37 results about "Trace file" patented technology

The invention belongs to the technical field of artificial intelligence, and relates to a sensitive information-based file tracing method, which comprises the following steps of: performing text recognition on a to-be-traced file based on a text content recognition technology to obtain a content recognition result; performing sensitive information matching on the content identification result through a preset sensitive information identification strategy; determining that the file to be traced contains sensitive information, generating sensitive file identification information and recording user information; in response to an operation behavior of a user on the to-be-traced file, obtaining operation information, and calling an integration tool to inject the user information and the operation information into the to-be-traced file to generate file integration information; and generating a traceability chain based on the sensitive file identification information and the file integration information. The invention further provides a file traceability device and equipment based on the sensitive information and a storage medium. The method can be applied to business management program systems of financial science and technology, medical treatment and the like, the source, the circulation path and the final destination of the file can be clearly presented, and full-life-cycle management of the file is achieved.

Techniques are provided for directory snapshot and data management. Conventional snapshot functionality creates snapshots at a volume level. Volume level snapshots are inadequate for scale-out storage architectures because a single volume snapshot of a shared storage resource may not satisfy different data protection requirements of clients using the shared storage resource. The disclosed techniques are capable of creating snapshots at a directory level. The directory level snapshots are created and maintained using an inode identity map to track active inode numbers of directory files that have diverged. Snapshot generation numbers are used to determine whether a file is part of a directory for which snapshotting is enabled. A version map used to track versions of a file modified across different directory snapshots and an active file system. A delayed free metafile is used to determine whether file block numbers of a directory can be freed.

The embodiment of the invention provides a positioning method for a training stagnation problem, and a model training system, device and equipment, and relates to the technical field of computers. The method comprises the steps of obtaining a plurality of tracking files recorded in a training process of an AI model, wherein each tracking file is used for correspondingly recording a task execution condition of a processing unit at a timestamp; dividing the plurality of tracking files into at least one tracking file group according to rounds of set communication respectively executed by each communication group; and based on the at least one tracking file group, positioning the position where the training stagnation problem occurs in the training process. A method for locating a training stagnation problem occurring in a training process of an artificial intelligence model is provided. And recording the tracking file in the training process of the artificial intelligence model, determining whether a training stagnation problem occurs in the training process according to whether the data recorded in the tracking file is abnormal, and positioning the position where the training stagnation problem occurs in the training process.

Disclosed herein are system, method, and computer program product embodiments for detecting ransomware and creating ransomware incidents by way of analyzing for ransomware signals in a backup data stream on a file-by-file basis. The ransomware detection system comprises a ransomware detection engine that includes a tracking component. The tracking component may track the byte distribution and extension of a file from a backup data stream. Further, the tracking component may perform a ransomware analysis on the file and identify, using a machine learning model, that the file is encrypted by ransomware based on an anomaly score and a confidence threshold. Subsequently, the tracking component may create a ransomware incident based on the identification that the file is encrypted by ransomware. Disclosed herein are additional embodiments directed towards training and updating a machine learning model within the ransomware detection engine.

This invention provides a method and system for verifying and tracing file fingerprints for scientific instrument data, comprising: Step S1, acquiring user identity information and instrument identifier of the scientific instrument, identifying the original data file through file monitoring and automatically collecting basic metadata to generate labeled metadata; Step S2, calculating the file fingerprint based on the algorithm identifier using a digest algorithm and writing it into a fingerprint database; Step S3, performing fingerprint comparison on the file fingerprints; if the fingerprints are the same, reusing the existing content object identifier and adding a new version record; if they are different, creating a new content object identifier and adding a new version record; and when the same reservation identifier, upload time difference not exceeding a preset threshold, and fingerprint inconsistency are met, creating a version fork and recording the fork reason code and fork reason payload for traceability; Step S4, performing verification processing on the downloaded file. The beneficial effect is that this invention can meet the comprehensive requirements of traceability, auditability, and real-time performance for the security management of scientific instrument data.

The invention provides a processor core co-verification debugging method, which comprises the following steps of: in a co-simulation running process of a processor core to be tested, capturing an output verification event, performing standardized storage, and generating a trace file and an interface specification file; automatically generating an independent verification framework compatible with the to-be-tested processor core interface according to the interface specification file; and loading the trace file to drive the verification framework to run, and separating from the processor core to be tested to carry out independent debugging and iteration. According to the invention, the efficiency and reliability of large-scale processor design verification are improved, and the resource overhead is reduced.

A method and system for calibrating a simulator instance is disclosed. Specifically, the method and system disclosed herein may receive, by a workload generator, a trace file specifying operations; generate, by the workload generator, a workload based on the operations, wherein the workload includes one or more read or write requests corresponding to the operations of the workload; receive, by the simulator instance, the read or write requests from the workload generator; and process, by the simulator instance, the read or write requests based on a set of simulation parameters to generate simulation results, wherein the simulation instance is calibrated, at least in part, based on the simulation results.

The application discloses a kind of incremental semantic analysis integrated development environment systems for SystemVerilog hardware design language, comprising: workspace discovery component, for automatically identifying project list and constructing project boundary;Virtual file system component, for maintaining source path and file identification mapping and tracking file status;Incremental semantic database component, for performing local failure and incremental recalculation after source code changes;Semantic capability component, for providing completion, jump, reference, renaming, semantic highlighting, formatting and other capabilities;Protocol scheduling component, for unified scheduling and returning results to requests, notifications, background tasks.The application can perform real-time semantic processing on Verilog / SystemVerilog code in a continuous editing scenario, reduce the delay caused by full recalculation, and improve hardware design and development efficiency.

The embodiment of the invention discloses an ANR data collection method and device, electronic equipment and a storage medium, and the method comprises the steps: obtaining application process information which serves as a server side when process communication with a main thread of a target application program is carried out under the condition that ANR occurs in the target application program; and adding the application process information into a debugging tracking file of the target application program. According to the embodiment of the invention, effective analysis data and analysis direction are provided for analysis of the ANR problem, and the accuracy and efficiency of ANR problem analysis can be improved.

The application discloses a video key point migration method and system, relates to the technical field of multimedia data processing, and takes the clip trace file of the source video file clipped into a target video file as the basis for key point migration, breaks through the limitation of video key point migration through video matching, does not need to perform full decoding and feature extraction on the source video file and the target video file, only needs to realize the mapping of the video key point in the target video file according to the clip trace file, greatly reduces the computing power requirement, and even if the visual features of the video change greatly, the accurate migration of the video key point can be realized according to the clip trace file.

The invention provides an automatic test method based on apitraces, which comprises the following steps of: constructing a trace file database in a remote warehouse, and covering all to-be-tested OpenGL (Open Graphics Library) application trace files; mounting remote warehouse deployment trace file data locally; and automatically generating an image database according to the pre-processing parameter text, performing image matching and pixel-level comparison on each group of reference images and target images to obtain an image comparison result, and generating a red gradient difference image. According to the method, the OpenGL application program is simulated by utilizing apitraces, and the trace file testing process which is originally low in efficiency and time-consuming and cannot systematically form regression testing and result analysis is automated, so that whether performance degradation is caused by introduction of a new problem due to version updating during graph-driven iteration or not is determined; or whether some rendering exceptions which cannot be observed by naked eyes affect the output of the OpenGL application program occurs or not is judged, and the efficiency of graph drive development and optimization is improved.

Generating synthetic transactions with packets is provided. A synthetic transaction generator can store, in a packet capture trace file, packets corresponding to a test of a service provided through a network. The synthetic transaction generator can transmit the packet capture trace file to a data processing system to cause the data processing system to play or analyze the packet capture trace file to evaluate the performance of the service provided by the service provider.

A change tracking and delta generation (CTDG) system servicing multiple clients is disclosed for enabling the delta generation during replication to be proportional to the number of changes between two snapshots instead of the size of the snapshots. In some embodiments, CTDG can track changes to a file system, where change-tracking can be dynamically switched between two sub-CT modes, file level or directory level. Change-tracking (CT) keys may be generated accordingly and stored in a data structure to be used for delta generation during replications for clients. In some embodiments, change-tracking may be enabled or disabled for different clients. CTDG can coordinate the CT enablement / disablement to ensure replications can use the information in CT keys properly.

The application provides a system and method for supporting version control of cloud local resource cooperation, and the system for supporting version control of cloud local resource cooperation comprises a webpage front end, a cloud virtual machine, an API intermediate interface layer, a version management system server and a cloud file storage server. The technical scheme of the application can efficiently realize version management of files and provide branching function, supports a multi-person cooperation scene; meanwhile, based on metadata, the method can record the permissions of users and trace file versions, realizes integrated management of files, effectively solves the problem of storage data redundancy, overcomes the limitations of traditional local management and PDM and PLM technical schemes in the industrial field; compared with the SVN and Git technical schemes, the method can support management of complex non-text application model files in the industrial field, and meets the needs of large project file modification and integration.

The present invention relates to the technical field of enterprise data optimization, and discloses an enterprise data optimization management system and method based on big data, including: executing a processing cycle calculation strategy to obtain a processing cycle; when a first-level file handler processes a file: within the processing cycle; setting a threshold interval for determining whether the first-level file handler accidentally opens the file; according to the threshold interval, executing a preprocessing strategy to obtain an execution interval set; according to the execution interval set and the collection interval, executing a customized saving strategy to save the file during the processing; if the first-level file handler chooses to submit, executing a submission strategy to process the file received by the second-level file handler. By tracking the change in the file size, the storage space can be effectively managed to avoid unnecessary data accumulation. By reasonably setting the threshold, it can help determine when additional storage or backup is needed, ensure data security, make reasonable use of the storage space, and reduce the accumulation of invalid or outdated information.

Disclosed herein are system, method, and computer program product embodiments for detecting ransomware and creating ransomware incidents by way of analyzing for ransomware signals in a backup data stream on a file-by-file basis. The ransomware detection system comprises a ransomware detection engine that includes a tracking component. The tracking component may track the byte distribution and extension of a file from a backup data stream. Further, the tracking component may perform a ransomware analysis on the file and identify, using a machine learning model, that the file is encrypted by ransomware based on an anomaly score and a confidence threshold. Subsequently, the tracking component may create a ransomware incident based on the identification that the file is encrypted by ransomware. Disclosed herein are additional embodiments directed towards training and updating a machine learning model within the ransomware detection engine.

This invention relates to the field of chip technology, and more particularly to a method for generating trace files based on configuration files, an electronic device, and a medium. The method includes step S1: obtaining the configuration file {F1, F2, ..., F...} corresponding to the chip. n ,...,F N}, F n ={A n B n F1 n F2 n ,...,F i n ,...,F g(n) n Step S2, based on {F1} n F2 n ,...,F i n ,...,F g(n) n Generate an A n Corresponding interface C n and in A n C is built in the corresponding chip component module n and each F i n The connection, in C n Setting B in the middle n Step S3: Perform simulation based on the chip. When B is satisfied... n At that time, through C n Get each corresponding F i n The invention obtains tracking information and generates corresponding tracking files. It can acquire information corresponding to signals within the chip to track and locate design problems in the chip.

This application relates to a performance testing method, apparatus, chip, and mobile terminal for an application. The method includes: in a scenario where a target application is being performed on for performance testing, obtaining an initial trace file containing display information throughout the entire testing process of the target application; converting the initial trace file into a target trace file; wherein the target trace file and the initial trace file have different file formats; segmenting the target trace file to obtain multiple consecutive trace sub-files corresponding to the target trace file; and obtaining the performance test results of the target application based on the multiple consecutive trace sub-files. This method can improve the testing efficiency of the target application.

A change tracking and delta generation (CTDG) system servicing multiple clients is disclosed for enabling the delta generation during replication to be proportional to the number of changes between two snapshots instead of the size of the snapshots. In some embodiments, CTDG can track changes to a file system, where change-tracking can be dynamically switched between two sub-CT modes, file level or directory level. Change-tracking (CT) keys may be generated accordingly and stored in a data structure to be used for delta generation during replications for clients. In some embodiments, change-tracking may be enabled or disabled for different clients. CTDG can coordinate the CT enablement / disablement to ensure replications can use the information in CT keys properly.

Embodiments relate to storing and updating reference communication flows as a reference dataset for comparison against a query communication flow to perform a network trace analysis. One or more network trace files are received as a query and processed into the query communication flow. Reference communication flows are processed to determine their features and labels. These reference communication flows and their features are stored and compared against the query communication flow and its features to identify a subset of labeled reference communication flows that are most similar. This subset is then compared with the query communication flow to generate predicted labels and related information. Feedback based on these predictions is received and used for updating the reference dataset adaptively. This approach reduces time-consuming manual operations in network trace analysis while continuously improving predictions based on the feedback.

This disclosure describes systems, methods, and devices related to using artificial intelligence to validate performance of integrated circuit features. A device may extract, from instruction files, microinstructions source and destination registers; generate a dependency graph including macroinstructions as nodes and dependencies between macroinstructions as edges between the nodes; generate, based on the dependency graph, a frequency distribution of instructions from trace files, performance univariate autoregressive conditionally heteroscedastic (Perf uarch) stat files, and register transfer language (RTL) stat files, predictors for a machine learning model; generate, based on the Perf uarch stat files and the RTL stat files, ratios of Perf uarch stats to RTL stats as target stat ratios; generate, using the predictors and the machine learning model, predicted ratios of Perf uarch stats to RTL stats; and generate, using greedy constrained optimization, based on the target stat ratios and the predicted ratios, recommended traces for debugging.

The present invention relates to a method, a device and a system for communicating files in a switched communication network of a vehicle, the switched communication network comprising a plurality of computers (311, 312, 313) and a plurality of switches (301, 302). For this purpose, a first switch (301) receives a first data frame (F1) from a first computer (311) connected to the first switch (301). The first switch (301) records a first item of information representative of a time of reception of the first data frame (F1) by the first switch (301) in a first file (T1). The first switch (301) transmits the first file (T1) to an external device (11) in the switched communication network via a determined port, called the instrument port (3011) of the first switch (301). Figure for abstract: Figure 3

The invention discloses a real scene mobile device storage performance self-adaptive evaluation method and device and a medium, and relates to the technical field of storage performance evaluation, and the method comprises the steps: connecting a mobile device through an ADB, and configuring an ftrace subsystem to start block layer I / O event tracking; performing I / O event collection for multiple times when real user operation of the target application is executed; after collection, pulling and analyzing the trace file to extract a plurality of performance indexes; performing quality diagnosis on the trace file and outputting rating; when the rating is qualified, historical baseline data matched with the current test scene information is obtained from a baseline database, and the matching is performed based on a scene identifier and a wildcard character mode; and on the basis of the extracted indexes and the matched base line, single scores of the indexes are calculated by adopting a piecewise linear scoring algorithm, a comprehensive health degree score is obtained after weighted fusion, and a performance grade is determined. The invention provides a mobile equipment storage performance evaluation scheme capable of realizing automation and multi-dimension and supporting cross-version performance comparative analysis based on a real application scene.

The embodiment of the invention provides a storage device testing method, an electronic device and a storage medium, and the method comprises the steps: controlling a first testing device connected with a to-be-tested storage device to execute a preset host operation, collecting interaction data between the first test equipment and the to-be-tested storage equipment in the process of executing the preset host operation and first response data of the to-be-tested storage equipment to the preset host operation; generating a tracking file based on the interaction data and the first response data; and sending the tracking file to a second test device, controlling the second test device to send test data to the to-be-tested storage device based on the tracking file, and carrying out compatibility test on the to-be-tested storage device. According to the embodiment of the invention, when the compatibility test is carried out on the storage device, the host operation can be pre-recorded and then played back, so that the compatibility test efficiency of the storage device is effectively improved.

Embodiments of the present application provide a frame freezing analysis method and device, and belong to the technical field of communication. The method comprises: downloading a trace file set corresponding to a target terminal; wherein the trace file set comprises N first trace files, each first trace file is used to represent thread calling information of the target terminal, and N is a positive integer; determining at least part of the first trace files in the trace file set as target trace files according to the thread calling information corresponding to each first trace file; and generating a frame freezing analysis result corresponding to the target terminal based on a target thread corresponding to each target trace file.

There is a process for guiding at least two parties in a real estate closing over a computer network having at least one microprocessor comprising the steps of registering at least one first party by storing information about the first and the second party in the computer network, next there is registering at least one buyer and then registering at least one offer on at least one house. Next, the process includes creating an offer listing by presenting the offer listing over a computer network, next automatically setting deadlines for each party for production of documents, and then tracking the receipt of documents for timeliness by tracking the time the documents are presented into the computer network and then ranking at least one of the parties based upon the documents presented based upon timeliness and quality of the documents.

A method for performing a call trace in the cloud-based communication network includes receiving, using a call trace module, a region for a user equipment (UE) device and a subscriber number for the UE device, identifying, using the call trace module, a set of network functions associated with the region for the UE device from a plurality of network functions of the communication network, establishing, using the call trace module, a call trace for each network function in the set of network functions, collecting, using the call trace module, call trace data associated with the subscriber number for the UE device from one or more network functions in the set of network functions, storing, using the call trace module, the collected call trace data in a data storage device, and generating, using the call trace module, a report with at least the collected call trace data.

The invention provides an application program ARN monitoring method and device under an Android system and a medium, belongs to the technical field of Android application development, and is used for solving the technical problem that an existing ARN monitoring scheme is poor in real-time performance. The method comprises the following steps of: creating a self-defined FileObserver subclass in a system application; monitoring a specific event of a trace file in a specific directory through the FileObserver subclass; and when the specific event is successfully monitored, reading data related to the ARN in a trace file by utilizing a BuffedReader class, and packaging the data related to the ARN into a JSON (JavaScript Object Notation) format to be stored. By means of the method, real-time monitoring of the application ARN is achieved, and application developers can be fed back in time to optimize and repair.

Embodiments relate to storing and updating reference communication flows as a reference dataset for comparison against a query communication flow to perform a network trace analysis. One or more network trace files are received as a query and processed into the query communication flow. Reference communication flows are processed to determine their features and labels. These reference communication flows and their features are stored and compared against the query communication flow and its features to identify a subset of labeled reference communication flows that are most similar. This subset is then compared with the query communication flow to generate predicted labels and related information. Feedback based on these predictions is received and used for updating the reference dataset adaptively. This approach reduces time-consuming manual operations in network trace analysis while continuously improving predictions based on the feedback.

Embodiments of the present disclosure provide an application program lag data acquisition method and device, equipment and a storage medium, by acquiring tracking information of an application program, the tracking information is used to represent time-consuming information related to the application program in the running process of the application program; the tracking information is cached to a preset position through an asynchronous thread in a user mode to generate a tracking file, wherein the tracking file is used for lag analysis of the application program; the tracking file is uploaded to a server to remotely acquire lag data in a terminal device for analyzing the application program lag. Since the tracking information is cached to the preset position in the user mode when the tracking file is acquired, the time delay problem caused by I / O operation caching of the tracking information in the kernel mode can be avoided, thereby improving the smoothness of the application program running.