Abstract: There are provided systems and methods for tracking data flow through data services using a processing request identifier in callstack data. During processing requests with a service provider, each request is assigned a particular identifier, called a correlation identifier. The correlation identifier is stored in callstack data and may be used to map these individual data processing flows for the requests to the data processing services of the service provider used during the flows. Once the data flows are determined the actual used services may be identified. The mapping system may also provide for removal of erroneous callstack and reassembly of callstack data during asynchronous service calls. Additionally, the data flows may be used to see where multiple callstacks have divergent data flows. A service provider may utilize the data flows for determination of service usage rates.

Abstract: A ring replication system receives and redundantly stores electronic data for access by users. Two or more storage devices are configured in a ring and circulate received data to each other. At least one such device receives incoming data records from an external source. One storage device is designated as the ordering device for assigning a sequence order to each data record, and the assigned sequence order is circulated around the ring. After confirming that the assigned sequence order has been indexed within each storage device on the ring, data records may then be accessed by users. One or more access portals may be coupled to one or more storage devices in the replication ring for providing users with access to stored data records. Data records are accessed in accordance with the assigned sequence order. A related method for redundant storage of data records is also disclosed.

Abstract: A test apparatus is provided for use with a mainframe and an adapter. The test apparatus includes a logical adapter interface unit and a control system. The logical adapter interface unit is interposable between the adapter and the mainframe whereby an I/O signal transmittable from the adapter and to the mainframe is transmitted through the logical adapter interface unit. The logical adapter interface unit is configured to manipulate the I/O signal. The control system is coupled to the logical adapter interface unit and the mainframe and is configured to control manipulations of the I/O signal by the logical adapter interface unit to mimic a condition of I/O traffic being run through the adapter and to log a response of the mainframe to the manipulations.

Abstract: A computer-implemented method upgrades an edge network based on analysis by a learning model. The method includes identifying, in a network, a plurality of devices, where each device in the network is configured to provide data on at least one other device in the network. The method also includes determining capabilities of each device of the plurality of devices. The method further includes monitoring, for each device, capacity information and tasks performed during operation of the network. The method includes analyzing, based on the monitoring, each use of each device. The method also includes recommending, in response to the analyzing and by a learning model, a first upgrade to the network. The method further includes implementing the first upgrade.

Abstract: A system for collecting building environmental sensor data includes a first data collection device having a first transceiver that is configured to receive data from proximate building environmental sensors and a second transceiver that is configured to communicate with an external service. The device will, upon detecting that the first transceiver is within a receiving range of a first building environmental sensor, communicatively connect with the first building environmental sensor to receive a data stream that comprises sensor data captured by the first building environmental sensor. The device will continue to receive the data stream until the first transceiver either receives all of the sensor data or moves out of the receiving range. The device will repeat this process for additional building environmental sensors. The device will use its second transceiver to transfer the sensor data to the external service.

Abstract: A method includes, storing a set of valid codewords including: a first valid functional codeword representing a functional state of a controller subsystem; a first valid fault codeword representing a fault state of the controller subsystem and characterized by a minimum hamming distance from the first valid functional codeword; a second valid functional codeword representing a functional state of a controller; and a second valid fault codeword representing a fault state of the controller; in response to detecting functional operation of the controller subsystem, storing the first valid functional codeword in a first memory; in response to detecting a match between contents of the first memory and the first valid functional codeword, outputting the second valid functional codeword; in response to detecting a mismatch between contents of the first memory and every codeword in the first set of valid codewords, outputting the second valid fault codeword.

Abstract: Disclosed techniques relate to automatically instrumenting a web application. In an aspect, a method identifies that a web application includes an event that is triggered by a user interaction. The method associates the event with a tracer that is configured to log tracing information based on an execution of a first set of operations caused by the event and to obtain a first measurement of performance of a first span. The method identifies, in the code, that the execution of a first set of operations causes a request to be made to a server. The method associates the request with the tracer. The tracer is configured to log tracing information based on an execution of a second set of operations caused by the request and to obtain a second measurement of performance of a second span that is a child span of the first span.

Abstract: Embodiments disclosed herein provide for methods and systems for providing an enterprise synthetic monitoring framework, wherein the enterprise synthetic monitoring framework is configured to provide exhaustive end-to-end monitoring for a variety of applications and workflows including those that are browser and non-browser based, those that are implemented on mobile devices, and those that are implemented utilizing native protocols.

Abstract: Systems, apparatuses, and methods related log compression are described. In an example, a system log that identifies targeted data may be compiled in a memory resource during an execution of an operation using that memory resource. The system log may be analyzed utilizing a portion of the memory resource that would otherwise be available to be utilized in the execution of the operation. The system log may be compressed during the execution of the operation, the level or timing of such compression may be based on the analysis that occurs contemporaneous to or as a result of executing the operation. In some examples, compressing the system log may include discarding a portion of the system log. Compressing the system log may also include extracting the targeted data from the system log as the system log is being compiled and converting the extracted targeted data to structured data.

Abstract: Techniques for implementing an infrastructure orchestration service are described. In some examples, a declarative provisioner of the infrastructure orchestration service receives instructions for deployment of a resource. The declarative provisioner identifies that the deployment of the resource is a long-running task stores state information corresponding to the deployment of the resource. In certain embodiments, upon identifying that the deployment of the resource is a long-running task, the declarative provisioner pauses its execution of the long-running task. Responsive to a trigger received from the infrastructure orchestration service, the declarative provisioner resumes execution of the deployment of the resource using the state information and transmits deployment information corresponding to the deployment of the resource to the infrastructure orchestration service.

Abstract: A circuit device 10 includes a register 30, an access control circuit 20 that controls access to a nonvolatile memory 70 and loads setting data of the circuit device 10 stored in the nonvolatile memory 70 in the register 30, and an error detection circuit 40. The access control circuit 20 performs a refresh operation that reloads the setting data stored in the nonvolatile memory 70 in the register 30. The error detection circuit 40 reads data for comparison that has been reloaded in the register 30 from the register 30, compares the data for comparison that was read with an expected value of the data for comparison, and performs access control error detection based on the comparison result.

Abstract: Aspects pertaining to a crash dump file are described. In an example, the crash dump file may include one or more sections within which crash-related data is stored. A content file is also described which records valid parameters, wherein the valid section parameters pertain to corresponding sections within the crash dump file.

Abstract: In one example, a hardware accelerator comprises an event register that stores an event; a hardware execution engine; and a controller configured to: extract, from an instruction, parameters of an operation to be performed by the hardware execution engine, and a synchronization primitive of a plurality of synchronization primitives for the event; and based on the synchronization primitive, perform at least one of: controlling a start time of the operation at the hardware execution engine, or determining whether to access the event register. The synchronization primitives include a set operation to set the event and/or a wait operation to suspend the operation at the hardware execution engine until the event is set. The plurality of synchronization primitive defines different conditions to be satisfied in order to perform the set operation.

Abstract: A novel and useful system and method of accessing multi-dimensional data in memory. The invention is applicable to neural network (NN) processing engines adapted to implement artificial neural networks (ANNs). The NN processor is constructed from self-contained computational units organized in a hierarchical architecture. The homogeneity enables simpler management and control of similar computational units, aggregated in multiple levels of hierarchy. Computational units are designed with minimal overhead as possible, where additional features and capabilities are aggregated at higher levels in the hierarchy. On-chip memory provides storage for content inherently required for basic operation at a particular hierarchy and is coupled with the computational resources in an optimal ratio. Lean control provides just enough signaling to manage only the operations required at a particular hierarchical level.

Abstract: Described embodiments provide systems and methods for displaying a service graph in association with a time of a detected anomaly. A device may store a plurality of snapshots of a service graph of a plurality of microservices. Each of the snapshots of the service graphs include metrics at a respective time increment from execution of each of the plurality of microservices. The device may detect an anomaly with operation of one or more microservices of the plurality of services. The device may identify a set of snapshots of the service graph within a predetermined time period of a time of the anomaly. The device may display each of the snapshots in the set of snapshots of in sequence corresponding to time increments within the predetermined time period of the time of the anomaly.

Abstract: In one example implementation, a log analysis system can comprise an activity engine to monitor user activity of a computer system, a baseline engine to generate an expected baseline of a log, and an abnormality engine to compare the log to the expected baseline to identify an abnormality, compare the abnormality to a user activity volume based on a correlation between the user activity volume and the log activity, and classify the log.

Abstract: An operations server synchronizes updates to a cloud-based shared versioned file system. The shared versioned file system includes directories and sub-directories that are divided into shards. The operations server coordinates requests from local filer servers, each running a respective local version of the shared versioned file system, to update a shard in the cloud-based shared versioned file system. The operations server can provide a global lock on the shard to a local filer server before it updates the shard in the cloud-based shared versioned file system. Preferably, shards are sized dynamically based on the number of entries in the directories associated therewith.

Abstract: Systems and methods for monitoring a robotic process automation (RPA) system are provided. Job execution data for one or more jobs in the RPA system is determined based on logs of the RPA system. The job execution data for the one or more jobs in the RPA system is caused to be displayed in substantially real time.

Abstract: A system for capturing a trace of an NVME hard disc can include a BMC, a BIOS, a protocol analysis instrument, and a fixture plate comprising a processor and a dial switch. The BIOS is configured to acquire register error information of the PCIe link when an error occurs to a PCIe link where the NVME hard disc is located, and send the register error information to the BMC, and the BMC is configured to send the received information to the fixture plate, and the fixture plate is configured to trigger the protocol analysis instrument to capture a PCIe trace of the NVME hard disc when a current error type corresponding to the dial switch is consistent with the error type of the register error information parsed by a processor of the fixture plate.

Abstract: Disclosed techniques relate to automatically instrumenting a web application. In an aspect, a method identifies that a web application includes an event that is triggered by a user interaction. The method associates the event with a tracer that is configured to log tracing information based on an execution of a first set of operations caused by the event and to obtain a first measurement of performance of a first span. The method identifies, in the code, that the execution of a first set of operations causes a request to be made to a server. The method associates the request with the tracer. The tracer is configured to log tracing information based on an execution of a second set of operations caused by the request and to obtain a second measurement of performance of a second span that is a child span of the first span.

Abstract: A graphics processing system for operation with a data store, comprising: one or more processing units for processing tasks; a check unit operable to form a signature which is characteristic of an output from processing a task on a processing unit; and a fault detection unit operable to compare signatures formed at the check unit; wherein the graphics processing system is operable to process each task first and second times at the one or more processing units so as to, respectively, generate first and second processed outputs, the graphics processing system being configured to: write out the first processed output to the data store; read back the first processed output from the data store and form at the check unit a first signature which is characteristic of the first processed output as read back from the data store; form at the check unit a second signature which is characteristic of the second processed output; compare the first and second signatures at the fault detection unit; and raise a fault signal i

Abstract: A method may comprise collecting data from a core network, an operator network and a customer premise network. KPI values corresponding to one or more KPIs may be determined, based on the collected data. KQI values corresponding to one or more KQIs may be determined, based on the one or more of the determined KPI values. The determined KQI values may be output to an operator. In an embodiment, data collected from the core network may include data collected from one or more analyzer devices and head end probes. Data collected from a customer premise network may include data collected from last mile equipment or customer premise probes.

Abstract: An apparatus and method are described for aligning corresponding elements in multiple streams of elements. An apparatus is provided comprising both first generation circuitry to generate a first stream comprising first elements and second generation circuitry to generate a second stream comprising second elements. The first generation circuitry is arranged to insert a first element in the first stream to identify each occurrence of a corresponding second element in the second stream. Key generation circuitry is used to generate, for each instance of the first element to be included within the first stream, an associated key value determined from a set of key values, the set of key values being insufficient to allow unique key values to be generated for each instance of the first element. The first generation circuitry is then arranged to indicate within the first stream the associated key value for each instance of the first element.

Abstract: A computer-implemented method for analyzing spans and traces associated with a microservices-based application executing in a distributed computing environment comprises aggregating a plurality of ingested spans associated with one or more applications executing in the distributed computing environment into a plurality of traces, wherein each of the plurality of ingested spans is associated with a plurality of tags. The method further comprises comparing durations of a set of related traces of the plurality of traces to determine patterns for the plurality of tags and generating a histogram that represents a distribution of the durations of the set of related traces. The method also comprises providing alerts for one or more tags from the plurality of tags associated with traces having a duration above a threshold based on the distribution of the durations.

Abstract: A system to facilitate application logging is described. The system includes a processor and a machine readable medium storing instructions that, when executed, cause the processor to record a system state, perform application logging at a first logging rate, record an occurrence of task failures during the logging, determine a predicted queue size threshold value based on the recorded occurrence of task failures, determine whether that the predicted queue size threshold value is less than an actual queue size and perform the application logging at a second logging rate upon a determination that the predicted queue size threshold value is less than an actual queue size, wherein the second logging rate is greater than the first logging rate.

Abstract: A system for validating data includes a digital touch point associated with an organization having an element and a quality assurance (QA) module for monitoring the digital touch point. The system includes a quality control (QC) algorithm associated with the QA module, which is executed against the new element to determine if one or more discrepancies exist between current data for the new element and expected data for the new element. The system includes a tangible error report that captures one or more discrepancies between the current data and the expected data for the new element. The QA module has the ability to modify the request to call to eliminate the one or more discrepancies.

Abstract: An application processor includes a central processing unit, a root complex that communicates with at least one external device under control of the central processing unit and generates a state change interrupt when an operation state changes, and an interrupt aggregation and debug unit that performs debugging on at least one component associated with the state change interrupt depending on the state change interrupt.

Abstract: A method for detecting, identifying, and mitigating advanced persistent threats in a computer network having one or more computers includes a processor in the computer network: receiving a request to access a resource in the computer network; identifying the request as originating from an application executing on the computer network; executing an anomaly operation to determine a behavior of the application is one of anomalous and not anomalous; executing a privilege operation to determine the request is one of permanently allowed and not-permanently allowed; granting access to the resource for both a non-anomalous-behaving application and a permanently allowed request; and generating and displaying, on a graphical user interface of the computer network, and prompt for either an anomalous-behaving application or a not-permanently allowed request.

Abstract: An information processing apparatus includes a collection unit that collects a first history on a monitoring target device, a display unit that displays a history screen including at least a part of the first history collected by the collection unit, a receiving unit that receives an operator's operation to designate information included in the first history, on the history screen displayed by the display unit, and a generation unit that generates a second history in which the information designated by the operator is concealed, from the first history.

Abstract: Anomaly detection and filtering based on system logs is provided via receiving, at a first time, a first sequence of log entries from a networked system; generating, based on previously observed log entries including the first sequence of log entries, predicted log entries for a second time; receiving, at the second time, a second sequence of log entries from the networked system; determining whether the second sequence is anomalous based on comparing the second sequence with the predicted log entries; in response to determining that the second sequence is anomalous, determining whether the second sequence is noteworthy based on a function entropy of the first sequence and a sentiment polarity of the second sequence; and in response to determining that the second sequence is noteworthy, generating an anomaly report that includes the second sequence and a root cause.

Abstract: An image forming system for forming an image includes a storage unit that stores a log of the image forming system, and a controller to detect an abnormality of the image forming system based on the content of the log stored in the storage unit, and the controller controls to execute a recovery process of the image forming system according to a detection result of the abnormality. In this configuration, the image forming system detects complicated abnormality that occurs according to series of flows.

Abstract: A computing system includes persistent storage containing a plurality of groups of software instructions, wherein each respective group is linked with at least one other group. The computing system also includes a software application configured to perform operations, including determining an expected execution map representing expected paths that are expected to be followed between linked groups of software instructions. The operations also include monitoring interactions of a user with the plurality of groups, and based on the monitoring, determining an observed execution map representing observed paths that the user has followed between the linked groups of software instructions. The operations further include determining a disparity map representing a disparity between the expected paths and the observed paths by comparing the expected execution map to the observed execution map, and displaying the expected execution map, the observed execution map, and/or the disparity map.

Abstract: A system and method for determining enterprise metrics of an enterprise application is described. The system receives a root cause definition that identifies enterprise user metrics and predefined parameters for the enterprise user metrics. The enterprise user metrics identify operation metrics of the enterprise application by users of the enterprise. The system stores the root cause definition in a library of root causes definitions. The system receives a selection of a plan that identifies an operation attribute of the enterprise application. The system identifies a root cause from the library of root causes definitions based on the plan. The system generates a recommendation based on the identified root cause.

Abstract: A mechanism is described for facilitating fabric-based compression and/or decompression of data at computing devices. A method of embodiments, as described herein, includes compressing contents of a data stream traveling through an internal fabric between a source component and a destination component, wherein the contents are compressed on the internal fabric.

Abstract: Systems and methods for contextual event sequence analysis of system failure that analyzes heterogeneous system event record logs are disclosed. The disclosure relates to analyzing event sequences for system failure in ICT and other computerized systems and determining their causes and propagation chains.

Abstract: A compressed flow log can be created from flow log entries. Flow log entries include field values for flow log fields. The entries can be compressed based on tuples (e.g., primary tuple, secondary tuple, tertiary tuple, etc.) specified by tuple definitions that specify the flow log fields in tuple content values. A first primary tuple content value can be based on a primary tuple definition and the field values of a first flow log entry included in flow log entries. A first primary tuple symbol can be associated with the first primary tuple content value. The first flow log entry can be used to create a first compressed flow log entry that includes the first primary tuple symbol. The first compressed flow log entry can be included in the compressed flow log, and the compressed flow log can be transmitted to a flow log consumer.

Abstract: Techniques for memory management may include: allocating, from an allocation pool, buffers for logs used by processing cores; recording messages in the logs for the processing cores; responsive to filling a first buffer included in a first log used to record messages for a first of the plurality of processing cores, allocating a second buffer of the allocation pool for the first log; adding the second buffer to the first list of buffers for the first log; and adding the first buffer, that is included in the first list for the first log, to the allocation pool, wherein after adding the first buffer to the allocation pool, the first buffer is included in the first list of buffers for the first log and also included in the allocation pool. The buffers may be included in a distributed global memory portion of the same computing module as the processing cores.

Abstract: Disclosed is an electronic apparatus including a processor, and a memory configured to store instructions executable by the processor in which the processor is configured to: obtain state data about operations of a plurality of components in the electronic apparatus, identify a state error of a first component among the plurality of components based on the obtained state data, obtain error data about a correlation between the identified state error of the first component and a second component causing the state error among the plurality of components, identify possibility of occurrence of the state error of the first component based on the obtained state data and the obtained error data, and perform an error-related operation for the second component correlating with the state error of the first component.

Abstract: In various embodiments, techniques can be provided to address debug efficiency for failures found on an operational system. The techniques can utilize a real-time trigger to notify a memory device to dump an error log to timely capture all needed information. In response to detecting one or more error conditions associated with the memory device, a system that interfaces with the memory device can generate a trigger signal to the memory device. In response to identifying the trigger signal, the memory device can dump an error log of the memory device to a memory component in the memory device. The error log can later be retrieved from the memory component for failure analysis.

Abstract: Expressly turning tracing on and off at each juncture between code that a developer wants to have traced and other code may reduce trace file size but adds computational cost. Described technologies support selectively tracing a process's execution, with some extra tracing done beyond the code the developer wanted traced, but with significantly reduced computational cost, by reducing the number of trace enablement and disablement operations. A trace controller uses a tracing disablement distance variable whose values indicate the computational distance from trace disablement. A distance variable modifier automatically moves the distance variable closer to a stop-tracing value as the process executes. The amount of extra tracing is balanced against the reduction in trace enablement/disablement operations by tuning thresholds, based on information about routine size and computational cost.

Abstract: A system stores logs representing events that occur in the system based on executable instructions executed by the system, for example, by processes executing within the system or by applications. The system analyzes the logs to determine the root cause of the error or event that resulted in generation of the log. The system clusters logs to determine clusters of logs. The system analyzes logs of each cluster to determine a root cause of errors resulting in logs belonging to the cluster. For any new error log that is received, the system determines the cluster to which the error log belongs and takes action based on the root cause associated with the cluster, for example, sending an alert message or performing automatic remediation.

Abstract: A method and technique for data lifecycle management includes storing in a memory from a monitored system one or more metrics. A fault from the monitored system is identified and a first metric from the one or more metrics as being related to the fault is identified. A lifespan is assigned to the first metric, and the first metric is removed from the memory if the lifespan is over.

Abstract: A method and technique for data lifecycle management includes identifying a fault from a monitored system. A time period window is defined associated with the fault based on a time the fault occurred. One or more metrics that are related to the fault that fall within the time period window are identified from the monitored system and stored in a memory. A lifespan is assigned to the one or more metrics based on the fault, and the one or more metrics are removed from the memory when their associated lifespans are over.

Abstract: Systems, methods, and circuitries are disclosed for protecting data throughout read and write operations. In one example a method includes receiving a plurality of data bits; dividing the plurality of data bits into at least two data blocks; generating respective sets of block check bits for each respective data block using a respective first error code; combining the sets of block check bits to generate a set of signature bits for the plurality of data bits; generating a set of cumulative check bits for the plurality of data bits and the set of signature bits using a second error code; and storing, in a memory location, the plurality of data bits, the set of signature bits, and the set of cumulative check bits.

Abstract: A control system (10) having a hierarchical distributed architecture, the system (10) comprising: a plurality of nodes (12), each node (12) hosting one or more services (18) and a respective node agent (22); a communications bus providing communication between nodes (12); and a system agent (24) hosted on one of the plurality of nodes (12), the system agent (24) being configured to monitor a lifecycle state of the system (10); wherein each node agent (22) is configured to transmit data relating to a state of its respective node (12) and a respective state of the or each service (18) hosted on its respective node (12) to the system agent (24), thereby enabling the system agent (24) to monitor the lifecycle state of the system (10). A vehicle (46) comprising said control system (10).

Abstract: An information handling system embedded controller does not initiate a chipset having secure execution of chipset firmware unless the chipset firmware validates against error correcting checksums inserted into the embedded controller firmware. Comparing checksums calculated from chipset firmware against expected checksum values for the chipset firmware prevents secure chipset initiation failure due to bit errors associated with chipset firmware storage in flash memory.

Abstract: Ad hoc private localization of service instances of a global service provided via hybrid cloud computing environment. In-memory and/or container image-based provisioning of a service instance from a public cloud portion to a private cloud portion within a hybrid cloud computing environment is based on context of service usage, pattern of service usage, predicted environmental conditions, and/or subscription-based input.

Abstract: Systems and methods for computer log retrieval are provided. A system can receive a set of query logs, and transform the set of query logs into a query log multivariate time series. The system accesses log multivariate time series of historical logs, and computes and ranks a similarity distance between the query log multivariate time series and each of the log multivariate time series of the historical logs. The system also retrieves a highest ranked set of historical logs as a most similar set of logs compared to the set of query logs.

Abstract: An application runs in a first security zone of a computer system. Trace information generated from running the application is stored in a first security zone. Filtered trace information is generated by removing specified information from the trace information. The filtered trace information is stored in a particular storage location within the first security zone. An adapter application that is running within the first security zone is executable to access the particular storage location and call a second security zone. The adapter application transmits, from the first security zone to a datastore within the second security zone, the filtered trace information stored in the particular storage location. Communication between the first security zone and the second security zone is one-way from the first security zone to the second security zone.

Abstract: A processing system includes a plurality of circuits configured to generate a plurality of error signals. The processing system further includes a plurality of error pads and a fault collection circuit configured to receive the plurality of error signals and to generate a respective combined error signal for each of the plurality of error pads. The fault collection circuit includes a combinational logic circuit configured to generate the combined error signal by selectively routing the plurality of error signals to the plurality of error pads as a function of a set of configuring bits.