3727 results about "Operational system" patented technology

The invention discloses a solid state disk management system and a data processing method, and relates to the technical field of solid state disk management. Flexible task scheduling and resource management are provided through a lightweight operating system module, and a computing task program defined by a user is supported to be dynamically loaded; edge computing or machine learning operators are efficiently executed in combination with a programmable hardware processing unit and a DMA channel of the computing acceleration engine module, the data preloading module is utilized to predict and preload data to DDR based on LBA access history, access delay is reduced, an NVMe protocol is expanded by means of the task unloading interface module, host task issuing and result returning are achieved, and the data processing efficiency is improved. And hardware-level memory protection is ensured through the security isolation module, so that the data calculation processing capacity of the solid state disk is remarkably improved, localized calculation tasks such as edge calculation and machine learning are supported, mass data transmission is effectively reduced, and bus and network loads are relieved.

The invention relates to the technical field of industrial operation, and discloses a multi-interface industrial control device based on an OpenHarmony industrial operating system and a control method thereof, and the method comprises the steps: scanning an interface resource list of an industrial control computer after the OpenHarmony industrial operating system is started; industrial equipment connected to each interface is automatically found according to the interface resource list, and an equipment connection table is obtained; performing protocol conversion based on the device connection table to obtain a device communication data stream, and extracting a feature data set from the device communication data stream; and calculating an interface coordination scheme based on the feature data set, issuing a control instruction to each industrial device, and collecting execution feedback to obtain unified management and control data. Unified control and remote cooperation of the industrial control equipment are realized through the OpenHarmony distributed soft bus, the conflict problem during multi-protocol concurrent access is effectively solved, and local intelligent decision and cloud resource scheduling of the industrial operation system are realized.

The invention discloses a large-model context control system and method based on hierarchical memory and an association graph, and the method comprises the steps: constructing a tree graph mixed memory structure and a logic hierarchical memory model for a context control unit between a user and an LLM, and carrying out the self-adaptive processing of a super-long context through a self-adaptive processing engine, a single-theme persistent dialogue control mechanism, and the like. According to the method, the problem that an LLM context window is limited (including introduction of a mechanism similar to an Agent) is solved, just like an operating system helps developers / users to solve the problems that hardware standards hidden behind are not uniform, and complex resource control is caused, a reliable LLM memory (context) control service with multiple details hidden is provided for upper developers, and the method has the advantages of being high in practicability and easy to popularize and use. The final objective of the method is to approximately relieve the limitation of an LLM context window through a set of self-consistent system mechanism, so that a developer does not need to pay too much attention to the details of a bottom layer, and more energy can be focused on the implementation of an application function.

The invention discloses an intelligent resource scheduling method and system based on task characteristics and system state perception, and relates to an operating system kernel optimization technology. According to the method, resource demand types, importance labels and time sensitivity of tasks are captured in real time through an eBPF technology, system bottlenecks are recognized by combining / proc and sysfs file system data, a dynamic scheduling strategy is generated by adopting an improved Q-Learning model, and resource allocation is executed through a schemed * function and a cgroup v2 interface. The problems that a traditional scheduler is poor in self-adaptive capacity and resources are mismatched are solved, the actually-measured resource utilization rate is increased to 85%-92%, and the key task delay standard reaching rate gt is achieved; the method is suitable for edge computing, cloud servers and other high-concurrency scenes.

The invention provides an automatic vulnerability identification and repair method for an intelligent universal domestic operating system, and belongs to the field of operating system security technology and artificial intelligence. EBPF (extended Burkley data packet filter), TEE (trusted execution environment) and bidirectional GNN-lite (simplified graph neural network) technologies are utilized to automatically identify and repair vulnerabilities of the operating system; an efficient, AI intelligent and safe vulnerability real-time identification and dynamic repair system is constructed, a closed loop of real-time monitoring, credible analysis, automatic patching and effect evaluation is established, and kernel defects are efficiently repaired on the premise of not interrupting services.

The invention belongs to the technical field of computer software, and particularly relates to a heterogeneous database unified deployment management method based on a cluster management platform, which comprises the following steps: predefining metadata of various database services; the method comprises the following steps: pre-constructing a multi-version program package warehouse, and establishing a structured warehouse directory system; obtaining a chip architecture and an operating system type of the target node, and generating environment fingerprint information; dynamically selecting a database installation package matched with the current environment and a dependency item set of the database installation package by mapping a warehouse directory system; through a unified database adaptation layer, a standardized operation interface is called, and installation, configuration and start-stop operation of the database are executed; a visual deployment and arrangement function based on component roles is provided by expanding a Web service interface of the management platform; and according to a deployment arrangement result and the environment fingerprint information, calling a deployment script to complete automatic deployment and configuration of the database cluster. According to the invention, unified adaptation, deployment and full-life-cycle management of various domestic databases are realized.

The invention relates to the technical field of intelligent facility management, and discloses an intelligent facility management control system based on the 5G Internet of Things, which comprises a facility data acquisition module, a configuration module, a real-time monitoring module, an instruction matching module and an execution module. The facility data acquisition module acquires data through a 5G terminal, and generates an operation characteristic value and a dynamic adjustment threshold parameter; the facility configuration module generates personalized parameters and dynamic adaptation strategies according to the characteristic values; the real-time monitoring module obtains and screens real-time state data; the instruction matching module compares the data to generate a correlation degree, and selects a target instruction; the instruction execution module drives facility operation. The system is further provided with a threshold value self-optimization module, and threshold value parameters are optimized through feedback data. According to the system, real-time monitoring, dynamic parameter adjustment, precise instruction matching and self-optimization are realized, and the intelligence, precision and self-adaptive capability of facility management are improved.

The invention discloses a server starting control method and electronic equipment, relates to the technical field of computers, is applied to a universal boot loader, and comprises the following steps: obtaining a signature verification public key through an input interface; verifying and decrypting the signed mirror image header of the kernel mirror image by using the signature verification public key so as to recover the original mirror image header of the kernel mirror image; extracting a reference metric value of the kernel mirror image from the head of the original mirror image; calculating a to-be-verified metric value based on the kernel mirror image of which the head of the original mirror image is recovered, and comparing whether the to-be-verified metric value is consistent with the reference metric value or not; and if yes, loading the operating system. On the basis of not modifying the design of the server mainboard, active, complete and efficient trusted measurement of the BMC starting process is realized.

The invention provides a computing power center resource centralized self-adaptive control scheduling system and method, and the method comprises the steps: S1, a user submits a computing power training task through an API, and sends the task to a DAG task composer, and forms a task list to be scheduled; s2, the intelligent monitoring analysis module is used for continuously collecting node data and calculating real-time CS and HS scores of each node; s3, analyzing the dependency relationship type data by a task composer, and calling a dynamic programming algorithm in an adaptive scheduler to make a decision; s4, the adaptive scheduler performs dynamic task distribution according to the task list of the DAG task orchestrator and the intelligent monitoring analysis module, and S5, the distributed runtime and environment management module is used for uploading the prepared Docker mirror image to the distributed storage; and S6, through the unified communication adaptation layer, the mirror image is pulled from the distributed storage on the target node and the container is started, the user does not need to concern the difference of the operating system in the whole process, and efficient and intelligent adaptive scheduling is realized.

The invention relates to the technical field of data processing, and provides a BMC fault recording method and device, computer equipment and a storage medium, and the method comprises the steps: responding to a kernel fault of a target operating system of a target BMC, and printing fault log information; obtaining a pre-configured memory technology device partition; transmitting the fault log information to an annular fault cache region to form cache log data; storing the cached log data in a memory technical equipment partition, and generating a fault log file; and in response to a user reading instruction, reading and outputting the fault log file of the memory technical equipment partition. According to the technical scheme provided by one or more embodiments of the invention, the fault log can be effectively recorded, maintenance personnel can timely and accurately know the fault position and the fault reason, and BMC fault diagnosis and repair can be efficiently completed.

The disclosed techniques provide improved methods of operating system (OS) search. Users are enabled to search for documents, emails, presentations, content they entered into a web form, meetings they participated in, and other interactions they had with their computing device. To accomplish this, screenshots are periodically captured and indexed. Machine learning models are used to infer embeddings for visual elements of the screenshots and / or text extracted from the screenshots. A full text index of a relational database may also be populated with text extracted from the screenshots. The embeddings and full text index may then be used to retrieve screenshots in response to a user history query. For example, screenshots of embeddings within a defined distance of an embedding of the user history query may be selected. Query results from different embedding indices and relational databases may be ordered by applying different weights to different kinds of search scores.

The invention provides a cue word generation method, computer equipment and a computer program, and the method comprises the steps: obtaining first reply information which is generated by a target model, is used for output and corresponds to first question information, carrying out the blocking processing of the first reply information, and carrying out the caching of a plurality of pieces of first segment information; in response to second question information which is input by the user and belongs to the same dialogue scene with the first question information, retrieving target fragment information associated with the second question information in the multiple pieces of first fragment information, and based on the second question information and the target fragment information, according to a cue word template used for guiding a target model; and creating a cue word corresponding to the second question information to assist the target model in understanding target fragment information required by the context of the dialogue scene so as to generate second reply information. The processing process can be realized by a computer program based on artificial intelligence, namely an intelligent agent, and the intelligent agent can be embedded into an application degree or an operating system such as a browser or an application store to provide an intelligent function in a dialogue form.

The invention discloses a concurrency control method and device, electronic equipment, a storage medium and a product. The method is applied to a concurrency control system comprising a processor and a bus controller, and comprises the steps that the processor responds to an atomic operation request of a target thread and sequentially sends a storage area switching instruction and a register operation instruction to the bus controller; the bus controller responds to the storage area switching instruction and the register operation instruction, executes storage area switching operation, generates a bus occupation maintaining signal and continuously executes register read-write operation in a target storage area; the processor sends a scheduling request to an operating system, so that the operating system improves the priority of the target thread to be a first priority; and the bus controller generates a bus release signal after the atomic operation of the target thread is finished. According to the scheme, through cooperation of the processor and the bus controller, atomized execution of thread Bank switching and register reading and writing is achieved, and the concurrency performance is improved while the reliability and consistency of data are ensured.

The invention belongs to the technical field of software management, and particularly relates to a cross-platform repair method and system based on a large language model.The method comprises the steps that a cross-platform package manager interface is used for conducting static analysis on a dependency list of a target software project, a cross-platform dependency tree is obtained, and the target software project is repaired based on the cross-platform dependency tree; respectively injecting lightweight monitoring probes into at least two operating system platforms, and collecting dynamic tracking data of each dependency component in the dependency tree; fusing the dependency tree and the dynamic tracking data, and establishing a cross-platform security map comprising a dependency calling edge, a version conflict edge and a platform vulnerability association edge; according to the method, the lightweight monitoring probe is injected into the multi-operating system platform, the loading sequence, the function call sequence and the memory layout difference of the dependent components are dynamically collected, and the cross-platform security map is constructed in combination with the static dependency tree, so that the specific potential safety hazard of the platform can be accurately identified, and the comprehensiveness and the accuracy of cross-platform risk perception are remarkably improved.

The invention provides an automatic test generation platform and method for an operating system kernel derived function. The method comprises the following steps: (1) intelligent symbol extraction and analysis; (2) generating an LLM-driven test code; (3) performing automatic compiling and virtualization testing; and (4) intelligent error diagnosis and repair. According to the method, the test coverage degree is greatly improved, through the multi-level symbol context extraction technology, single function information is extracted, the dependency relationship of related functions in the same element is analyzed, a function call graph and data flow analysis are constructed, rich context information is provided for LLM, and the problem that traditional manual test case writing is incomplete in coverage is solved.

The invention relates to a system starting method and device based on a UKEY, equipment and a storage medium, and the method comprises the steps: verifying the operation environment of the UKEY when it is detected that the UKEY is triggered to be powered on and started; if the running environment of the UKEY passes the verification, performing multiple rounds of verification on a firmware program in the UKEY; and if the firmware program passes multiple rounds of verification, controlling the UKEY to enter an operation mode so as to enable a user to enter an operation system. Through the method, after the running environment of the UKEY passes the verification, the firmware program in the UKEY is subjected to multiple rounds of verification, an unauthorized user is prevented from entering a system through the UKEY by using a tampered, forged or implanted malicious program, if the firmware program passes the multiple rounds of verification, the UKEY enters the running mode, the user can enter an operating system or use an application program, and the user experience is improved. The safe starting of the operating system or the application program is realized, and the running safety of the operating system or the application program is improved.

Systems and methods for distribution and management of certificates in a firmware framework. In some embodiments, an Information Handling System (IHS) may include a controller, where the controller includes firmware that, upon execution by a processing core, causes the processing core to instantiate an orchestrator; and a plurality of devices coupled to the controller, where each device includes firmware that, upon execution by a corresponding processing core, causes the corresponding processing core to instantiate a node of a plurality of nodes of a firmware framework; and where the orchestrator is configured to: store certificates in a local storage of the controller; and distribute one or more other certificates to one or more of the plurality of nodes within the firmware framework, without any involvement by any Operating System (OS) of the IHS.

The invention belongs to the technical field of network environment diagnosis, and particularly relates to an eBPF network performance monitoring and diagnosing method based on a SW platform. Comprising the following steps: analyzing a network performance monitoring demand of the SW platform to determine a performance index and a diagnosis target of a network monitoring tool; by developing an eBPF tool based on an SW operating system kernel, related data in a network transmission process are captured in real time, and the related data are displayed and stored; performing deep analysis and anomaly detection on the network performance monitoring data by combining the characteristics of the SW platform so as to generate a data analysis result; and checking and positioning potential network problems according to the data analysis result. The invention aims to solve the problem of network performance monitoring under the SW platform, provides a method for capturing and analyzing the network abnormity in real time, and improves the network monitoring performance and the abnormity diagnosis efficiency under the SW platform.

The invention belongs to the technical field of computer software, and particularly relates to a data lake and warehouse management deployment method applied to a domestic operating system, which comprises the following steps: establishing a heterogeneous server cluster, deploying various domestic operating systems in the server cluster, and completing configuration of a network architecture and a basic software environment; the method comprises the following steps: carrying out localization adaptation on a software component source code, synchronously modifying package management logic of a self-research data lake and warehouse management platform, and further implementing intelligent compiling to generate a program package for different instruction set architecture and domestic operating system combination; automatically generating and executing a deployment script by utilizing a self-developed data lake and warehouse management platform to complete installation and configuration of each software component on a target node; and after deployment of each software component is completed, systematic deep tuning and component-level accurate tuning are automatically performed on the deployed system and each software component, and automatic verification is executed. The invention provides an efficient, stable, safe and controllable data lake and warehouse integrated solution for users, wherein the data lake and warehouse integrated solution can be used immediately after being opened.

The invention provides a two-ticket management and anti-misoperation system and method, the system realizes collaboration through bidirectional interaction of a functional layer and a data layer, a two-ticket generation module obtains user input data from the data layer to automatically generate an operation ticket and / or a work ticket and returns and stores the operation ticket and / or the work ticket, manual filling and paper recording are replaced, and the efficiency is improved. The problems of low ticket generation efficiency and difficult query in the prior art are solved. The anti-misoperation module obtains equipment operation data from the data layer, matches the equipment operation data with an anti-misoperation rule base, outputs anti-misoperation rules, and verifies the equipment operation data in combination with the data layer, so that missing judgment of manual supervision is avoided, and the passive problem of anti-misoperation verification is solved; and the collaboration module performs grading processing according to verification results to realize risk differentiation response. The two-ticket management and anti-misoperation system does not need to depend on a paper flow and manual intervention, tickets are efficiently generated, operation is accurately verified, risks are disposed in a graded mode, and the operation and maintenance efficiency and the safety management and control precision are improved.

The invention discloses a memory management method and related equipment, and relates to the technical field of data storage, the method comprises the following steps: based on access information of memory pages of a target operating system, determining a dynamic popularity score of each memory page; on the basis of the current memory pressure level and the dynamic popularity score of the target operating system, executing a corresponding hierarchical data migration strategy so as to migrate different memory pages to the corresponding main Swap storage space or auxiliary Swap storage space; adjusting a compression algorithm applied to the auxiliary Swap storage space based on the current central processing unit utilization rate of the target operating system; and detecting real-time states of the main Swap storage space, the auxiliary Swap storage space and the physical memory, and adjusting a hierarchical data migration strategy and a compression algorithm based on a detection result. Through dynamic popularity perception, hierarchical data migration, adaptive compression regulation and cross-layer collaborative optimization, the memory utilization rate, the exchange efficiency and the overall system stability can be improved under different system loads.

The invention discloses a trusted execution environment construction method, system, equipment and medium for electric power intelligent equipment, and relates to the technical field of electric power intelligent equipment monitoring, and the method comprises the following steps: carrying out Hash measurement on a to-be-detected area in an operating system kernel, carrying out comparison based on a preset reference value, and monitoring the consistency of kernel static data and codes; performing list management and integrity verification on the system kernel module, and identifying illegal loading, unloading or tampering behaviors; monitoring a kernel module event, sensing the change of the life cycle of the module and dynamically triggering a verification mechanism; performing Hash verification on an execution file of the specified user space process, and identifying process-level illegal replacement or injection behaviors; and updating the trusted measurement database based on a detection result, and executing log recording, alarming and blocking strategy response. The method does not depend on a chip, a virtualization platform or hardware extension, realizes security monitoring only through a software means, and is suitable for an embedded terminal with limited resources.

The invention discloses a database traffic auditing method, device and equipment and a storage medium, and relates to the field of databases, and the method comprises the following steps: deploying a target extension program in a kernel layer of an operating system, and capturing a target data packet by using a target probe in the target extension program; performing protocol analysis on the target data packet to extract target data, determining execution time of a target SQL statement based on the target data, and performing semantic analysis on the target SQL statement by using a target analyzer and a way of performing analysis based on syntax imported based on a bypass to obtain a corresponding semantic analysis result; the target data comprises a target SQL statement and target metadata; and storing the target data, the execution time and the semantic analysis result to a target log database, so as to audit the flow of the target database based on the data in the target log database by using a pre-configured target audit strategy. According to the method and the device, efficient, safe and real-time auditing of database traffic is realized.

The invention discloses an automatic fault repairing method for an operating system based on artificial intelligence, and relates to the technical field of automatic fault repairing, and the method comprises the steps: carrying out the feature analysis of system operation data through a pre-trained fault feature extraction model, generating a fault feature vector, inputting the fault feature vector into a fault classifier, and obtaining a fault feature vector; a current fault type is identified through a multi-classification algorithm, fault cause primary tracing is performed according to the fault type to obtain a fault generation factor, secondary tracing is performed on the fault generation factor to obtain a fault influence factor, positioning is performed based on the fault generation factor, and a corresponding repair strategy is matched from a knowledge base. The method comprises the following steps: acquiring historical system operation data with relevance on the basis of a fault influence factor, acquiring updated real-time system operation data after executing a repair operation to calculate a system optimization coefficient, judging a forward trend of a repair strategy according to a preset optimization threshold value, and updating the forward trend into a knowledge base to realize rapid and efficient automatic repair.

The invention provides an analysis method and device for flow, efficiency and water consumption rate of a hydraulic power plant generator set. A distributed flow measurement unit based on a domestic PLC controller and a domestic operating system is constructed, and each unit is independently configured with the flow measurement unit to realize decentralization of data acquisition and processing; active power, guide vane opening, water head difference, instantaneous flow and volute inlet pressure data are collected in real time through a distributed flow measurement unit, and a unit efficiency and water consumption rate calculation model is dynamically fitted based on the data; sending an output result of the calculation model to a monitoring system through an anti-interference communication network, wherein the communication network adopts layered wiring and a double-shielded twisted pair to reduce the signal bit error rate; and the IMC integrated management and control platform is used for remote monitoring and diagnosis of the flow measurement unit, and seamless connection with a smart power plant data medium station is realized. The system reliability and the maintenance flexibility are improved, and the autonomous controllable requirements of domestic substitution and intelligent power plants are comprehensively met.

The invention discloses an optimization method, system and device for an audio production test system and a storage medium, and relates to the technical field of audio, and the method comprises the steps: building a multi-level code scanning data return stabilization mechanism, and guaranteeing the uploading reliability of code scanning data in a production test process through a local buffer queue, network state real-time evaluation and an intelligent retry strategy; constructing a multi-version application processor AP compiling adaptation framework, and automatically loading corresponding function libraries and compiling parameters through version automatic identification, compatibility index evaluation and dynamic link library management; a cross-platform compatible work order query interface is constructed, the work order query interface is dynamically rendered through a self-adaptive layout algorithm, a compiling adaptation frame suitable for different AP versions is adopted, dynamic link library management and automatic compiling parameter configuration are combined, the universality and expansibility of a tool are greatly improved, meanwhile, a cross-platform interface self-adaptive rendering technology is adopted, and the working efficiency is improved. Therefore, the work order query tool can provide consistent user experience under multiple operating systems.

The invention discloses an operating system containerization kernel compatibility method based on shadow structure mapping, which comprises the following steps of: constructing a multi-dimensional mapping rule base by analyzing the difference of data structures between a container system and a standard system, and creating a shadow structure comprising a data area, a metadata area and an expansion area when the container system runs on a host system; the host system allocates a shadow memory space and a memory pool, establishes mapping between a shadow structure and a physical memory page and bidirectional mapping between the shadow structure and a host structure, intercepts system call of a container application, obtains a target structure and allocates a shadow structure and a host structure memory, and sends the shadow structure and the host structure memory to the host system; according to the method, conversion from the target structure to the host structure is completed according to the multi-dimensional mapping rule base, the host machine completes calling through the host structure, then the calling result is reversely converted into the target structure and returned to the container application, and seamless compatibility of the container system and the host system is achieved under the condition that a user mode program of the container system is not modified.

The invention discloses a kernel probe generation method and device, computer equipment and a storage medium, and relates to the technical field of operating system kernel monitoring, and the kernel probe generation method comprises the steps of obtaining a target metadata file corresponding to a current operating system kernel in response to a kernel probe generation request; determining a target declarative strategy file; and determining a target program logic file corresponding to the target declarative strategy file, and generating a probe code according to the target program logic file and the target metadata file to obtain a kernel probe program. The probe program source code adaptive to the current kernel version can be dynamically generated in combination with the target metadata file and the target declarative strategy file, kernel probe development logic and underlying kernel knowledge can be decoupled through the source code generation function, and developers do not need to deeply understand kernel internal data structures and version differences; the development threshold is lower, a specific operating system or probe type is supported, and a universal Linux kernel and multiple probe types are also supported.

The invention relates to the technical field of computers, and provides an automatic data acquisition and fault processing method based on a Kylin operating system, which comprises the following steps: a Kylin-Agent acquires full-dimensional observation data in real time from a monitoring component deployed in the Kylin operating system in a data direct acquisition mode; based on the full-dimension observation data, the Kylin-Agent carries out fault detection to identify an anomaly or a fault; the Kylin-Agent is combined with a Kylin exclusive knowledge base and the reasoning ability of a large language model to carry out root cause analysis on abnormity or faults so as to locate fault causes; based on a fault reason, the Kylin-Agent retrieves related solution knowledge from the Kylin exclusive knowledge base, and utilizes the related solution knowledge based on the specific type and severity of the fault; the Kylin-Agent calls a predefined self-defined tool set, carries out security verification on the specific operation instruction, and executes a fault repair scheme after the verification is passed; and the Kylin-Agent captures and feeds back an execution state and a result in real time, and generates a fault processing report based on a complete execution process.

The invention provides a fault prediction method of an operating system and a program product, which can be applied to the technical field of servers. The fault prediction method for the operating system comprises the following steps: acquiring a Bayesian network structure for the operating system; according to the current running data, determining a plurality of target events corresponding to the operating system, and determining a target association condition among the plurality of target events; according to the Bayesian network structure, determining predicted fault phenomena corresponding to the plurality of target events, and determining respective target prior probabilities of the plurality of target events and target conditional probabilities for the predicted fault phenomena; and according to the current operation data, the target prior probability and the target conditional probability, determining the probability that the operating system has a predicted fault phenomenon.