94 results about "Memory leak" patented technology

The invention discloses a method for detecting linux kernel memory leak. The method comprises the following steps: acquiring a use index of a system kernel memory through a monitoring program; determining whether memory leak occurs or not according to the use index; and in response to determining that the memory leak occurs, starting an eBPF detection program to monitor memory allocation and release activities in the kernel, and analyzing the memory allocation and release activities to generate a memory leak report to locate the memory leak. According to the method, the system kernel memory is monitored by depending on the system information, the use index of the system kernel memory is acquired through the monitoring program, and whether memory leakage occurs or not is judged according to the use index, so that the use condition of the kernel memory can be monitored in real time with very small system overhead, and the system reliability is improved. And detecting whether the kernel memory leak occurs or not.

The invention discloses a page assembly type development method and device based on Vue.js and a medium. The method comprises the steps that a page is split into a plurality of independent function components, and each component is packaged into a Vue single file component; defining a corresponding standardized configuration file, analyzing the standardized configuration file, and obtaining a declarative definition of the component; the standardized configuration file comprises a unique identifier, a component name, a component path and an initialization method of the Vue component; in response to the page routing request, calling a dynamic loading function to load a corresponding Vue component, and executing an initialization method of the Vue component; and establishing a mapping relationship between the routing path and the component instance, storing the operation parameters in a cache system, and rendering a page through a keep-alive component of the Vue in combination with the cache system. By means of the method, repeated coding work is reduced, the resource size is reduced, the memory leakage risk is avoided, and the page response speed is increased.

The invention discloses a method and a system for protecting privacy of source codes in memory error detection, belongs to the technical field of computer software security, and particularly relates to a technology for protecting confidentiality of the source codes in a third-party memory error analysis process of software. According to the method, a debugging information minimization processing system DIREDUCER is constructed, a selective deletion and type minimization technology is utilized, on the premise that complete source codes are not exposed, necessary debugging information used for memory error detection is effectively reserved, and dual guarantee of source code privacy and memory error detection effects is achieved. According to the method, the debugging information in the non-stripping binary file is compressed to be within 10% of the original volume, and the recognition capability of an analysis tool on the problems such as memory leak, buffer overflow and overhanging pointers is not remarkably reduced. Experimental results show that the method has good adaptability and expandability in actual deployment, is suitable for various debugging tools and binary analysis frameworks, and has wide application prospects and practical values.

The invention discloses an automatic AI memory leak intelligent positioning and root cause traceability analysis system, and relates to the technical field of memory leak intelligent positioning and root cause traceability analysis. The automatic AI memory leak intelligent positioning and root cause traceability analysis method includes the following steps: S1, data acquisition: performing index acquisition through a multi-dimensional data acquisition unit, and supporting physical memory and virtual memory utilization rate, heap and stack memory allocation and log release, object creation, track destruction and thread execution state index acquisition; according to the automatic AI memory leak intelligent positioning and root cause tracing analysis system, the leak position is positioned, the root cause can be analyzed from dimensions such as code defects, improper configuration and resource competition, the leak recurrence rate is reduced, normal memory fluctuation and a real leak mode are effectively distinguished through sliding window time sequence analysis, exception screening and feature engineering optimization, and the reliability of the system is improved. False alarms are reduced, and the accuracy of abnormal event identification is improved.

This invention discloses an automatic browser memory leak location system, method, and medium based on the MCP protocol, belonging to the field of software testing technology. The system includes an MCP communication module, an automated testing module, a heap snapshot acquisition module, an incremental analysis module, a reference chain analysis module, a SourceMap location module, an intelligent repair module, and an IDE visualization module. This invention establishes a standardized connection between the IDE and the browser debugging port through the MCP protocol, achieving fully automated control; it employs a multi-dimensional fingerprint algorithm based on constructed stack frames and attribute structures to solve the problem of cross-snapshot object matching; it utilizes the dominator tree algorithm to compress the reference chain and combines it with the SourceMap index to achieve source code-level location and AI repair suggestion generation. This invention significantly improves the efficiency and accuracy of memory leak location, solving the problems of fragmented debugging links and the inability to accurately map source code.

The embodiment of the invention provides an electric energy meter memory leakage protection method and system and a medium, and the method comprises the steps: starting an electric energy meter, recording a memory position and memory information, and carrying out the distribution and monitoring of a memory based on the memory position and the memory information; obtaining read-write operation information of the memory based on the memory allocation information and the monitoring information, and tracking the read-write operation information of the memory based on a code insertion technology; performing suspected memory leak marking based on the memory use state information, and judging whether the memory meets a recovery condition or not based on the suspected memory leak marking; if the recovery condition is met, judging the suspected memory leak mark as a leak memory, and automatically releasing the leak memory; if the recovery condition is not met, continuing to monitor the memory allocation information; according to the method, the memory leak problem is automatically monitored, early warned and processed in the program running process, the stability and reliability of the program and the memory use efficiency are greatly improved, and the adverse effects of system faults, performance reduction and the like caused by memory leak are reduced.

The invention discloses a sound wave vibration detection method for server memory leakage and a program product, and relates to the technical field of memory leakage detection, and the method comprises the steps: collecting at least one sound wave vibration signal generated in the operation process of a target server, and constructing a frequency domain energy density distribution matrix, so as to calculate a frequency spectrum change rate characteristic value of the target server; obtaining current memory state information of the target server to construct a memory state vector of the target server; and splicing the frequency spectrum change rate characteristic value and the memory state vector to generate a multi-modal fusion characteristic vector, and inputting the multi-modal fusion characteristic vector into a pre-trained neural network model to output a probability value of a memory leak event existing in the target server and a corresponding position, thereby solving the problems that a traditional memory leak detection method is difficult to accurately position a leak source, and the detection accuracy is high. The technical problem that the workload of the operation and maintenance personnel is increased due to the fact that the memory leak event of the server can be comprehensively identified, and the position of the memory leak event can be accurately positioned can be solved.

The invention discloses a data processing method, a data processing device, a computer readable storage medium, electronic equipment and a computer program product, and the method comprises the steps: obtaining memory usage data and event response data of a target application, and determining the correlation degree of an interaction event and memory leak according to the memory usage data and the event response data, and positioning an interaction event causing the memory leak. Thus, a developer can check the function point corresponding to the interaction event based on the positioned interaction event so as to check whether the function point can cause memory leakage, and compared with a mode that the developer checks all the function points one by one, assistance can be provided for the check work of the developer, so that the check efficiency is improved.

The invention discloses a data distribution method and device and a vehicle, and relates to the technical field of vehicle-mounted electronic system data communication, and the method comprises the steps: carrying out the statistics of application pages subscribing to CAN data, determining a data subscription dynamic list, and enabling the data subscription dynamic list to comprise a corresponding relation between a CAN message ID and the CAN data; monitoring the page state of the application page in real time, and determining a first CAN message ID required by the application page; determining first CAN data corresponding to the first CAN message ID in a data subscription dynamic list according to the corresponding relation; and distributing the first CAN data to the application page through the weak reference holding the application page, thereby avoiding resource waste and memory leakage, and improving the vehicle-mounted information machine fluency.

The invention provides a webpage view control method and device, electronic equipment and a storage medium, and relates to the technical field of computers. The method comprises the following steps: in response to an exit instruction of a webpage view, removing a sub-view in a root view to which the webpage view belongs; obtaining an access permission of a target private field in a class corresponding to the webpage view through a reflection mechanism; under the condition that the access permission is obtained, modifying a parameter value of the target private field into a preset value so as to release a reference relationship of the webpage view; and controlling the webpage view to exit. According to the method, the problem of memory leakage after the webpage view is closed can be solved.

The embodiments of the present application disclose a method, device, storage medium, and electronic device for locating memory leaks, which relate to the field of storage control. When it is detected that a memory leak occurs in an embedded device, the present application determines the type of the memory leak, and then traverses the memory information of each memory block in the memory to locate the target memory block according to the memory size and memory application function in the memory information, so that the user can exclude code faults from the memory data in the target memory block. Compared with manually checking and locating memory spaces one by one, the efficiency and speed of locating memory blocks can be improved, so as to quickly diagnose code faults.

The application discloses a Linux-based dynamic USB device optimization method, aiming to solve the dimming failure and recognition problem of USB devices during use. Through the hot plug callback mechanism of libusb, the method monitors the insertion and removal events of USB devices in real time, ensuring efficient management of the devices. First, the system records USB device information during initialization and registers the callback function of the hot plug event. When the device is inserted, the program attempts to open the device and declare the interface. If a dimming failure is found, the device is automatically reset to restore normal function. When the device is removed, resources are released to prevent memory leakage. The method is suitable for various USB devices, especially display devices, significantly improving the efficiency of device management and user experience. Through the application, users can more conveniently manage USB devices while ensuring the stability and reliability of display dimming functions.

The invention discloses a memory leak processing method and device, electronic equipment and a storage medium, and the method comprises the steps: obtaining vehicle state information under the condition that the memory occupation amount exceeds a preset early warning threshold value when the memory leak of a vehicle machine system is determined; the vehicle state information comprises an interaction state of the vehicle machine system and a vehicle driving state; judging whether the interaction state of the vehicle machine system meets a first preset restart condition or not and whether the vehicle driving state meets a second preset restart condition or not; if it is determined that the interaction state of the vehicle machine system does not meet the first preset restart condition and / or the vehicle driving state does not meet the second preset restart condition, the vehicle machine system is controlled not to execute the restart instruction; if it is determined that the interaction state of the in-vehicle entertainment system meets the first preset restart condition and the vehicle driving state meets the second preset restart condition, the in-vehicle entertainment system is controlled to execute a restart instruction. Restarting or black screen triggering in a vehicle driving scene or a vehicle machine system man-machine interaction scene is avoided, the safety of vehicle driving is improved, and the vehicle using experience of a user is improved.

The invention provides a memory management method and device, a storage medium and computer equipment, and aims to realize object granularity memory allocation and release by maintaining fine-grained and shareable access memory management metadata on a separated memory and allowing an application client to directly and concurrently access the metadata. The problem of memory occupation expansion in the existing memory management technology is solved. Moreover, the leakability and accessibility of the distributed object are actively maintained in the memory management process, so that the overhead of traversing an object graph like a garbage collection mechanism is prevented from being introduced in the memory leak recovery process.

The embodiment of the invention provides an application monitoring method and device, equipment, a storage medium and a program product, and relates to the field of big data. The method comprises the following steps: in response to a captured memory exception event when a to-be-monitored application runs, acquiring memory stack information corresponding to the memory exception event; wherein the memory exception event comprises at least one of a memory leak event, a memory depletion event and an exceptional memory allocation event; the memory stack information, the crash event data and the operation behavior data are subjected to association analysis, an association analysis result is obtained, and the association analysis result comprises associated transaction identifiers and corresponding memory stack information within a preset duration before the crash triggering time; and according to the correlation analysis result, identifying an abnormal reason of the to-be-monitored application. According to the method, the abnormal problem identification accuracy of the application can be effectively improved.

The invention discloses an inter-thread communication method and device, electronic equipment and a program product, and relates to the technical field of computer software. The method comprises the following steps: receiving a subscription request of a message subscriber; receiving a message of a message sender, wherein the message comprises a synchronous message and an asynchronous message; determining a message subscriber matched with the message according to the identification information in the message; wherein for the asynchronous message, the intelligent pointer pointing to the memory of the asynchronous message is distributed to the message queue corresponding to the matched message subscriber; and for the synchronous message, directly calling a message processing function of the matched message subscriber. According to the method, a message sender does not need to specify a receiver, and the coupling problem of traditional thread communication is effectively solved; unnecessary thread blocking can be avoided through differential processing of the synchronous and asynchronous messages, the memory of the asynchronous messages is managed in combination with the intelligent pointer, the risks of memory leakage and system abnormity are solved, cross-language communication is supported, and the flexibility, reliability and efficiency of communication between the threads are remarkably improved.

The invention belongs to the field of kernel vulnerability analysis of operating systems, and particularly relates to a kernel memory vulnerability cause diagnosis method based on causal chain analysis. The method comprises the steps of restoring a data dependency graph and a function call tree in a vulnerability triggering process from instruction-level tracking data in the vulnerability triggering process, and restoring a kernel execution state and kernel behavior semantics in combination with function modeling; analyzing the kernel execution state, and identifying an abnormal execution behavior in the kernel memory vulnerability in combination with the abnormal model of the kernel memory vulnerability; based on causal chain analysis of dynamic programming, causes of vulnerabilities are analyzed and obtained in a series of kernel execution abnormal behaviors. According to the method, the kernel execution state and behavior semantics are restored, the kernel abnormal behavior state is identified, and the causal chain of the abnormal behavior is analyzed, so that the cause of the kernel memory vulnerability can be effectively diagnosed, and the subsequent vulnerability repair work is promoted.

Embodiments of the present application disclose a memory leakage detection method, related device and equipment, which are used for improving the detection accuracy. The method of the embodiments of the present application comprises: obtaining an object mapping list for a target business module, the target business module indicating a target business type of an application to be detected, the object mapping list being stored in a database and comprising a mapping relationship between an interface identifier and a number of operable objects, the interface identifier being used for uniquely identifying an interface of the target business module. In response to an exit operation for the application to be detected, first operable object data actually corresponding to M interfaces is obtained, the M interfaces comprising interfaces in a running state in the target business module before the application to be detected exits, and M being a positive integer. According to the object mapping list, second operable object data preset for the M interfaces is obtained. In a case where the first operable object data is greater than the second operable object data, it is determined that the target business module has a memory leakage.

The application discloses a message transmission method and device, equipment and a computer readable storage medium. The method comprises the following steps: receiving a first encrypted broadcast message sent by a first message publisher to a first message channel; determining at least one message subscriber corresponding to the first message publisher; monitoring the state of the at least one message subscriber; in the case that the state of a target message subscriber is an active state, sending a first notification message to the target message subscriber to instruct the target message subscriber to acquire and decrypt the first encrypted broadcast message from the first message channel to obtain a first broadcast message; and in the case that all the message subscribers in the active state among the at least one message subscriber have acquired the first broadcast message, deleting the first encrypted broadcast message. According to the embodiment of the application, resource waste and memory leakage can be avoided, and the efficiency, stability and security of information transmission are improved.

The invention relates to the technical field of computer programming, in particular to a priority-based pop-up window management method and system, electronic equipment and a medium. The method comprises the following steps: importing related classes; constructing a suspended function as a corresponding popup task for the popup, and instantiating the asynchronous result container as a decision result container corresponding to the popup task; acquiring the priority of the pop-up window task, and adding the pop-up window task into a pop-up window task queue based on the priority of the pop-up window task through a queuing method of a pop-up window queue manager; starting a coroutine in the coroutine action range, executing the pop-up window tasks in the pop-up window task queue according to the sequence, executing the pop-up window tasks, and obtaining a result value in a corresponding decision result container; if the result value is the preset value, executing the next pop-up window task in the pop-up window task queue in sequence; and if the result value is not the preset value, stopping executing all follow-up window popup tasks. According to the method, interface conflicts and memory leakage risks can be avoided, and the maintainability and reusability of codes are improved.

Embodiments of the invention provide a memory leak detection method and apparatus, and a computing device. The method comprises the steps of obtaining a to-be-tested code; taking the to-be-tested code as the input of the first neural network model, and generating a parameterized test script of the to-be-tested code by using the first neural network model; operating the parameterized test script; in the process of executing the parameterized test script, monitoring runtime data of the to-be-tested code; under the condition that the memory leaks, determining the position of a code causing the memory to leak in the to-be-tested code according to the runtime data; generating a leakage detection report; the leak detection report includes a code location and a test execution path. By adopting the method, the leak behavior of the to-be-tested code is verified by dynamically executing the parameterized test script, and the memory leak point is specifically positioned, so that the accuracy and comprehensiveness of detection can be effectively improved.

The invention provides a network page memory management method, a network page memory management device and electronic equipment, relates to the technical field of computers, can comprehensively know the running state of a server by collecting multi-dimensional running data in the server, and provides a rich and accurate data basis for subsequent memory performance prediction and health degree evaluation. Feature extraction and analysis are carried out on the operation data to obtain a network page memory performance prediction value, and possible problems such as memory insufficiency and memory leakage of the memory can be predicted in advance, so that corresponding processing is carried out on the server memory according to different memory health degree related data, memory use can be effectively optimized, and the service life of the server is prolonged. And the performance and the stability of the server are improved.

The invention discloses a memory optimization system and method based on dynamic memory allocation and garbage collection, and the system comprises a memory monitoring module which is used for monitoring the use condition of a memory in real time; the dynamic allocation module is used for dynamically adjusting a memory allocation strategy according to the memory demand of the application program; the garbage recycling module is used for recycling useless memory by adopting a fractional garbage recycling algorithm; the memory compression module is used for regularly merging free memory blocks; the performance optimization module is used for dynamically adjusting the garbage collection frequency and the memory allocation strategy according to the system load; through dynamic allocation and memory compression, memory fragmentation is reduced, and the memory utilization rate is increased; through an efficient garbage recycling mechanism, the influence of garbage recycling on system performance is reduced; through an intelligent memory management strategy, the problems of memory leakage and memory insufficiency are avoided.

The invention provides a video page rendering method and device, computer equipment and a storage medium. The method comprises the following steps: acquiring a viewport position and a current action of a user in a process that the user browses a page, and dynamically requesting image resources according to an acquisition result; according to the action of the user on the video content, three-level cache processing is carried out, and the cache used by the browser is reasonably distributed; furthermore, the hardware and software configuration of the equipment is detected, for the equipment with lower configuration, the image to be rendered is split into a plurality of smaller image blocks and then is distributed to a plurality of WebGL contexts for asynchronous rendering in the background, and the main thread is not blocked while the rendering performance is greatly optimized. In addition, the WebGL textures are managed by adopting a strong reference mechanism and a weak reference mechanism, so that a large number of unused WebGL textures can be effectively prevented from being accumulated in the background, thereby avoiding memory leakage and excessive memory occupation, and ensuring stability and high efficiency when the user browses the video page for a long time.

The invention discloses a three-dimensional model memory management method and a related device, relates to the field of data storage, and aims to remove each sub-object displayed in a three-dimensional model scene by responding to a rendering end signal of a three-dimensional model in a current webpage. And then traversing the resource reference tree of each sub-object, determining a used resource of each sub-object, and executing a resource release operation on each used resource to eliminate memory occupation of each used resource in the graphics processor. And according to the corresponding relationship between the three-dimensional model scene and the auxiliary rendering object, releasing the reference relationship between the three-dimensional model scene and the auxiliary rendering object. And finally, screening out a debugging log related to the sub-object from the operation log of the console, and deleting the debugging log. According to the method, a complete resource release process from scene objects, memory resources, reference relations and debugging logs is realized, model resources are cleaned in time when object reference is not needed any more, the memory leakage risk is effectively reduced, and the browser is prevented from being stuck or crashed.

The application relates to an artificial intelligence-based full-stack application systematic optimization method, which comprises the following steps: realizing full-link data collection through an intelligent probe; data preprocessing; inputting the preprocessed data into a professional model system, identifying memory leakage risks, correlatively analyzing hardware indexes and application performance indexes, and locating root cause problems; generating a dynamic optimization strategy, generating optimization parameters, and injecting the target system; establishing a standardized feedback data collection mechanism, collecting key performance indexes every predetermined time, and evaluating the optimization result by comparing the key performance index fluctuation before and after optimization. The application can realize intelligentization, dynamicization and cross-level collaborative optimization of system performance.

Disclosed in the present invention are a microservice memory leak monitoring method, system and apparatus, and a storage medium. The method comprises: starting a memory leak monitoring program of a microservice, and loading a first tracepoint probe and a second tracepoint probe, the first tracepoint probe and the second tracepoint probe being set by means of an eBPF program; processing the first tracepoint probe and the second tracepoint probe by means of a map mechanism, so as to obtain an event list, the event list being used for storing process IDs, and memory allocation and memory release events; according to a first process ID of a microservice to be monitored, retrieving from the event list growth data of released memory corresponding to the first process ID; and acquiring memory growth data of said microservice, and, according to a difference value between the memory growth data and the growth data of released memory, determining whether there is a memory leak in said microservice. The embodiments of the present application helps to improve the resource utilization rate of clusters and improve the safety performance of systems, and can be widely applied to the technical field of cloud computing.

This invention discloses an autonomous evolutionary AGI system and method based on dual-model decoupling and human feedback, belonging to the field of artificial intelligence technology. The system includes modules for online inference (Model A), offline training (Model B), human feedback rewards, persistent storage, training scheduling, model hot replacement, distributed communication, and a secure sandbox. This invention decouples inference and training to ensure service continuity; anchors value direction with human ratings to avoid drift; employs dual-condition triggering training to improve resource efficiency; achieves seamless updates through hot replacement; avoids memory leaks through database persistence; enables multi-machine expansion through distributed architecture; and ensures execution security through a sandbox. This invention enables 24 / 7 online, controllable, and secure autonomous evolution of AGI, suitable for code generation, intelligent agents, automated R&D, and general artificial intelligence scenarios.

A technique dynamically configures a memory bank in a slumber state that maintains power to an array of bit cells but powers down periphery logic of the memory bank to reduce power consumption by an integrated circuit system in an active mode of operation. The memory bank includes periphery logic and an array of storage elements that are configured to receive power from different power domains and powers down the periphery circuits when the access frequency for the memory bank is below a predetermined access frequency. Slumber control logic determines whether the memory bank has been accessed in a previous interval defined by a predetermined number of clock cycles. If the memory bank has not been accessed in the previous interval, then the slumber control logic configures the memory bank in the slumber state.

The embodiment of the invention provides a vehicle-mounted application memory occupation detection method and device, computer equipment and a storage medium. The method comprises the steps that a to-be-detected vehicle-mounted application is split into a plurality of assemblies; for each component, recording a test script of the current component by using a preset script recording tool; based on a preset memory analysis tool and a memory index script, performing pressure test on the current component according to the test script of the current component; and based on a preset memory occupation sample and a memory occupation standard, determining whether the memory occupation of the to-be-detected vehicle-mounted application is abnormal according to the memory snapshot file and the memory index obtained by the pressure test, and detecting whether the memory occupation of the to-be-detected vehicle-mounted application meets the standard of the vehicle-mounted equipment in the high-frequency and high-strength long-time use process of the vehicle-mounted application. Whether abnormal conditions of memory leak and memory jitter exist or not is judged, and it is ensured that the vehicle-mounted application is kept in a running state in a complex environment or is paused and recovered at a proper time so as to meet user requirements.