Abstract: System calls can be used to troubleshoot problems with software services. For example, a system can receive tracing data indicating system calls executed by a group of software services. The system can analyze parameters of the system calls described in the tracing data to identify relationships between the system calls. The system can determine a sequence of system calls between a predefined starting event and a predefined ending event based on the relationships between the system calls. The system can then generate an output to a user indicating the sequence of system calls. The output can be used by the user to troubleshoot a problem associated with executing the plurality of software services.

Abstract: An ultrasound imaging system includes an ultrasound probe designed to produce an ultrasound image including one or more blood vessels below a skin surface of a patient, and a console with a display. The console is operably coupled to the ultrasound probe. The console includes a memory including instructions capable of causing a processor to determine a depth of the user selected blood vessel and a selection of medical devices based on a user selection including one or both of a minimum dwell length and an angle of insertion. The processor can be configured to determine these parameters prior to insertion of a user selected medical device into a user selected blood vessel from the one or more blood vessels below the skin surface of the patient. The display depicts the ultrasound image, the user selected blood vessel, and the user selected medical device.

Abstract: Techniques for causal modeling. Historical feature data is received, relating to a plurality of nodes in a system. A machine learning (ML) model is generated, for a node of the plurality of nodes. The ML model is trained to predict a plurality of future feature values for the node based on at least a portion of the historical feature data. A causal graph is generated, for the plurality of nodes, using a feature selection mechanism within the ML model. The feature selection mechanism includes a regularization term encouraging sparsity of nodes in selected features in the ML model.

Abstract: Systems and methods for predictively detecting vehicle failure based on diagnostic trouble codes are provided. In one example, a method is provided, comprising determining a probability of failure of a vehicle based on one or more diagnostic trouble codes (DTCs); and indicating to an operator of the vehicle that failure is likely in response to the probability exceeding a threshold.

Abstract: An error management system can provide search results based on a received stack trace. For example, the error management system receives, from a client device, a search query including a stack trace. The error management system parses the search query to identify at least a first class and one or more errors associated with the first class, yielding a parsed search query. The error management system searches a class mapping table based on the parsed search query. The class mapping table includes a listing of classes and corresponding links to source code. The error management system searches an error discussion database based on the parsed search query. The error discussion database includes one or more user generated postings regarding programming errors. The error management system provides, to the client device, search results resulting from searching the class mapping table and the error discussion database.

Abstract: A monitoring system that monitors a monitoring-target system is disclosed. The monitoring system includes one or more storage apparatuses that store a program, and one or more processors that operate according to the program. The one or more processors determine an estimated value of a monitoring-target response variable of the monitoring-target system on a basis of measurement data included in test data of the monitoring-target system and a causal structure model of the monitoring-target system. The one or more processors decide whether an abnormality has occurred in the monitoring-target system on a basis of a result of a comparison between a measurement value of the monitoring-target response variable included in the test data, and the estimated value.

Abstract: A system, method, and computer-readable medium are disclosed for performing a data center monitoring and management operation. The data center monitoring and management operation includes: monitoring a plurality of data center assets contained within a data center; receiving a data center asset data stream, the data center asset data stream comprising a plurality of data center events, at least some of the plurality of data center events having associated data center issues; capturing asset alert data from the plurality of data center events; and, performing a data center issue analysis operation, the data center issue analysis operation using the asset alert data from the plurality of data center events, the data center issue analysis operation identifying a data center asset from the plurality of data center assets affected by the particular data center issue.

Abstract: A method for execution by a storage network begins by issuing a decode threshold number of read requests for a set of encoded data slices to a plurality of storage units of a set of storage units and continues by determining whether less than a decode threshold number of read requests has been received in a time window. The method continues by identifying one or more encoded data slices encoded data slices associated with read requests of the decode threshold number of read requests that have not been received and for an encoded data slice of the one or more encoded data slices, issuing a priority read request to a storage unit storing a copy of the encoded data slice. The method then continues by receiving a response from the storage unit storing the copy of the encoded data, where the storage unit storing the copy of the encoded data slice is adapted to delay one or more maintenance tasks in response to the priority read request.

Abstract: A processing device in a memory system detects a data loss occurrence in a block of a memory component. The processing device further designates the block as a quarantined block, performs a stress test on the block, and depending on whether the stress test on the block satisfies a testing criterion, either designates the block as usable by the memory component or retires the block of the memory component.

Abstract: A computer-implemented method according to one embodiment includes creating a log of one or more events occurring during a performance of continuous data protection (CDP) for an instance of data; in response to identifying a conclusion of the performance of CDP for the instance of data, determining a value for the one or more events within the log; and conditionally creating and storing a snapshot of the instance of data, based on a comparison of the value for the one or more events to a predetermined threshold.

Abstract: Systems and methods that may be used to provide an inference-based incident detection and reporting process. In one or more embodiments, an inference model may be used to track and analyze changes and incident data from various sources of record to quickly predict potential sources of errors and help focus in on the root cause of a software incident.

Abstract: A method of automatic troubleshooting, includes determining that a first parameter was degraded; identifying at least one first process corresponding to the first parameter; determining whether the at least one first process was operating while the first parameter was degraded; based on determining that the at least one first process was operating while the first parameter was degraded, identifying a problem scenario corresponding to the first parameter and the at least one first process; identifying a plurality of second parameters associated with the problem scenario; determining whether the plurality of second parameters were degraded; based on determining that the plurality of second parameters were degraded, determining that the problem scenario occurred; and based on determining that the problem scenario occurred, displaying information indicating the problem scenario.

Abstract: Disclosed in some examples are systems, methods, devices, and machine-readable mediums to detect and terminate programmable atomic transactions that are stuck in an infinite loop. In order to detect and terminate these transactions, the programmable atomic unit may use an instruction counter that increments each time an instruction is executed during execution of a programmable atomic transaction. If the instruction counter meets or exceeds a threshold instruction execution limit without reaching the termination instruction, the programmable atomic transaction may be terminated, all resources used (e.g., memory locks) may be freed, and a response may be sent to a calling processor.

Abstract: Method and system for Root Cause Analysis (RCA) across multiple network systems. Update information of a first local root cause analysis mechanism is received. An RCA controller generates, based on the update information, a new node to be added to a global root cause decision tree, where the global root cause decision tree is to be shared by at least two of the plurality of network operators. The RCA controller requests storage of the new node in a distributed ledger that is shared by network operators. The RCA controller participates in a verification operation of the new node. In response to determining that the verification operation is successful, the RCA controller adds an entry including the new node to the distributed ledger as part of the global root cause decision tree. Alternatively, when the verification operation is not successful, the new node is not added to the distributed ledger.

Abstract: A computer network includes a server computer having communication ports that are wired to switch ports of two separate network switches. The network switches receive link layer discovery protocol (LLDP) packets from other network devices, and automatically aggregate corresponding switch ports into a port channel aggregation based on the contents of the LLDP packets.

Abstract: A method and apparatus where the method includes detecting a plurality of events related to the activities of users within a security system wherein the events are defined by a plurality of attributes, wherein at least one attribute is categorical and wherein a data distance between events is a function of event attributes, evaluating the detected events using a density based anomaly detection method f(r), where r is a size of a neighborhood around a data point, comparing a value of the evaluated expression with a margin threshold value (msg(r)) and setting an alarm upon detecting that the value exceeds the threshold value.

Abstract: A method for generating a set of analytical redundancy relations representative of a system with which a plurality of sensors is associated for the observation of variables indicative of operating conditions and adapted to enable detection and discrimination of faults. A complete set of analytical redundancy relations of the system is built from a set of intermediate relations established between observable and non-observable variables of the system, wherein each intermediate relation is generated by combining two predetermined relations Rj, Rk, each of which is expressed in an implicit form as a tuple (i) of a subset Sj of system variables, (ii) of the set Cj of the support components for said relation, and (iii) of the set Tj of the primary relations used to derive said intermediate relation.

Abstract: In one embodiment, the techniques herein provide that a node may receive indicia of a fault state in one or more components of a computer network. Based on the indicia, the node may then identify a network dependency group including a plurality of network components that are hierarchically associated with the one or more components. The node may then receive, from a database, a time series of performance data values corresponding to the network dependency group, wherein the time series comprises performance data values from before and after the onset of the fault state. The node may then identify altered performance data values in the time series comprising values which differ before and after onset of the fault state, and then determine a root cause of the fault state by identifying one or more particular components within the network dependency group that are associated with the altered performance data values.

Abstract: A method of correlating the timing of multiple interleaved trace data streams. A Time Stamp Trace stream logic monitors the event trace stream for a synchronization request. When a synchronization request, a CTI trigger or both are detected the EEP ID is incremented and the time stamp value is inserted into the trace stream along with the EEP ID and any relevant identification markers available in the detected synchronization request.

Abstract: Automated program testing is facilitated. Test results generated based on performance of one or more tests by a program are obtained, where a test passes or fails based on output obtained based on performance of the test by the program. A failure output of the test results is identified, the failure output being of a failing test that includes at least one command, and the failure output being obtained based on performing the at least one command. A modified test is automatically generated based on the failing test, where the modified test is provided for performance thereof by the program to facilitate testing of the program. The modified test includes the at least one command of the failing test, and the modified test passes based on obtaining the identified failure output of the failing test.

Abstract: Technologies are generally described for systems and methods effective to provide an automatic diagnostic data collection system to facilitate diagnosis of technical problems associated with computing device and to facilitate the analysis of marketing and performance metrics of the computing devices. When a user of a computing device calls or accesses a help desk and/or call center, data can be automatically collected from the computing device to allow the help desk operator quickly and accurately diagnose the problem. If no error is specified, general diagnosis data including results of a trace route between a server and the computing device can be collected. If an error is specified, error logs associated with the error can also be collected. The data can be filtered based on a diagnosis request and transferred to the relevant technical support system.

Abstract: Methods, apparatuses, and computer program products for administering checkpoints for incident analysis are provided. Embodiments include a checkpoint manager receiving from each incident analyzer of a plurality of incident analyzers, a checkpoint indicating an incident having the oldest identification number still in analysis by the incident analyzer at the time associated with the checkpoint. The checkpoint manager examines each received checkpoint to identify, as a restore incident, an incident having the oldest identification number indicated in any of the received checkpoints. A monitor sends to the incident analyzers, a stream of incidents beginning with the identified restore incident and continuing with any incidents having a newer identification number than the identified restore incident.

Abstract: A system is provided for integrating failure data for different failure analysis layouts. The system includes a data validator and layout engine. The data validator is configured to validate failure analysis data for a complex system including a plurality of systems. The failure analysis data includes failure data identifying failed systems, and design data describing the complex system and possible failures of at least some of its systems. In this regard, the data validator is configured to perform one or more consistency checks between the failure data and design data to thereby integrate the failure data for a plurality of different failure analysis layouts. The layout engine is in turn configured to selectively generate and communicate any one or more of the plurality of different layouts of the failure analysis data, with at least some of the failure analysis data being shared between at least some of the different layouts.

Abstract: Transactional execution branch indications are placed into one or more transaction diagnostic blocks when a transaction is aborted. Each branch indication specifies whether a branch was taken, as a result of executing a branch instruction within the transaction. As the transaction executes and a branch instruction is encountered, a branch indication is set in a vector indicating whether the branch was taken. Then, if the transaction aborts, the indicators are stored in one or more transaction diagnostic blocks providing a branch history usable in diagnosing the failure.

Abstract: Techniques for problem determination and diagnosis in a shared dynamic cloud environment. A method includes monitoring each virtual machine and physical server in the shared dynamic cloud environment for at least one metric, identifying a symptom of a problem and generating an event based on said monitoring, analyzing the event to determine a deviation from normal behavior, and classifying the event as a cloud-based anomaly or an application fault based on existing knowledge.

Abstract: A method, an apparatus and an article of manufacture for problem determination and diagnosis in a shared dynamic cloud environment. The method includes monitoring each virtual machine and physical server in the shared dynamic cloud environment for at least one metric, identifying a symptom of a problem and generating an event based on said monitoring, analyzing the event to determine a deviation from normal behavior, and classifying the event as a cloud-based anomaly or an application fault based on existing knowledge.

Abstract: A method for predicting failure in an Automated Teller Machine (ATM) is provided. The method may include using a database to store information relating to the performance of a component function by an ATM component. The information may include normal performance information and fault information. The method may further include using a computational module to calculate a fault rate for the ATM component. The method may also include using a processor to compare the calculated fault rate to a threshold value associated with the component function. In the event that the fault rate exceeds the threshold value, the processor may initiate a request for service of the ATM component.

Abstract: Disclosed is a dynamic fault tree analysis system including a fault tree module associated with a mission critical system (mcs), wherein said fault tree module includes at least one item characterized by an initial probability density function (pdf), at least one threshold value associated with the mcs, a sampling module to transform the initial pdf to a heterogeneous pdf (hpdf), wherein the hpdf includes at least one continuous segment and at least one discrete segment, and wherein transition between segments is at least partially based on the at least one threshold; and a stochastic simulator to determine the probability of an mcs failure condition by analyzing the fault tree module using the heterogeneous pdf.

Abstract: A method of ticket consolidation in computing environment may in one aspect analyze problem reports, determine whether problems reported by machines are caused by the same or substantially the same run-time configuration error or are occurring on the same physical server, and are within the given sensitivity time window, consolidate the problem tickets and increase the priority of the consolidated ticket.

Abstract: Provided is a fault tracing system and method for remote maintenance. The fault tracing method includes detecting faults by receiving error events or fault diagnosis request messages, generating transactions for the detected faults, tracing the faults according to the transactions, and notifying a client terminal or user of the fault diagnosis results. Accordingly, it is possible to accurately trace a fault even in a home/building network environment complicatedly consisting of various resources.

Abstract: A system error analysis device which includes a top unit and a storage unit coupled to the top module is mentioned. The storage unit is configured to store each of the input data, each of the output data and each of the bus data transmitted by the top unit. When receiving an interrupting signal, the system error analysis device outputs the input data, the output data and the bus data stored as soon as the interrupting signal is received and the input data, the output data and the bus data stored before the receiving of the interrupting signal. Accordingly, by comparing and analyzing the data output by system error analysis device, the system employing the system error analysis device is able to obtain the reason of the generation of the interrupting signal.

Abstract: A data processing apparatus has at least one circuit block accessible for debugging by a debugger, the block having a set of debug status registers and a debug event register which is set by the circuit block to indicate occurrence of a debug event. Debug interface circuitry interfaces with the set of debug status registers for each circuit block. The circuitry includes at least a first portion which is in a first power domain that remains in a fully powered state whilst the debugger is connected to the circuitry. Status registers are provided in a second power domain which transitions between the fully powered state and at least one low power state whilst the debugger is connected to the circuitry. Content of the debug status registers is only accessible to the debugger when the second power domain is in the fully powered state.

Abstract: A method of providing synchronization and integrity checking in a high integrity processing system having at least two redundant processing lanes, with each lane having an application processor, with the application processors running the same application software in a non-lockstep configuration, and outputting transactions requiring access to an addressable space.

Abstract: A method for distributed diagnostic reasoning is provided. The method includes establishing a computing node monitoring the operation of a component of a complex system and populating at least one of a processor and the memory of the computing node with one or more standardized executable application modules (SEAMs) and a workflow service. The method further includes creating a configuration file in combination with several SEAMS to create a distributed diagnostic reasoner (DDR) associated with the component. The method also comprises installing the configuration file in the computing node for execution by the processor; and initializing the one or more SEAMS, the configuration file and the workflow service, wherein the workflow service facilitates data flow between the one or more SEAMS and the static data associated with a fault condition resident in the configuration file.

Abstract: According to one embodiment, a maintenance device includes a first interface, a memory, and a processor. The first interface is configured to acquire setting information read by a reading unit configured to read the apparatus information including apparatus identification information and error information from an information processing device. The memory is configured to store an apparatus information table including registration error information corresponding to the registration apparatus identification information. The processor is configured to analyze the apparatus information based on the apparatus information table.

Abstract: A fault analyzing circuit has: a comparing circuit to compare fault data stored in a storage area with a fault being caused with data of an alternation register; and a position identifying circuit to identify an error bit position from data of a comparative result of the comparing circuit.

Abstract: A method for detecting failures and requesting failure diagnoses, includes receiving monitoring information from an resource object. Further, the method includes, if an error message is included in the received monitoring information, determining that a failure has been detected in the resource object to send a failure diagnosis request message to a failure diagnosis framework. Furthermore, the method includes receiving failure diagnosis result information from the failure diagnosis framework.

Abstract: A method detects soft failures as follows. A set of artifacts being generated by at least one process in a system is monitored. A number of artifacts being generated by the process is determined to be below a given threshold in response to the monitoring. The process is monitored in response to the determination. A current state of the process is determined in response to the analyzing. A notification is generated in response to the current state of the process including a set of abnormal behaviors.

Abstract: Methods and arrangements for detecting and diagnosing system outages. A system outage is ascertained and aberrant user activities are categorized, as possible contributors to the system outage, based on system impact. User activities and system impact are learned, and user activities and system impact are compared against predetermined rules. A system outage alert is generated, and a user activity responsible for the system outage is displayed.

Abstract: A system and method of various SoC design verification techniques. A model of an SoC design is simulated in an emulator, and the emulator is connected to a debugger. Scripts are conveyed from a host computer to the debugger. The debugger translates the commands in the scripts from a first language into commands in a second language. The debugger then conveys the commands in the second language to the emulator. The debugger is also configured to utilize the same scripts to perform tests on an actual SoC on a development board.

Abstract: A method begins by a dispersed storage (DS) processing module selecting two or more correlated error messages of a plurality of error messages. The method continues with the DS processing module identifying two or more collection of records corresponding to the selected two or more correlated error messages such that a collection of records includes an event record including information regarding an event, a first record including information regarding a dispersed storage (DS) processing module processing an event request to produce a plurality of sub-event requests, and a plurality of records including information regarding a plurality of DS units processing the plurality of sub-event requests. The method continues with the DS processing module identifying a correlation cause of one or more errors corresponding to the two or more correlated error messages based on the two or more collections of records.

Abstract: In one embodiment, a digital asset testing system 200 may test a digital asset 202 before posting at a digital distribution store. A communication interface 180 may receive a digital asset 202. A processor 120 may execute testing of the digital asset 202 on a testing virtual machine 212 of a virtual machine set. The processor 120 may execute testing of the digital asset 202 simultaneous with testing executed on each virtual machine 212 of the virtual machine set. The processor 120 may delay testing of the digital asset 202 on the testing virtual machine 212 if a testing virtual machine configuration 214 is stale.

Abstract: A disk control apparatus includes a processor, and a memory coupled to the processor in which executes a process as follows. The process includes diagnosing whether or not a failure has occurred on each of a plurality of disk apparatuses, determining, when the failure has occurred, whether or not the failure is a pre-defined failure, and excluding from diagnosis targets, when the failure is the pre-defined failure, a disk apparatus group included in a RAID together with a failed disk apparatus that is determined to have the pre-defined failure in the plurality of disk apparatuses.

Abstract: Coverage analysis may be performed using reverse time. The coverage analysis may be based on last hit data. The last hit data may comprise a timestamp indicating a last time in which a coverage event was covered. Utilizing last hit data instead of first hit data as is known in the art enables distinction between coverage goals that were never covered and coverage goals that were not covered lately.

Abstract: An automated support system includes a database of statistics used to calculate and store the solution ratings. The database is connected to a decision-making module that selects appropriate solutions. A known computer operation-related problem is stored in the database. The problem is represented by a set of parameters of a user computer system. Any given set of parameters defines a problem existing on the user(s) computer system. A solution formed by the solution adding module is represented by a special file. The selected solution is automatically executed on the user computer system and operation-related problem is solved. The effective solution is assigned rating stored in the solution database.

Abstract: An apparatus comprising an array controller and a frame buffer. The array controller may be configured to read/write data to/from a drive array in response to one or more input/output requests. The frame buffer may be implemented within the array controller and may be configured to perform (i) a first data integrity check to determine a first type of data error and (ii) a second data integrity check to determine a second type of data error. The frame buffer may log occurrences of the first type of error and the second type of error in a field transmitted with the data. The field may be used to determine a source of possible corruption of the data.

Abstract: A method, computer program product, and system for defect closure is described. A method may allowing, via one or more computing devices, a user to define one or more parameters associated with a defect. The method may further comprise modifying, via the one or more computing devices, a care-value associated with the defect, as a function of time, based upon, at least in part, the one or more parameters defined by the user. The method may additionally comprise, in response to determining that the defect is unresolved after a configurable time period, closing, via the one or more computing devices, the defect.

Abstract: A method, data processing system, and computer program product for testing a computer system. A sequencer tests the computer system using test modules arranged in a first sequence, wherein each of the test modules is for testing at least a portion of the computer system. The sequencer determines if an operator is available, in response to an interrupt generated by a test module. If an operator is available, the sequencer arranges the test modules into a second sequence based on a first policy. If an operator is unavailable, the sequencer arranges the test modules into a third sequence based on a second policy.

Abstract: In a method for detecting memory errors occurring in a computing device, a channel number of an error memory module is obtained from a first register of a memory controller of the computing device. The method analyzes an error type to obtain a rank number of the memory module from one or more specified registers of the memory controller, and finds a serial number of a memory slot into which the memory module has been inserted. According to the serial number of the memory slot and a distribution list, the method can detect the memory slot which is carrying the memory module.

Abstract: Methods, systems, and computer program products for restarting event and alert analysis after a shutdown in a distributed processing system are provided.