840 results about "Server system" patented technology

A management server system may obtain data associated with a vehicle. The management server system may obtain the data from a plurality of data sources associated with the vehicle. The data may include a plurality of subsets of data that each correspond to correspond to a particular driver assignment category. Each subset of data may identify a particular persona as a driver of a vehicle. The management server system may determine a driver of the vehicle based on each subset of data and a hierarchical plurality of driver assignment categories. Based on the determination of the driver of the vehicle, the management server system can dynamically map the driver to a particular event. The management server system may generate a user interface identifying the driver and the event.

A management server system may obtain a request for image data from a computing device. The request may identify a subset of image data to be downloaded and / or streamed to the computing device. The management server system can provide an indication of a storage destination for the image data to a gateway device and initiate upload of the image data from the gateway device to the storage destination. The management server system may monitor the upload and, based on the monitoring, determine the upload is complete. The management server system can cause display of a user interface that includes a visualization of the image data for download of the image data from the storage destination to the computing device.

The invention discloses a network card adapter plate and a server system, and relates to the technical field of computers, the network card adapter plate comprises a power supply connector, a plurality of node connectors, a power supply and time sequence signal processing module and a plurality of network card connectors, the power supply connector is connected to a power supply board, the plurality of node connectors are respectively connected with different server nodes, and the power supply and time sequence signal processing module is connected with the network card connectors. The plurality of network card connectors are respectively configured to be connected with different interfaces of a network card; the power supply and time sequence signal processing module comprises a power supply enabling control unit, an electronic fuse and a main power supply time sequence signal generating unit; the power supply enabling control unit enables the electronic fuse to supply power to the network card when the hot plug-in condition is met and no hot pull-out operation exists; the power supply normal signal output end of the electronic fuse outputs an auxiliary power supply time sequence signal to the network card; and the main power supply time sequence signal generation unit outputs a main power supply time sequence signal to the network card when receiving the network card power supply normal signal and having no hot pull-out operation. According to the invention, hot plugging of the network card is realized in a multi-node sharing environment.

Techniques for cluster failure management in telecommunications systems are provided. In one example, a cellular network includes: a first radio unit (RU) that supports a first cell of the network, a second RU that supports a second cell, and a server system in communication with both RUs. The server system comprises a first server and a second server. A first pod acting as a distributed unit for the first RU is active on the first server and instantiated on the second server. A second pod acting as a distributed unit for the second RU is instantiated on the first server and active on the second server. A control plane executing on the first server manages execution of both pods, in response to determining that a pod is no longer active on a server, activates the pod on the other server.

Provided in the embodiments of the present application are a server system, a resource scheduling method for a server system, and a chip and a chiplet. The server system comprises: a multivariate computing resource pool, a data storage resource pool, a switching module and a control module, wherein the multivariate computing resource pool comprises a general computing resource pool and a heterogeneous computing resource pool, the general computing resource pool comprising a group of general computing units, and the heterogeneous computing resource pool comprising a group of heterogeneous computing units, and the multivariate computing resource pool is connected to the data storage resource pool via the switching module by means of a cache consistency bus inside the server system; the data storage resource pool comprises data storage resources allowed to be shared by multivariate computing resources in the multivariate computing resource pool; and the control module is configured to perform computing power scheduling on the multivariate computing resources in the multivariate computing resource pool, and dynamically allocate the data storage resources in the data storage resource pool to the multivariate computing resources in the multivariate computing resource pool.

The present disclosure proposes a liquid cooling system with leak protection and method for cooling liquid leak protection. The liquid cooling system is adapted to a server system including a rack and a server. The liquid cooling system includes: a cooling distribution unit (CDU), a liquid detector, a local leak management device and a central leak management device. The CDU distributes coolant to a cold plate disposed inside the server through a manifold and a water valve. The liquid detector is disposed inside the sever and configured to generate a server leakage event. The local leak management device is disposed inside the rack and configured to control the sever to shutdown after data archiving, close the water valve and output a server leak notification after receiving the event. The central leak management device controls the CDU to reduce a flow rate distributed to the cold plate based on the notification.

The invention provides a hydropower station fusion computing power intelligent server system, and relates to the technical field of carbon emission. The method comprises the following steps: an acquisition correction module acquires hydropower station generation power data and server cluster instantaneous energy consumption data in real time, establishes a time sequence corresponding relation between a power generation side and a power utilization side, and obtains clean energy supply quantity data; the prediction scheduling module generates a non-tampering carbon footprint tracking chain number, and predicts a clean energy supply fluctuation trend sequence by adopting a long short-term memory network algorithm; training a random forest model to predict a computing power demand trend sequence; optimizing task scheduling according to a carbon emission minimization target, and generating dynamic balance configuration data of a computing power task and clean energy supply; and the monitoring evaluation module outputs computing power task level carbon emission and a clean energy use ratio in real time through an application programming interface according to the dynamic balance configuration data, and generates quantitative evaluation data of a computing power service carbon neutralization target by adopting a data visualization technology monitoring technology.

Embodiments provide artificial intelligence methods and systems for evaluating vulnerability risks of issuer authorization system. Method performed by a server system includes accessing a set of payment transaction data including subset of fraudulent transaction data. Method includes generating via a machine learning model, set of synthetic transaction data based on the subset of fraudulent transaction data. Method includes accessing set of historical card velocity features and collating the set of synthetic transaction data and the set of historical card velocity features to generate set of enriched synthetic transaction data. Method includes extracting via a classifier, subset of feasible fraudulent transaction data from the set of enriched synthetic transaction data. Method includes generating simulated authorization model based on the set of payment transaction data. Method includes classifying via simulated authorization model, each enriched synthetic transaction from the subset of feasible fraudulent transaction data as one of fraudulent transaction and non-fraudulent transaction.

Methods, apparatus, and systems for adaptive collaborative memory with the assistance of programmable networking devices. Under one example, the programmable networking device is a switch that is deployed in a system or cluster of servers comprising a plurality of nodes. The switch selects one or more nodes to be remote memory server nodes and allocate one or more portions of memory on those nodes to be used as remote memory for one or more remote memory client nodes. The switch receives memory access request messages originating from remote memory client nodes containing indicia identifying memory to be accessed, determines which remote memory server node is to be used for servicing a given memory access request, and sends a memory access request message containing indicia identifying memory to be accessed to the remote memory server node that is determined. The switch also facilitates return of messages containing remote memory access responses to the client nodes.

The invention discloses a large model deployment method based on heterogeneous resource scheduling and multi-model collaborative reasoning, and relates to the field of artificial intelligence and server system deployment. Comprising the following steps of: 1, calculating a deployment score of a target model by utilizing a deployment scoring function according to a GPU video memory residual rate, a CPU load, network delay and a current task quantity of each node through a heterogeneous resource sensing scheduler, and selecting a node with the highest score of the target model to load or reuse the target model; a cache index key is generated, and whether key value KV pairs supporting multiplexing of the target model exist or not is inquired; step 3, if the cache is hit, skipping a forward propagation stage, and directly decoding based on a cache result, otherwise, executing complete forward reasoning and writing the result into the cache; 4, based on a plurality of user requests, performing fusion according to user priorities, model weights, reasoning costs and cue word lengths to generate execution sorting weights, and scheduling execution models in batches according to the weights; and 5, returning the model response to the user, and releasing or updating node state information.

The present disclosure relates to a liquid cooling server cabinet, including a cabinet body, a liquid cooling module, and a pluggable assembly. The cabinet body is provided with a receiving cavity, and the pluggable assembly is arranged in the receiving cavity. The pluggable assembly includes at least one pluggable portion. The liquid cooling module includes at least one liquid cooling unit corresponding to the at least one pluggable portion. The pluggable portion is configured for a plugging and mounting of a single-node server that defines a cooling cavity. When the pluggable portion is mounted with the single-node server, the liquid cooling unit is communicated with the cooling cavity of the corresponding single-node server.

The present application belongs to the field of server cooling. Disclosed are a liquid cooling device and a server system. The liquid cooling device comprises: a housing and a heat conduction tube assembly; a cooling liquid is provided in the housing, and is configured to immerse a server assembly; the heat conduction tube assembly is arranged in the housing and has a first end and a second end which are opposite to each other, wherein the first end is located below a liquid level of the cooling liquid, the second end is located above the cooling liquid, and the second end is connected to a cooling assembly; and the cooling assembly transfers a cold source fluid to the second end, the cold source fluid cools the second end, a heat diffusion working medium is placed inside the heat conduction tube assembly, the state of the heat diffusion working medium is changeable, and the states of the heat diffusion working medium include a gaseous state and a liquid state.

The invention discloses an interface design and implementation method of a BMC (Baseboard Management Controller) remote management system based on Redfish. According to the method, a multi-module resource model conforming to Redfish specifications is constructed in a baseboard management controller (BMC), management modules including Systems, Chassis, Managers, Account Service, Session Service, TaskService, Update Service, FRU and the like are integrated, and a unified RESTful interface architecture is formed. The method supports standardized access to management functions such as a server system state, hardware assets, a user account, remote control and firmware upgrading, and meanwhile, a unified authentication mechanism and an asynchronous task mechanism are introduced, so that an efficient and safe out-of-band management process is realized. The system has the advantages of uniform interface, clear structure, safety, controllability, high expandability and the like, and is suitable for various data center and server remote management scenes.

The present application relates to the technical field of computers, and discloses a cold plate, a server, and a server system. The cold plate of the present application comprises: a cold plate body, a cooling liquid cavity being formed in the cold plate body, and a heat exchange plate configured to be connected to a heat source being formed on one side of the cold plate body; a jet structure arranged in the cooling liquid cavity and partitioning the interior of the cooling liquid cavity into a first cavity and a second cavity, the second cavity being formed between the jet structure and the heat exchange plate, and jet holes for spraying cooling liquid toward the heat exchange plate being formed in the jet structure; a cooling liquid inlet communicated with the first cavity; and cooling liquid outlets communicated with the second cavity, the cooling liquid outlets being arranged in pairs and respectively formed in two sides of the cold plate body. In the cold plate of embodiments of the present application, after being sprayed onto the heat exchange plate, the cooling liquid can diffuse to the two sides of the cold plate, and flow out through the cooling liquid outlets in the two sides of the cold plate, such that the heat distribution on the two sides of the cold plate is more uniform, thereby providing a more uniform temperature distribution on the surface of the heat source.

The invention discloses a protocol conversion method and device, a medium and a server system, and relates to the technical field of servers. Once an original protocol type is determined, a dynamic interface routing controller calls a corresponding conversion program stored in a mapping table; and converting the detected heterogeneous bus protocol command into a unified single-line serial bus protocol operation code. As the conversion program and the protocol characteristics are stored in the mapping table, the method has infinite protocol expansion capability, a new protocol can be supported by updating the mapping table and a detection engine without redesigning hardware or modifying codes of an editable logic device, the system design is greatly simplified, and the development cost is reduced. Therefore, the problem that the current programmable logic device can only realize single interface protocol conversion is solved.

A CXL memory fault tolerance method, and a server system, a storage medium and an electronic device. The method comprises: acquiring parameter values of a group of operating parameters of CXL memory devices in a CXL memory device group, wherein the group of operating parameters are used for representing the operating states of the corresponding CXL memory devices; on the basis of the acquired parameter values of the group of operating parameters, predicting the operating states of the CXL memory devices in the CXL memory device group; and when it is predicted that there is an abnormal memory device operating abnormally in the CXL memory device group, performing controlling to execute a migration operation on memory data in the abnormal memory device, so as to migrate the memory data in the abnormal memory device to a target memory device operating normally in the CXL memory device group. By means of the present application, the problem of CXL memory fault tolerance methods in the prior art of the memory utilization rate of a server being low due to a hot standby memory occupying a server slot is solved.

A management server system may obtain data associated with a vehicle. The management server system may obtain the data from sensors and a dashcam within the vehicle. The management server system may determine a driver and / or vehicle profile based on the collected data and make assignments of drivers and / or vehicles to particular delivery tasks. The driver and / or vehicle profile may be generated by applying an encoder of a neural network. A second ranking neural network can be applied to generate ranking scores for each driver and / or vehicle for a particular delivery task, which can be used to select the optimal driver and / or vehicle for the delivery. The management server system may apply the driver and / or vehicle profile with potential routes for a delivery task to a neural network to identify a recommended route for the delivery task.

The invention discloses a map updating method and device, a server, a system and a medium, and is suitable for updating and maintaining a high-precision map, and the method comprises the steps: collecting the track information of a vehicle and a synchronous road environment image collected through a vehicle-mounted visual sensor; recognizing and extracting perception elements including lane lines and ground marks from the image; converting the identified perception elements from an image pixel coordinate system to a geographic coordinate system, and generating perception elements of geographic reference; correlation matching is carried out on the perception elements of the geographic reference and corresponding map elements in a map database, and the quality of each time of matching observation is evaluated to generate a corresponding matching probability value and a quality weight; based on the matching probability value and the quality weight, calculating the support degree of single observation on map element state hypothesis; fusing the observation support degrees from a plurality of vehicles and a plurality of moments, and calculating a posterior probability of map elements needing to be updated; and deciding whether to update the map elements according to the posterior probability.

The invention discloses a self-adaptive heterogeneous server system based on AI prediction and dynamic hardware reconstruction and a resource management method of the self-adaptive heterogeneous server system, relates to the technical field of server hardware architecture and resource management, and discloses the self-adaptive heterogeneous server system based on AI prediction and dynamic hardware reconstruction and the resource management method of the self-adaptive heterogeneous server system. Through the dynamic adjustment capability of the modular heterogeneous hardware unit pool and the reconfigurable interconnection Fabric and in combination with the accurate prediction of the AI prediction engine on the resource demand and power consumption, the real-time optimal configuration and heat dissipation management of the hardware resources are realized, the resource utilization rate of the server can be improved, the energy consumption can be reduced, and the diversified workload demand of the server can be adapted.

The invention discloses a fault detection method for a liquid cooling server system. The method comprises the following steps: acquiring the total liquid flow of the liquid cooling server system and the branch liquid flow of a branch pipeline corresponding to each slave server in real time; summarizing the total liquid flow and the branch liquid flows at the main server to obtain a first liquid flow, performing consistency verification on the sum of the branch liquid flows and the total liquid flow, and if the consistency verification is passed, comparing and analyzing the branch liquid flows to identify a fault pipeline with abnormal flow; on the contrary, the deviation degree between the first liquid flow and the flow velocity change mode of the liquid cooling server system in the normal operation state is calculated through a time sequence anomaly detection model, and an early warning signal is generated when the deviation degree exceeds a preset threshold value. The flow velocity sensors are arranged in the main pipeline and the branch pipelines, so that the fault range can be reduced to the specific abnormal pipeline when the abnormal flow is monitored, the technical problem that the fault server cannot be accurately detected and positioned is solved, and the early warning of tiny faults which are not monitored temporarily can be realized.

The present application relates to the technical field of computers. Provided are methods and apparatuses for handling a non-recoverable system fault, and an electronic device and a non-transitory readable storage medium. A method is applied to a BMC, and comprises: collecting register data of a processor after a fault check signal is detected, wherein the fault check signal is sent to a BMC by an on-chip controller upon detecting that a flag bit of a fault isolation register is set; analyzing the register data to obtain positioning information of a faulty device; and triggering a warm reboot of a system, wherein during the warm reboot of the system, the positioning information is used for instructing a host BIOS to disable the corresponding faulty device on the basis of the positioning information. In the present application, after a non-recoverable system fault is detected, out-of-band collection and analysis are performed on the register data of the processor by means of the BMC, and the processes of data collection and analysis do not occupy processor resources, thereby greatly reducing the workload of the processor, ensuring the processing performance requirements of the processor for a real user service, and improving the stability of a server system.

Systems and methods for providing an intelligent network to onboard patients to specialty medications are described herein. A server system for managing communication is configured to receive from a user at a healthcare practice, an electronic request to obtain a medical prior authorization (medPA) for a specialty drug to administer for a patient of the healthcare practice; select, using a rules service, a communication pathway to submit the medPA to a healthcare payer from a plurality of communication pathways; and initiate a connection with the healthcare payer using the selected communication pathway.

The invention relates to the technical field of data processing, and discloses a computing power server system layer optimization method and system oriented to a high-load scene. The method comprises the steps of collecting micro performance indexes such as the CPU instruction cycle number and the page table missing frequency, constructing a three-layer causal directed acyclic graph through Granger causal inspection, reducing a parameter search space based on bottleneck node reverse backtracking, generating an interpretable optimization decision with a causal path and contribution degree quantification, and carrying out optimization on the basis of the interpretable optimization decision. The problems that the performance bottleneck root cause cannot be accurately positioned and the optimization result lacks transparency in the prior art are solved. According to the method, bottleneck node reverse backtracking and parameter space pruning are performed based on the causal atlas, so that the problem of low optimization efficiency caused by incapability of accurately positioning a performance bottleneck root cause and blind exploration of a parameter space in the prior art is solved.

The invention relates to the technical field of electric power artificial intelligence, in particular to an electric power artificial intelligence-oriented server and board card collaborative computing power scheduling method and system, and the method comprises the steps: receiving an electric power AI computing task, and carrying out the analysis of the task features of the task; monitoring the real-time resource state of the server system in real time; based on the task features and the real-time resource state, generating a collaborative scheduling strategy through an intelligent scheduling decision engine; generating and issuing a corresponding collaborative configuration instruction set according to the collaborative scheduling strategy; and the target AI intelligent computing board card executes a first action according to the computing power configuration instruction, and meanwhile, the server CPU executes a second action coordinated with the first action according to the coordinated resource instruction so as to jointly complete an electric power AI computing task. According to the technical scheme, the collaborative breakpoint problem in a task execution link is effectively solved, and refined collaborative scheduling of the server CPU and the AI intelligent calculation board card is achieved.

A printing control apparatus includes: at least one memory and at least one processor which function as: an obtaining unit configured to obtain contract information indicating a contract status about use of a specific service relating to a delivery of a consumable for use in printing; a processing unit configured to perform transmission processing of transmitting status information on the printing control apparatus to a server system after a specific event has occurred; and a display control unit configured to perform control such that, in a case where an error of failing the transmission processing after the occurrence of the specific event has occurred, predetermined information on the error is not displayed on a display unit if there is no contract with the specific service, and the predetermined information is displayed if there is a contract with the specific service, based on the contract status indicated by the contract information.

The present invention relates to a method and apparatus to quantify unusual aerial phenomena via a network of citizen operated personal devices. A feature of the present invention is an app that runs on popular personal devices. A further feature of the invention is a server system in communication with said app. A further feature of the invention is a means by which a user having spotted a potential event can quickly engage the app to begin a data collection mode. A further feature of the invention is a data collection mode that simultaneously records data including but not limited to video, audio, 9-axis IMU data, GPS coordinates, and time. A further feature of the invention is a method of tagging the collected data with a cryptographic signature 800 to ensure integrity. A further feature of the invention is real-time app communication to a centralized server. A further feature of the invention is an alert to other users indicating something of interest is happening nearby. A further feature of the invention is the a means by which the server can distinguish interesting events from non-interesting events. A further feature of the inventions is a means by which the server can analyze the data to obtain scientifically useful quantitative information.

A 5G server system establishes a wireless connection between a wireless device and a data network (DN) subsystem through a network slice. A user plane function (UPF) subsystem generates an aggregated wireless connection between the UPF subsystem and the DN subsystem by augmenting the wireless connection with additional network connections. The DN subsystem and the UPF subsystem transmit data packets from a Low Latency Low Loss Scalable Throughput (L4S) application server to the wireless device via the aggregated wireless connection. In response to a detection of the risk of reduced service performance, the system adds a notification to a respective data packet. The system causes the wireless device to forward a feedback message to the L4S application server upon receiving the notification. The system performs an action to prevent reduced service performance in response to receiving a request from the L4S application server.

The disclosure is directed to a system for managing fluid levels in liquid immersion cooling racks during the addition and / or removal of fluid displacing equipment. In some embodiments, the system is configured to determine expected fluid level changes based on the volume of fluid displacing equipment and a current fluid level of cooling tanks and / or reservoirs. Control commands are generated to actuate valves and pumps, ensuring fluid levels remain within operating setpoints to maintain coverage of remaining components and prevent overflow, in accordance with some embodiments. In some embodiments, temperature data is analyzed to evaluate the impact of fluid transfer on thermal requirements. In some embodiments, actual measurements from operations are stored to refine predictive models for future adjustments. In some embodiments, the system redistributes fluid. In some embodiments, program instructions automate fluid transfer operations among multiple immersion cooling racks simultaneously, ensuring consistent cooling performance across interconnected racks and reservoirs. In some embodiments an operator may be prompted to enter the quantity and models of heat producing equipment to be added or removed from the racks, the system may evaluate the various stores of fluid in the racks and reservoirs to determine whether the existing fluid stores, combined with intended additions and or deletions of heat producing equipment may be accommodated within the allowable limits of the system without need for ancillary addition or removal of fluid.

A BMC holds a host computer in a reset state by asserting a reset signal to the host computer. The BMC accesses at least a part of a BIOS image of the host computer from a storage device shared between the BMC and the host computer while the host computer is held in the reset state. The BIOS image is protected based on a private key of a public key / private key pair. The BMC validates at least the part of the BIOS image based on a public key of the public key / private key pair. The BMC releases the reset signal to enable the host computer to start a boot process upon successful validation of at least the part of the BIOS image.

The embodiment of the invention provides a split-board multi-path server system, method and device, the system comprises N mainboards, an adapter board and a management board, the mainboards are in communication connection with one another, the mainboards are in communication connection with the adapter board, and the adapter board is in communication connection with the management board; the mainboard sends an in-place signal to the adapter plate for representing the working state of the mainboard; the adapter board sends identification signals to the mainboards and the management board according to the number of the in-place signals to indicate the number of the mainboards in the current working state, and the management board monitors and manages the mainboards according to the identification signals; and the pre-configured first mainboard CPU opens an ultra-high-speed path interconnection UPI channel corresponding to the identification signal. By means of the technical scheme, the technical problems that in the prior art, a multi-channel server system is high in hardware cost, large in software complexity and inflexible in mainboard layout can be effectively solved.