15 results about "Availability management" patented technology

The invention discloses a bus dynamic scheduling method and system based on vehicle management, and the method comprises the steps: building a scheduling environment simulation system through collecting the historical data and real-time data of the operation of an electric bus, automatically generating passenger travel information based on bus line data and historical passenger getting-on data, carrying out the modeling of the bus operation as a dynamic discrete process, and carrying out the real-time scheduling of the electric bus. Constraints such as vehicle availability and charging limitation are introduced, and a bus operation simulation environment close to reality is constructed; establishing a Markov decision process based on a scheduling simulation environment, and definitely defining vehicle availability management parameters in a state space and a reward function; a Rainbow DQN model is adopted for training, a scheduling strategy is continuously optimized according to environment feedback, a dynamic scheduling scheme is generated by utilizing the model obtained through training according to real-time data reasoning, the travel requirements of passengers and the operation benefits of a bus company are considered on the premise that the vehicle availability is met, and intelligent scheduling decision support is provided for management personnel.

The invention discloses a high-availability management method of an MYSQL cluster, and relates to the technical field of database management. Comprising the following steps: step 1, managing the availability of an MYSQL slave cluster: forwarding a request to service ip ports of a plurality of slaves through an ip port bound with a unified application service gateway device by using the routing forwarding of the unified application service gateway device agent software application, configuring heartbeat check of the port of the unified application service gateway device, and according to the heartbeat check, managing the availability of the MYSQL slave cluster; 2, managing availability of the MYSQL host: establishing a standby machine of the MYSQL host, creating a new virtual ip, pointing the virtual ip to the MYSQL host and the standby machine, and when a software application is connected with the host through the virtual ip to perform write-in operation, switching to the standby machine when the MYSQL host is abnormal, and transferring the write-in operation to the MYSQL standby machine; and step 3, performing host data synchronization of the MYSQL slave cluster: when the MYSQL host is abnormal, synchronously pointing the slave to the standby, enabling the standby to synchronize the newest host log, ensuring the newest data, and synchronizing the host data by the slave cluster.

The embodiment of the invention relates to virtual machine availability management based on a distributed key value repository. A distributed key value repository is used to manage availability of virtual machines. The distributed key value repository includes a first entry and a second entry. The first entry represents a definition of a virtual machine, and the second entry represents that a first node of the cluster hosts the virtual machine. Managing the availability of the virtual machine includes detecting an unavailability of the virtual machine. Managing availability of the virtual machine includes, in response to detecting an unavailability of the virtual machine, writing a task entry to the distributed key value store to cause a second node of the cluster to create the virtual machine on the second node. Managing availability of the virtual machine includes rewriting the second entry such that the second entry represents that the second node hosts the virtual machine.

This application relates to a method, apparatus, device, and medium for human-computer interaction reliability testing. The method acquires the current network state and application requirements, and collects the gateway status of all proxy gateways in real time. It inputs the current network state and application requirements into a preset prediction model, which outputs the network state and application requirements for the next time step. Based on the next time step network state and application requirements, it determines the traffic demand for the next time step. Based on the next time step traffic demand and the gateway status of each proxy gateway, it determines the target proxy gateway. After acquiring the application request for the next time step, it outputs the application request through the target proxy gateway. By using a prediction model to determine the traffic demand based on the network state and application requirements, and thus determining the target proxy gateway, the method enables the output of application requests for the next time step, achieving availability management of the egress gateway to meet the diverse needs of enterprises for network egress management.

The present application relates to the technical field of communications, and provides an operation method and apparatus in non-primary channel access (NPCA), a device, and a medium. The method is executed by a first STA supporting an NPCA operation, and comprises: in an NPCA unavailable state or an NPCA energy saving state, executing a first operation. In the solution, during an NPCA operation, NPCA availability management can be performed on an STA supporting an NPCA operation, and the STA supporting the NPCA operation is coordinated or allowed to be in an NPCA unavailable state or an NPCA energy saving state, thereby avoiding a large amount of power consumption caused by frequent invalid switching of the STA, so that the STA can achieve an energy saving effect within a specific time period, and the communication efficiency is improved.

The present invention discloses a single-point service method for a GNSS enhanced service processing and solving system, the method comprising: judging the type of a current service node; if the current service node is a distributed cluster structure service node, when it is detected that the service single point where the running instance copy in the current service node is located needs to be stopped, switching the running instance copy on the service single point to other available service single points in the current service node; if the current service node is a master-slave chain structure service node, when it is detected that any service single point where the running instance copy in the current service node is located needs to be stopped, dynamically stopping the running instance copy, and suspending status monitoring of the running instance copy until the service single point where the running instance copy is located is restarted, supporting flexible and seamless upgrading and updating of each service node in the system, and realizing high-availability management of the GNSS enhanced service processing and solving system.

Techniques for providing merchant slot availability management using graphical user interfaces for mobile devices are discussed herein. Some embodiments may include a mobile device with processing circuitry configured to generate a multi-level graphical user interface (mGUI), and provide the mGUI to a touch screen display of the mobile device. The processing circuitry may be further configured to monitor a touch screen for various predefined user inputs for traversing tiered levels, and updating the mGUI. The mGUI may be used to implement interfaces various mobile device interfaces used for organizing hierarchal or structured data. For example, the mGUI may be used to implement a merchant slot management interface that allows merchants to dynamically adjust slot availability and associated properties, manage slots such as by creating tabs, or generate promotions for available slots.

System and method embodiments are disclosed for high availability management for open radio access network (O-RAN). The O-RAN may be deployed on cloud with the O-CU deployed on a region cloud, O-RUs deployed on a cell site O-Cloud, and O-DUs deployed on an edge cloud. Each O-RU may comprise one or more RF clusters, computation clusters, and interface clusters. O-RU instances and O-DU instances may be instantiated with redundancy on the cell site O-Cloud and on the edge cloud, respectively, to serve one or more users. Local and central high-availability (HA) managers may be used to monitor O-RU instance performance for failure prediction / detection and to monitor internal states of each O-DU instance. In response to O-RU instance failure or O-DU internal states beyond / below state thresholds, new O-RU or O-DU instances may be instantiated as replacement instances for O-Cloud high availability management.

Offline availability management for workspace content systems is disclosed. A system receives requests identifying database objects for offline availability. The system inserts entries into a first data structure identifying the object, and inserts lists into a second data structure indicating conditions for offline availability. Lists include an origin identifier for the initiating object, a source identifier for intermediate propagation objects, and an object identifier for the offline-available object. For collection views, the system inserts additional entries identifying displayed pages and lists indicating offline availability initiated by the collection view. The system stores object content data in a locally persisted data store and, as needed, loads it into memory for offline access by the client.

Systems and methods are provided for collecting, aggregating, and visualizing resource availability information for one or more medical facilities. In one example, a method includes receiving first data from a first medical facility, the first data received via a first data streaming process and in a first format; receiving second data from a second medical facility, the second data received via a second data streaming process and in a second format; processing the first data and the second data to generate one or more resource availability graphical user interfaces (GUIs); and outputting the one or more resource availability GUIs for display on a display device.

The invention relates to a gateway management method and device for an enterprise system network, equipment and a medium. According to the method, the current network state and the current application demand are acquired, the gateway states of all proxy gateways are acquired in real time, the current network state and the current application demand are input into a preset prediction model, the network state and the application demand at the next moment are output, and the network state and the application demand at the next moment are predicted according to the network state and the application demand at the next moment. And determining a flow demand at the next moment, determining a target proxy gateway according to the flow demand at the next moment and the gateway state of each proxy gateway, and after an application request at the next moment is obtained, outputting the application request at the next moment through the target proxy gateway. According to the embodiment of the invention, the traffic demand and the target proxy gateway are determined by using the prediction model for the network state and the application demand, so that the output of the application request at the next moment is realized, the availability management of the exit gateway is realized, and the diversified demand of an enterprise for the network exit management is met.

The application discloses a kind of public transport dynamic scheduling method and system based on vehicle management, by collecting the historical data and real-time data of electric bus operation, construct dispatching environment simulation system, based on bus route data and historical passenger boarding data automatically generate passenger travel information, bus operation is modeled as dynamic discrete process, and introduce vehicle availability and charging restriction and other constraints, build close to actual bus operation simulation environment;Based on the scheduling simulation environment, a Markov decision process is established, and the vehicle availability management parameters are clearly defined in the state space and the reward function;The Rainbow DQN model is used for training, the scheduling strategy is continuously optimized according to the environment feedback, and the trained model is used to infer and generate a dynamic scheduling scheme based on real-time data, taking into account passenger travel demand and bus company operational efficiency while meeting vehicle availability, providing intelligent scheduling decision support for management personnel.

The disclosure describes systems, devices, and methods for automating the reintegration of a failed virtual storage block into a file system service upon recovery of the virtual storage block. In an example embodiment, a method performed by a storage controller in a file system service is provided. In performing the method, the storage controller determines that a virtual storage volume of an array of virtual storage volumes has become unavailable, and in response to determining that the virtual storage volume has become unavailable, pauses use of the virtual storage volume and monitors for the virtual storage volume to return to an available state. Upon the virtual storage volume returning to the available state, the storage controller tests multiple portions of the virtual storage volume. After successfully testing the multiple portions of the virtual storage volume, the storage controller commences with the use of the virtual storage volume.

The invention relates to the technical field of computers, in particular to a seamless switching method and system for a wireless monitoring center server of a photovoltaic power station, and the method comprises the following steps: S1, carrying out the initialization configuration: building the real-time synchronization of a data layer between a main server and a standby server, configuring a high-availability management component to enable the main server to hold a preset virtual IP in a normal state; s2, periodically carrying out multi-dimensional health monitoring on the main server through a high-availability management component; and S3, when a multi-dimensional health monitoring result judges that the service capability of the main server is abnormal. According to the method and the device, the state indexes of the application layer and the data layer are comprehensively calculated into the quantized comprehensive health score, so that the technical defect that in the prior art, the health of the application process is judged only if the application process survives, and then switching to a standby server with seriously lagged data is triggered is overcome, and the effectiveness of service switching is ensured.

The invention provides a high-availability automatic inspection method and device for a data center, and relates to the technical field of information systems, and the method comprises the steps: obtaining a plurality of infrastructure operation and maintenance objects of the data center; performing domain division on the infrastructure operation and maintenance object; according to the historical data, determining a fault explosion range of each infrastructure operation and maintenance object; according to the fault explosion range and a preset high-availability layering model, performing high-availability layering on the plurality of infrastructure operation and maintenance objects; according to a domain division result and a layering result, performing high-availability modeling on the plurality of infrastructure operation and maintenance objects, and generating and displaying a high-availability view; according to the preset high-availability inspection model, high-availability inspection is performed on the infrastructure operation and maintenance object, and the high-availability inspection result is generated and displayed, so that the comprehensiveness and integrity of high-availability management of the data center can be improved, inspection omission is avoided, data center faults and loss caused by high-availability failure are effectively reduced, and the business continuity capability of the system is improved.