390 results about "Failover" patented technology

A redundancy link includes a first optical splitter and a second optical splitter. The first optical splitter includes (i) a first hub-side port that optically couples to a first optical line terminal, a first hub-side failover-mode port, (iii) a first plurality of node-side splitter-ports each optically coupled to the first hub-side port and the first hub-side failover-mode port, (iii) a first failover-mode port coupled to the first hub-side port. The second optical splitter includes (i) a second hub-side port that optically couples to a second optical line terminal, a second hub-side failover-mode port optically coupled to the first failover-mode port, (iii) a second plurality of node-side splitter-ports each optically coupled to the second hub-side port and the second hub-side failover-mode port, (iii) a second failover-mode port coupled to the second hub-side port.

A technique monitors input / output (I / O) and storage ownership takeover activity patterns to detect degraded performance of a highly available and fault tolerant application executing in a multi-site environment. Multiple instances of the application execute in different containers or pods running on virtual machines (VMs) of a compute layer within a containerized (e.g., Kubernetes) clustering configuration that extends across clusters of the sites. A storage layer of the clusters provides shared storage to the pods running on the VMs across the multiple sites. One of the sites is configured as an active storage site configured to receive and service I / O requests from the compute layer. A single instance of the application is active at a time and configured as a “compute owner” of the shared storage to issue the I / O requests to the shared storage. The compute owner and active storage site may not be co-located on the same site, leading to excessive I / O and storage ownership takeover activity patterns indicative of degraded performance. Upon detecting such patterns, the technique automatically triggers a storage failover to ensure that compute owner and active storage site are co-located at the same site.

The invention discloses a Java-based large language model dynamic adaptation method and system, belongs to the technical field of artificial intelligence, and aims to solve the technical problems of overcoming the interface difference of multiple model interfaces, simplifying the development process and providing standardized and high-expansibility large model management. Comprising the following steps: providing a model registration and dynamic loading service, a protocol conversion and parameter standardization service and a load balancing and failover service; a streaming transmission protocol service, a function call dynamic injection service and a global error processing mechanism are provided; when a user provides a document analysis and partitioning service, a vectorization index construction service and an RAG enhanced generation service to ask questions, relevant document blocks in the Pinecone are retrieved through the RAG enhanced generation service to serve as contexts to be injected into cue words of the large language model, and answers generated by the large language model are returned.

The invention belongs to the field of query optimization, and particularly relates to a fragmentation storage and query optimization method and system for a high-concurrency database, and the method comprises the steps: analyzing business features through a preset decision tree model, and selecting an optimal fragmentation key, constructing a fragmentation rule engine and initializing a database in combination with hash, range and list fragmentation rules and a fragmentation splitting-merging strategy; generating a query abstract syntax tree by using an ANTLR4 analyzer, and detecting whether a preset Cube is hit or not to directly return a result; if not, dynamically routing to a target fragment list based on a fragment key field, load balancing and a failover strategy, accelerating data retrieval in combination with a high-frequency index, and combining fragment-level results through a T-TopK algorithm; according to the method, the self-adaptive matching of the fragmentation strategy and the service requirement, the calculation push-down of the query process and the result optimization are realized, and the low delay and the high availability in a high-concurrency scene are ensured.

Aspects of the present disclosure provide a failover service in part by utilizing a smartphone when a business or home modem is inoperable or otherwise unable to provide adequate internet service. Once the smartphone is paired with a communication bridge, the smartphone may be used to provide internet services to wired and wireless devices associated with a first network. The smartphone can utilize its cellular network interface to connect to the internet and provide internet connectivity via the communication bridge to a router or gateway which, in turn, enables devices connected to the router or gateway to access the internet without having to connect directly to a separate network provided by the smartphone. Aspects of the disclosure may rely on machine learning to optimize network and / or device communications, configurations, and / or other failover parameters.

The present application discloses a method, system, and computer system for performing failovers of traffic carrying devices. The method includes (i) generating, by one or more processors a virtual routing IP address that is common to a plurality of network nodes, and (ii) sending to an upstream device a physical IP address for a particular network node of the plurality of network nodes, wherein the physical IP address is sent as metadata in a packet to the upstream device.

A dynamic event-driven API orchestration system (100) for cloud-native environments, including: an event-driven API trigger module configured to wait for system events (100), user actions, or data updates and dynamically invoke API requests; an intelligent workflow orchestration module designed to optimize API execution sequences based on workload, system state (100) and dependency constraints; an AI-based load balancing module that dynamically distributes API requests across multiple servers or endpoints to avoid bottlenecks; a failover and fault tolerance module configured to detect API failures, perform automatic retry attempts, implement fallback strategies, and dynamically redirect requests; a module for asynchronous and parallel execution that enables the simultaneous processing of APIs, reduces response times and improves throughput; a security and compliance module that integrates adaptive authentication mechanisms, real-time threat detection, and policy-based access controls for API interactions; a module for scalability and cloud-native integration for seamless deployment across Kubernetes, serverless architectures, and multi-cloud environments; and a monitoring and analysis module that enables real-time tracking of API performance, failure rates, and traffic patterns to gain predictive insights for optimization.

Solutions for service aware proxy-call session control function (P-CSCF) traffic routing include: receiving, at a master P-CSCF in a pool of a plurality of P-CSCFs, internet protocol (IP) multimedia subsystem (IMS) traffic from a device; determining, by the master P-CSCF, a traffic type (e.g., 5G, 4G, SMS, WiFi, etc.) of the IMS traffic from the device; based on at least the traffic type of the IMS traffic from the device, selecting, by the master P-CSCF, a serving P-CSCF from the pool for the device; and forwarding, by the serving P-CSCF for the device, the IMS traffic from the device to an IMS. In some examples, the serving P-CSCF selection also includes loading considerations. In some examples, an alternate P-CSCF is available for failover as the new master P-CSCF. In some examples, a network includes multiple pools of P-CSCFs, with each pool having its own master P-CSCF and alternate P-CSCF.

Described is an improved approach to IP failover in a computing system. An approach is described which allows each node to perform its own sorted ordering of the interface devices on that node, but in a way where each node will deterministically come up with the exact same sorted order as another node. In this way, each node will select the exact same failover target as any other node, without requiring complicated coordination logic and without the need for a centralized coordinator.

An example file server manager updates a selected share of a destination distributed file server based on a snapshot of at least a portion of a selected share of a source distributed file server. The selected share of the destination distributed file server is updated while the source distributed file server serves client requests for storage items of the selected share of the source distributed file server. The file server manager receives a request to failover from the source distributed file server to the destination distributed file server and configures the destination distributed file server to service read and write requests for storage items of the selected share of the destination distributed file server. The file server manager further redirects client requests for storage items of the selected share of the source distributed file server to the destination distributed file server by updating active directory information.

The invention provides a replication method based on a consensus protocol. For each change operation performed by the leader server on the copy of the database, the leader server creates a copy log record and returns the result to the client. The leader does not wait for a consensus for the change operation from the follower. For submission, the leader creates a submission log record and waits for a consensus. Thus, the leader asynchronously performs database transactions, asynchronously performs replication of change operations, and synchronously performs replication of transaction submissions.

The invention discloses a multi-modal data source probe state monitoring and failover method and system, and relates to the field of Internet, the method comprises the following steps: respectively deploying data acquisition probes at a wireless access network node and a core network UPF node to obtain preprocessed network data of the wireless access network node and preprocessed network data of the core network UPF; obtaining abnormal risk prediction information through an AI monitoring model; adjusting parameter configuration of a wireless side and a core network UPF side according to the abnormal risk prediction information; and based on the adjusted parameter configuration of the wireless side and the core network UPF side, feeding back to the service awareness module so as to realize failover. According to the method, a cross-domain and cross-layer unified probe monitoring system is realized, a dynamic, explainable and closed-loop network fault analysis and regulation and control mechanism is constructed through AI technologies such as a graph neural network and reinforcement learning, and the network state sensing precision, the response timeliness and the optimization intelligent level can be remarkably improved.

Techniques for limiting or reducing storage accessibility “hiccups” in active-active clustered systems that perform large writes. The techniques can include executing, by a surviving, failover, or rebooted node of an active-active clustered system, a specialized recovery protocol that includes treating each large write request from a host computer as a plurality of small write requests while execution of the specialized recovery protocol is in progress, draining all dedicated sub-ubers for a primary and secondary node of the active-active clustered system, and, having completed execution of the specialized recovery protocol, resuming normal treatment of large write requests from the host computer. In this way, the need and complexity of managing large writes and maintaining their corresponding sub-uber information during recovery from a forced reboot, crash, or disaster involving the primary or secondary node can be avoided, and storage accessibility hiccups due to performing the large writes can be limited or reduced.

Method and apparatus for performing proactive input-output (IO) failover based on predicting optical transceiver module hardware failures in a host bus adapter (HBA) are described. An example method includes registering with an HBA to receive a notification that a first path via the HBA is predicted to fail. The notification is based on a set of parameters of an optical transceiver module coupled to the first path. A set of parameters of the optical transceiver module are monitored in accordance with the registration. At least one of the set of parameter is determined to satisfy a predetermined criteria. Responsive to the determination, the notification that the first path via the HBA is predicted to fail is sent, a second path via the HBA for issuing an IO operation is determined, and the IO operation is issued via the second path.

Multi-site distributed storage systems and computer-implemented methods are described for improving a resumption time of input / output (I / O) operations during an automatic unplanned failover (AUFO). A computer-implemented method includes monitoring, with a second cluster, heartbeat information received at ultra-short time intervals from a first connection of one or more storage objects of the first cluster, determining, with the second cluster, whether the heartbeat information from the first connection is received during an ultra-short time interval, and intelligently routing heartbeat information from the one or more storage objects of the first cluster from the first connection to a second connection when the heartbeat information from the first connection is not received during the ultra-short time interval.

Techniques are disclosed for a network device that performs gradual failover of sessions from a first link to a second link. For example, a network device forwards network traffic of a plurality of sessions over the first link. The network device determines that a performance of the first link does not satisfy a performance requirement. Based on the determination, the network device forwards network traffic of a first portion of the plurality of sessions over a second link and not the first link. The network device determines that a performance of the second link satisfies the performance requirement while carrying the network traffic of the first portion. Based on the determination, the network device forwards network traffic of a second, larger portion of the plurality of sessions over the second link and not the first link.

An illustrative data storage management system comprises a management database that stores administrative preferences and system configurations, as well as results and / or statistics of completed secondary storage operations, i.e., information needed by the system to protect customers' data and to track and recover the protected data, including secondary copies such as backup copies, archive copies, etc. The disclosed data storage management system is configured to protect its own system data subject to a very aggressive (short) Recovery Point Objective (RPO), by using an innovative infrastructure that enables the system's storage manager to fail over to any number of other failover destination storage managers, each one comprising a destination management database. An illustrative database granularly tracks whether each and every transaction log file has been successfully applied to each and every destination management database to synchronize with the source management database.

A consensus protocol-based replication approach is provided. For each change operation performed by a leader server on a copy of the database, the leader server creates a replication log record and returns a result to the client. The leader does not wait for consensus for the change operation from the followers. For a commit, the leader creates a commit log record and waits for consensus. Thus, the leader executes database transactions asynchronously, performs replication of change operations asynchronously, and performs replication of transaction commits synchronously.

Methods, systems, and products for sustainable Reliability, Availability, and Serviceability (RAS) balancing based on predictive models includes predicting, based on one or more predictive models, a potential failure within a computing system, and provisioning, based on the potential failure, one or more redundant resources for failover.

Methods and systems for high speed failover in a network are provided. To provide faster Type C GPON redundancy failover, the disclosure herein describes the use of G.8031 1:1 ELPS in a single ended application to ensure path integrity through the network. Single ended 1:1 ELPS means that a network device is configured with 1:1 ELPS and switches paths in the event of disruption of the working communication path without the other underlying transport entities having knowledge of either the ELPS protocol or state machine. ELPS (Ethernet Linear Protection Switching, ITU G.8031) is a standardized method for protection switching between two point-to-point paths through a network, however its application here is quite novel. During a failure on the working path, traffic will switch over to the protection path. Type C PON protection provides a fully redundant path between the OLT and the ONU (2 separate PONs).

The invention relates to the technical field of financial database processing systems, and discloses a financial database processing and analyzing system with a data protection function, which comprises a system architecture design module, a data protection strategy module, a data processing and analyzing module and a security scale module. The invention relates to a financial database processing and analyzing system which improves performance and data processing capacity and ensures data safety and privacy. The system realizes high availability and stability through technologies of read-write separation, fault transfer, health examination and the like; data protection strategies such as dynamic desensitization, secondary authorization and encryption further guarantee data security; the data processing and analysis module is combined to enhance the data processing and analysis capability of financial services, and the security and scale module ensures the overall security of the system; compliance evaluation ensures that the system conforms to related laws and regulations; in short, the system provides an efficient, safe and compliant data processing analysis scheme for the financial industry.

The invention discloses a private cloud platform-based micro-service application remote main and standby disaster recovery rapid switching method, relates to the technical field of computers, and is used for solving the problems of long remote main and standby disaster recovery switching time, cold start storm, insufficient capacity evaluation and discharge strategies and complex back switching. The switching process is decomposed into controllable steps by combining real-time state feedback through a clear sequential arrangement and batch reconnection strategy of a data surface and a control surface, so that the switching time is remarkably shortened, the target of minute-level continuous availability is met, and meanwhile, the switching efficiency is greatly improved through heat set construction and standby side quasi real-time preheating before switching. Core hotspot data and indexes are loaded to the standby side in advance, it is ensured that the standby side has the high cache hit rate and index availability during master raising, and therefore the performance bottleneck caused by access of a large amount of cold data is avoided.

Network address migration using a destination compute instance to update network configuration information in a cloud environment is disclosed. A network interface either using a private address within a subnet corresponding to the created network interface or using a floating address outside of the subnet corresponding to the created network interface is created. A first node of the HA pair with a service provider interface. The first node is an active data server of the HA pair and the second node is a backup node of the HA pair. Requests are serviced the first node using the created network interface. Upon failure of the first node, the second node performs a failover, wherein if the first node was utilizing a floating address, the second node registers the second node with the service provider interface by adding an address of the second node to the route table.

The invention provides a bank omni-channel message intelligent management and control method and system, and the method comprises the steps: accessing a standard structured event pushed by a business system, carrying out the compliance and anti-repetition verification, and obtaining a standardized event object; performing three-dimensional dynamic strategy matching on the received standardized event object to obtain a decision result containing a trigger rule ID; selecting a message sending channel based on the decision result containing the trigger rule ID, adopting a policy mode to realize multi-channel routing, and setting in a failover mechanism to obtain a channel execution context; and carrying out data storage on the standardized event object, the decision result containing the trigger rule ID and the channel execution context, and meanwhile, establishing an index to construct a full-link tracking index. According to the method, unified management and control of the messages are realized through standardized access and intelligent routing, accurate touch is ensured by adopting dynamic strategy matching, and unified management and control, dynamic optimization and visual monitoring of the whole message sending process are finally realized by combining failover and full-link tracking.

Described are memory systems and devices in which each memory die in a three-dimensional stack of memory dies includes drive and receive circuitry that can communicate data signals from the stack on behalf of all the memory dies in the stack. The drive and receive circuitry, if defective on one device in the stack, can be disabled and substituted with the drive and receive circuitry from another. The stack of memory dies can thus function despite a failure of drive or receive circuitry in one or more of the memory dies. Each memory die includes test circuitry to detect defective drive and receive circuitry.

The present application provides a multi-dimensional data fusion analysis method and device for digital twins, which relates to the technical field of data analysis and includes: constructing M fault prediction models in a target power plant; performing multi-level data fusion modeling on multiple power plant systems; loading the M fault prediction models into multiple system-level digital twins; performing multi-level fault transfer analysis on the target power plant; rendering fault conduction on the initial twin of the power plant according to the power plant fault state transition diagram to obtain the digital twin of the power plant; loading M pieces of real-time device operation data into the M fault prediction models, and after obtaining the operation states of M devices, visualizing the operation states of M devices in the digital twin of the power plant. Through the present application, the technical problem in the prior art that the operation and maintenance efficiency of the power plant is low due to the lack of effective fusion of multi-dimensional data can be solved. By constructing the digital twin of the power plant, the visualization of the device operation state is realized, and the operation and maintenance efficiency of the power plant is improved.

The present disclosure relates to methods and apparatus that registers a plurality of mesh node devices to operate as part of a wireless mesh network after a user device scans encoded information that is unique to each mesh node of a plurality of different mesh nodes. After codes associated with different respective mesh nodes are scanned by a user device, that user device may communicate with these different mesh nodes via a low power communication interface and the user device may send registration information to a registration computer via a secure communication channel. Apparatus consistent with the present disclosure may also receive a validation code from the registration computer via a communication channel that is different from the secure communication channel and these apparatus may then send the validation code to the registration computer via the secure communication channel when the user device is validated by the registration computer.

Techniques are provided for on-demand serverless disaster recovery. A primary node may host a primary volume. Snapshots of the primary volume may be backed up to an object store. In response to failure, a secondary node and / or an on-demand volume may be created on-demand. The secondary node may provide clients with failover access to the on-demand volume while a restore process restores a snapshot of the primary volume to the on-demand volume. In some embodiments, there was no secondary node and / or on-demand volume while the primary node was operational. This conserves computing resources that would be wasted by otherwise hosting the secondary node and / or on-demand volume while clients were able to access the primary volume through the primary node. Modifications directed to the on-demand volume are incrementally backed up to the object store for subsequently restoring the primary volume after recovery.

The invention discloses a unified key management method and device for a distributed password service component, and aims to solve the problems of single-point failure, consistency deficiency and insufficient life cycle management and control of existing key management. According to the method, based on a distributed key generation protocol, Shamir secret sharing, PBFT consensus and Lagrange interpolation, key generation, distributed storage, safe distribution and dynamic rotation whole-process management and control are achieved. The device is composed of n nodes including a processor, a memory and a communication and key processing module, and supports encrypted storage, secure communication and consensus collaboration. Security is guaranteed through a threshold mechanism, hash verification and a hash chain technology, availability is improved through SDN optimization and failover, and nodes and parameters can be flexibly adapted and expanded. The method is applied to scenes such as a power grid, gives consideration to safety, availability and compliance, and is suitable for unified key management of distributed system password services.

Disclosed is a system for implementing a distributed encrypted database across database nodes of a distributed server network. The system comprises at least one server. The at least one server is configured to execute a database management system to configure at least one database node of the distributed encrypted database with a first software to provide automated failover and replication capabilities in the distributed encrypted database. Moreover, the database management system is executed to integrate a second software with the database management system and encrypt data at rest in a distributed encrypted database by employing the second software; and integrate a third software with a first platform that is capable of authenticating users of the distributed encrypted database for controlling access to the encrypted files. Disclosed also is a method for implementing a distributed encrypted database across database nodes of a distributed server network.