1415 results about "Server system" patented technology

The invention provides a heterogeneous acceleration pooling server system, a pooling resource allocation method and a medium, and relates to the technical field of computers, the heterogeneous acceleration pooling server system comprises a general computing resource pool, an internal bus switching module, an Ethernet switching module and a plurality of heterogeneous computing acceleration resource pools; the internal bus exchange module comprises a plurality of mutually connected high-speed data interconnection modules, each module is provided with a plurality of IO devices, the IO devices of the plurality of high-speed data interconnection modules overall allocate global unique codes, the general computing resource pool configures the required IO devices according to resource requirements after obtaining the resource requirements, and the required IO devices are distributed to the general computing resource pool according to the resource requirements. And establishing a heterogeneous computing resource allocation path to enable the general computing resource pool to be matched with one or more heterogeneous computing acceleration resource pools corresponding to the resource requirements, so that each general computing power unit can access any heterogeneous acceleration device, the system expansion capability is improved, and the resource utilization rate is improved when large-scale and diversified applications are dealt with. And the operation efficiency of the heterogeneous acceleration server is improved.

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.

The invention relates to a fault diagnosis method for a server. Efficient fault positioning and processing are achieved by constructing a multi-dimensional intelligent diagnosis system. Constructing a server virtual model at each node and establishing a connection relationship, and collecting various data and mapping the data to the virtual model; performing weighted fusion on the data through correlation analysis, and extracting fault features including time and space correlation by using a bidirectional long-short-term memory network; fault probability distribution is obtained by means of a dynamic fault knowledge graph and graph neural network reasoning, and a fault evaluation result is visualized in combination with a virtual model; and finally analyzing the behavior deviation through a neural network and generating a processing strategy. Real-time processing of multi-source data, intelligent extraction of fault features and dynamic deduction of fault propagation are achieved, the accuracy, the real-time performance and the automation level of server fault diagnosis are effectively improved, and predictive maintenance and intelligent decision making of a complex server system are achieved.

A device may receive, at a server system, a free-form query. The device may select two-way communication history records from a database associated with the free-form query to identify selected history records. The device may generate individual summaries of individual history records of the selected history records by processing a set of corresponding individual history records using a chunking algorithm, constructing language responses from outputs of the chunking algorithm using a large language model, and aggregating the language responses. The device may process the language responses using the large language model to generate an individual summary for corresponding individual history records.

Techniques for operating an environmental sensing system are described. In an example, a cloud-based server system receives a first indication that a first type of air pollutant is present within a first structure from a first plurality of indoor air quality (IAQ) sensing devices positioned within the first structure. A second structure within a predefined distance to the first structure is then identified by the server system. The server system then determines that the first type of air pollutant is not present within the second structure. The server system then causes a second plurality of IAQ sensing devices positioned within the second structure to change an operating mode from a normal sensitivity mode to a high-sensitivity mode.

The invention provides a fault rapid positioning method and device in an MGX system, and belongs to the field of server system management and fault diagnosis. The method comprises the following steps: determining an idle universal serial bus interface on a mainboard, and selecting a target USB interface and a fixed IP network segment configuration corresponding to the target USB interface from the idle USB interface; the BMC establishes a physical connection with a device where the HMC is located through the target USB interface, and constructs a virtual local area network channel; in the virtual local area network channel, performing out-of-band communication between the BMC and the HMC; the BMC obtains list information of each component in the MGX system from the HMC, and classifies the list information according to component types; the HMC pre-collects and stores the state information of each category according to the classification result; and the BMC periodically reads the state information based on the Redfish protocol, and identifies the fault in the MGX system according to the state information. According to the method and the device provided by the invention, the fault can be quickly and accurately positioned.

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.

Methods and systems for re-training a Machine Learning (ML) model using predicted features from a training dataset are disclosed. A method performed by a server system includes accessing a training feature set and a testing feature set from a database. In response to identifying an inclusion of at least one new feature in the testing feature set, the method includes training a surrogate ML model to predict a value for the new feature based on the testing feature set and determining, by the surrogate ML model, a predicted value for the new feature for each training data sample in a training dataset based on the training feature set. The method further includes generating a new training feature set for each training data sample based on the predicted value and the training feature set. The method includes re-training the ML model based on the new training feature for each data sample.

The invention discloses a test method of a server system, a storage medium, electronic equipment and a program product, and relates to the technical field of computers, and the method comprises the following steps: firstly, obtaining an equipment feature vector of a to-be-tested server system; performing fuzzy matching on the equipment feature vector and a feature description vector capable of performing server system testing in a driver library; if the matching is successful, collecting hardware characteristic parameters of the server system to be tested, and dynamically determining a test threshold value of the hardware state of the server system to be tested according to the environment parameters monitored in real time; and then testing the hardware state of the to-be-tested server system based on the hardware characteristic parameters and the dynamically determined test threshold. Compared with the prior art, automatic identification and adaptation of multi-manufacturer hardware equipment are realized, the time of manual intervention and the complexity of drive configuration are remarkably reduced, the test cost is further reduced, the test efficiency is improved, and meanwhile, the test accuracy and flexibility are also improved.

The invention discloses a method for processing an uncorrectable error of bus equipment and a server, relates to the technical field of servers, and aims to reduce the reporting frequency of the uncorrectable error by setting a suppression identifier of the uncorrectable error of the bus equipment and a time window of uncorrectable error statistics, and improve the reporting efficiency of the uncorrectable error when the uncorrectable error is triggered for the first time. According to the method, uncorrectable errors are reported, the uncorrectable errors are captured, it is ensured that initial errors are not missed, and when the error count of a time window is larger than a reporting threshold value, reporting is carried out again, error missing processing of error aggravation is avoided, redundant error reporting is reduced, an error reporting storm is inhibited through an inhibiting identifier, and the error reporting efficiency is improved. Therefore, the influence of frequent error triggering on the availability of a server system and normal operation of other services is reduced, the reliability of the server is improved, and the technical problems that frequent error triggering cannot be corrected, other service requirements are covered and the availability of the server system is influenced in the related technology are solved.

The invention discloses a macro server system, an application method, electronic equipment and a storage medium, and relates to the technical field of computers, physical devices (equipment components) of the macro server system are modularly designed to be combined into modules with different functions, and the physical devices support hot plugging, so that the physical devices can be conveniently and quickly combined into modules with different functions. Meanwhile, a plurality of physical devices are connected through a high-speed communication network to form a distributed module cluster, so that a large number of computing resources, management resources and network resources can be packaged into an independent server environment, and the limitation of a current server in the aspects of processor performance, bandwidth, physical structure, hardware quantity, firmware resources and the like is solved; according to the technical scheme, the macro server system capable of supporting large-scale data processing, high-concurrency access and complex operation is constructed, so that the technical problem of how to improve the performance and expandability of the server can be solved, and the technical effect of constructing the macro server system capable of supporting large-scale data processing, high-concurrency access and complex operation is achieved.

The embodiment of the invention provides a fault monitoring method and device for a liquid cooling system and a server system.The method comprises the steps that the liquid inlet temperature, the liquid outlet temperature and the flow of cooling liquid of the liquid cooling system are obtained in real time, the liquid inlet temperature is the temperature when the cooling liquid enters the liquid cooling system, and the liquid outlet temperature is the temperature when the cooling liquid flows out of the liquid cooling system; the current specific heat capacity of cooling liquid in the liquid cooling system is calculated according to the liquid inlet temperature, the liquid outlet temperature and the flow; and when the difference value between the initial specific heat capacity and the current specific heat capacity of the cooling liquid is larger than or equal to the specific heat capacity threshold value, a first alarm is given out to remind that the cooling liquid of the liquid cooling system goes bad.

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.

The invention discloses a server cabinet and a server system, and the server cabinet comprises a cabinet body which defines an equipment cavity with an open front side; the baffle divides the equipment cavity into an equipment area and a wiring area which are arranged left and right; the sliding rail is arranged in the equipment cavity and extends in the left-right direction, and the baffle is slidably connected with the sliding rail in the left-right direction; the plurality of partition plates are horizontally arranged in the equipment area, are arranged at intervals in the up-down direction and are connected with the cabinet body in a sliding manner in the front-back direction; the locking mechanism is arranged on the cabinet body and used for locking the partition plate to the cabinet body, and when the locking mechanism releases the partition plate, the partition plate can slide in the front-back direction. According to the server cabinet, the partition plate can be pulled out forwards, an operator can assemble and disassemble the server unit conveniently, the partition plate is locked through the locking mechanism, the server unit can be stably supported on the partition plate, the external cable and the server unit can be arranged in a separated mode through the baffle plate, and mutual interference is avoided.

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.

Embodiments relate generally to systems and VTOL aerial vehicles. An example central server system comprises: at least one central server system processor; and central server system memory storing central server system program instructions accessible by the at least one central server system processor, and configured to cause the at least one central server system processor to: receive vehicle registration data associated with a manned VTOL aerial vehicle; and determine that the vehicle registration data is associated with a manned VTOL aerial vehicle that is authorized to communicate with the central server system. Some embodiments include VTOL aerial vehicles in communication or communicable with a central server system.

A system, method and apparatus to control memory devices over computer networks. For example, a server system establishes a secure authenticated connection with a client computer system. Over the connection, the server receives from the client computer system a request identifying a memory device and determine, based on data stored in the server system, that the client computer system is eligible to control the memory device. In response to a request from the client computer system, the server system generates a digital signature for a command using at least a cryptographic key stored in the server system in association with the memory device. The client computer system receives the digital signature from the server system and submits the command with the digital signature to the memory device. The memory device validates the digital signature prior to execution of the command.

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 invention relates to the field of server systems, and discloses a server cabinet system, which comprises a real-time power monitoring module used for collecting server current data at a frequency of once per second, calculating real-time power and dynamically adjusting power distribution; the intelligent prediction and optimization module is used for predicting future demands and generating an optimal distribution strategy based on the normalized historical power consumption data and load data; and the redundant power supply switching module comprises a main power supply and a standby power supply converted by the lithium battery pack through an inverter, and is used for switching to the standby power supply when the voltage of the main power supply is lower than 180V for 10ms. According to the method, the elastic power supply strategy is generated by fusing the prediction demand and the two-dimensional weight of the service priority, the continuous operation of the core service is ensured, the prior art depends on a single priority label to allocate resources, the burst load and the long-term stability are difficult to balance, and the problem of resource waste caused by separation of the two is solved.

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.

The invention discloses a server system based on a public cloud technology and an access method thereof, and belongs to the technical field of cloud services. The server system comprises a server and an external device inserted in the server. A virtual machine manager in the server is used for providing a virtual external device and a virtual memory for a virtual machine in the server, the virtual external device is obtained through device simulation based on the external device, and the virtual memory is obtained through device simulation based on a memory configured for the external device. The virtual device driver of the virtual external device is used for sending an access request carrying the target GPA to the external device when the virtual external device accesses the target GPA of the virtual memory. And the external device is used for obtaining a target host physical address corresponding to the target client physical address based on the access request, obtaining target data recorded by the target host physical address, and sending the target data to the virtual device driver. According to the invention, the address translation performance of the server system is effectively improved.

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.

A storage system. The storage system includes a storage system cartridge module; and, a storage system housing, the storage system housing comprising a bottom wall and a front housing portion, the front housing portion extending substantially perpendicularly from the bottom wall, the front housing portion comprising a multi access option feature, the multi access option feature enabling a common storage system housing to be used with storage cartridge modules having a plurality of storage system access options.

The invention discloses a data transmission method, a server system, equipment and a medium, and relates to the technical field of data transmission, and the method comprises the steps: determining a sampling pulse corresponding to first target data, obtaining a plurality of sampling pulses in a segment through the segmentation processing of the sampling pulse, and taking the plurality of sampling pulses as target sampling pulses, so as to improve the accuracy of collecting effective data. According to the method, interference signals caused by corresponding jitter instability conditions under serial port hot plugging are avoided, and the target sampling pulses obtained after segmentation processing are used for keeping data stability and avoiding high possibility of doping of the interference signals at the same time. And determining the second target data based on the target sampling pulse, and improving the anti-interference performance of the second target data under the bit. The technical problems that normal serial port use cannot be maintained when jitter interference occurs in the hot plug process, and even the whole machine crashes can be solved, and the technical effect of improving the anti-interference performance of data is achieved.

The invention discloses a memory error correction method, a server system, electronic equipment and a storage medium, and relates to the technical field of storage software, and the method comprises the following steps: under the condition that a memory generates a current uncorrectable error, based on an uncorrectable error evolution rule, correcting the current uncorrectable error; a group of target historical correctable errors matched with the memory address of the current uncorrectable error is extracted from a historical error record file, the group of target historical correctable errors are tried to be corrected, and once the group of target historical correctable errors are successfully processed, the current uncorrectable error has an opportunity to be converted into a derivative correctable error, so that the correctable error cannot be corrected. According to the method, the source or mode of the current uncorrectable error is changed, at the moment, the memory error processing mechanism plays a role again, and then the derivative correctable error is corrected, so that the current uncorrectable error is fundamentally solved, and the problem that the multi-bit error cannot be effectively corrected when the uncorrectable error occurs in the memory is solved. And the problems of data loss and server system stability reduction are solved.

The invention discloses a function management method, system, equipment and medium, and relates to the technical field of servers, based on cooperative work of a controller and a logic device, the controller is responsible for reading and submitting corresponding encryption license information and further sending the information to the logic device, the logic device is responsible for verifying the authenticity of the encryption license information, and the function management efficiency is improved. The security is ensured through decryption at the hardware level, the corresponding license level is analyzed on the premise of ensuring the security, and the corresponding service function is dynamically started according to the license level. Through the combination of software and hardware, the security of license verification is remarkably improved, the reliability and stability of a server system are improved, and the method is suitable for various complex application scenes.