of samples by virtue of the generated bubbles can be realized, so that the calculation cost of reliability analysis is greatly reduced.

Examples include a computing device configured by executable instructions to categorize a plurality of storage components into a plurality of storage fault domains, each storage fault domain corresponding to at least one failure scenario not shared by the other storage fault domains. The computing device may receive a data object for storage. The computing device may store at least a portion of the data object to a first storage fault domain, and may store at least another portion of the data object to a second storage fault domain that is different from the first storage fault domain.

Provided are systems for automated chaos including a processor and a memory having instructions stored thereon. The instructions, when executed, cause the processor to perform certain operations including connecting to an application infrastructure with one or more applications and inspecting a code of the one or more applications and configuring a chaos experiment. The configuring includes identifying fault domains of the applications. The operations also include enabling pre-execution tasks, including load testing and observability, executing the chaos experiment, and automatically subjecting the applications to features of the chaos experiment. The features may be configured to trigger a fault to occur from the applications. The operations collect information from the applications as a result of executing the chaos experiment and execute an AI / ML routine on the information to output a result. The result is representative of the resilience of the applications.

A computer system may receive a layout of a data center, the layout of the data center identifying physical locations of a plurality of server racks, electrical distribution feeds, and uninterruptible power supplies. The computer system may receive a fault domain configuration for the datacenter, the fault domain configuration identifying virtual locations of a plurality of logical fault domains for distributing one or more instances so that the instances are stored on independent physical hardware devices within a single availability fault domain. The computer system may determine the configuration for the data center by assigning the plurality of fault domains to a plurality of electrical zones, wherein each electrical zone provides a redundant electrical power supply across the plurality of logical fault domains in an event of a failure of one or more electrical distribution feeds. The computer system may display the configuration for the data center on a display.