Abstract: Apparatus and Method for Fault Handling of an Offload Transaction. For example, one embodiment of a processor comprises: a plurality of cores; an interconnect coupling the plurality of cores; and offload circuitry to transfer work from a first core of the plurality of cores to a second core of the plurality of cores without operating system (OS) intervention, the work comprising a plurality of instructions; the second core comprising first fault management logic to determine an action to take responsive to a fault condition, wherein responsive to detecting a first type of fault condition, the first fault management logic is to cause the first core to be notified of the fault condition, the first core comprising second fault management logic to attempt to resolve the fault condition.

Abstract: A system, apparatus, and method for estimating remaining useful life of a bearing are provided. The method includes receiving a request for analyzing a defect in the bearing from a source. The request includes operational data associated with the bearing. An impact of the defect on the bearing is monitored over a period of time. A time period during which the impact of the defect on the bearing is higher than a threshold range is determined using a machine learning model. A severity of the impact associated with the defect is computed during the time period. A remaining useful life of the bearing is determined based on the severity and the operational data during the time period.

Abstract: A memory controller includes a fault predictor which predicts a fault which causes an error occurring in a memory device, an error correction code (ECC) manager which classifies a type of the fault based on the predicted fault, and a plurality of ECC engines which perform ECC in parallel depending on the classified type of the faults. The fault predictor includes a memory error profiler which receives raw data related to the error and processes the raw data into an error profile that is data available for machine learning, and a memory fault prediction network which receives the error profile as an input, performs the machine learning using the error profile, and predicts the fault which causes the error.

Abstract: Apparatuses and methods for assessing the recovery viability of backup databases are provided. Some embodiments may include identifying a selected backup database set from the plurality of backup databases. In some embodiments, each backup database in the selected backup database set is associated with a database in a corresponding database set. Some embodiments may include triggering a first backup configuration check operation for each database in the corresponding database set. Some embodiments may include triggering a restore verification operation for each database in the selected backup database set. Some embodiments may include generating a recovery point objective score for each database in the selected backup database set. Some embodiments may include causing updating of a recovery point objective score interface based on the recovery point objective score for each database in the selected backup database set.

Abstract: Techniques for predictive system remediation are disclosed. Based on attributes associated with applications of one or more system-selected remedial actions to one or more problematic system behaviors in a system (e.g., a database system), the system determines a predicted effectiveness of one or more future applications of a remedial action to a particular problematic system behavior, as of one or more future times. The system determines that the predicted effectiveness of the one or more future applications of the remedial action is positive but does not satisfy a performance criterion. Responsive to determining that the predicted effectiveness is positive but does not satisfy the performance criterion, the system generates a notification corresponding to the predicted effectiveness not satisfying the performance criterion.

Abstract: Systems and methods for providing application services to a customer are provided. Customer-managed computing resources on a customer network may facilitate the provision of application services to a client device coupled to the customer network. Application instances providing the application services may execute either on the customer-managed computing resources or on computing resources managed by the service provider. Application services may be rendered to the customer while sensitive customer data maintains residency on storage resources on the customer network. Application instances may receive requests for services from the customer, and generate corresponding requests for particular data of the sensitive customer data. These requests may be conveyed to the endpoints on customer network capable of fulfilling the requests.

Abstract: A computing device for configuring a redundant system includes: a detection unit configured to detect another computing device newly added to the redundant system during operation of the computing device; and a construction processing unit configured to execute construction processing for constructing a redundant configuration with the other computing device.

Abstract: Software code is tested to determine relative performance of the software code. Successfully executing a test may be used to flag problems in a code repository to be corrected or criteria for accepting code for acceptance to the repository. To further evaluate test results, the test may be run several times on the same code version to determine a test result stability score describing how the test results may vary in different executions, such as a frequency that the code passes the test. Based on the score, additional tests may be run to further refine test result stability score. To evaluate time-variance of testing, when a code version fails a test, a previous version of the code may be run with the same test and the results compared to determine if a new regression was introduced.

Abstract: A deterioration prediction device for a magnetic material is provided with: a magnetic sensor configured to detect a magnetic field affected by a magnetic body (W) as an inspection target and outputs a sensor signal; a deterioration score calculation means (51) configured to calculate a deterioration score indicating the degree of deterioration of the magnetic body based on the sensor signal; a deterioration score storage unit (41) configured to store the deterioration score; a deterioration prediction model storage unit configured to store a deterioration prediction model indicating a change in the degree of deterioration; a deterioration prediction model update means (52) configured to update the deterioration prediction model to acquire an updated deterioration prediction model; and a deterioration score prediction means (53) configured to estimate a future deterioration score.

Abstract: Diagnosing vehicle anomalies efficiently is dependent upon the expertise of the repair technician, but also the availability of resources. As vehicles have become increasingly computerized, repair technicians have become increasingly specialized in a smaller number of vehicle models. Dealerships and large repair shops have an advantage in that they can more easily afford to obtain specialized electronic tools. However, repair technicians in smaller repair shops often are more skilled, but are unable to afford access to advanced electronic tools and software. A system for using remotely located resources to improve the diagnosis and resolution of vehicle anomalies, including the use of expert technicians and vehicle-specific databases, is disclosed.

Abstract: A method for providing an analytical artifact used for development and/or analysis of an investigated technical system of interest comprised of components having associated machine readable functional descriptions including port definitions and component failure modes processed to generate automatically the analytical artifact in response to at least one applied system evaluation criterion.

Abstract: We are in a digital revolution. Over 85% of an organization's value is in digital form. Digital assets are systems, processes, data and technologies. Cyber exposures are quantified and cyber risks are scored. A graphical user interface visualizes a cyber-risk engine that quantifies cyber risk in alignment to how insurance companies pay claims, using flexible and multiple cyber risk algorithms that are prescribed in relationship to a customer's risk requirements. Digital asset cyber risk ratings are measured to increase cyber resiliency. A cyber risk management platform automates business processes across each cybersecurity function that provides data from near-real time cybersecurity tools for participants to reduce cyber risk back to acceptable risk tolerances and improve cyber resiliency.

Abstract: Provided are mechanisms for promptly or gradually migrating data from a read-only disk in a storage system to a replacement disk, where, during gradual migration, data is migrated when it is requested of the read-only disk.

Abstract: Database replay log compaction verification includes identifying at least one replay log of a table that includes first database manipulation commands; obtaining a compacted replay log that includes second database manipulation commands that are insert commands, where an insert command includes a column and a corresponding value; replaying, to obtain a first replay result, the first database manipulation commands; replaying, to obtain a second replay result, the second database manipulation commands; and, responsive to one row of the first replay result not matching a corresponding row of the second replay result, sending a notification including a non-match. Replaying the first database manipulation commands includes identifying condition columns of the table; responsive to the condition columns not including the column, obtaining a row corresponding to the insert command, where the row includes a modified value of the corresponding value of the column; and adding the row to the first replay result.

Abstract: Embodiments of the invention provide a method and system for determining an error threshold value when a vector distance based error measure is to be used for machine failure prediction. The method comprises: identifying a plurality of basic memory depth values based on a target sequence to be used for machine failure prediction; calculating an average depth value based on the plurality of basic memory depth values; retrieving an elementary error threshold value, based on the average depth value, from a pre-stored table which is stored in a memory and includes a plurality of mappings wherein each mapping associates a predetermined depth value of an elementary sequence to an elementary error threshold value; and calculating an error threshold value corresponding to the target sequence based on both the retrieved elementary error threshold value and a standard deviation of the plurality of basic memory depth values.

Abstract: According to at least one embodiment, a failure prediction server includes an interface, a memory, and a processor. The interface is configured to communicate with equipment including a component that deteriorates over time. The memory is configured to store measurement data acquired from the equipment. The processor is configured to set a monitoring start condition for failure prediction in the corresponding equipment based on the measurement data acquired as initial data from the equipment, accumulate the measurement data acquired from the equipment in the memory after the monitoring start condition is satisfied, and predict a failure of the component based on the measurement data accumulated in the memory.

Abstract: A semiconductor device including a capacitor, with a memory film isolating a first electrode from a contact, formed over a transistor and methods of forming the same are disclosed. In an embodiment, a semiconductor device includes a gate stack over a semiconductor substrate; a capacitor over the gate stack, the capacitor including a first electrode extending along a top surface of the gate stack, the first electrode being U-shaped; a first ferroelectric layer over the first electrode; and a second electrode over the first ferroelectric layer, a top surface of the second electrode being level with a top surface of the first ferroelectric layer, and the top surface of the first ferroelectric layer and the top surface of the second electrode being disposed further from the semiconductor substrate than a topmost surface of the first electrode.

Abstract: The selection of an optimal restore instance type based on a customer's speed/cost tradeoff resolution is disclosed. Aspects of the anticipated completion time to complete the recovery and completion cost to perform the recovery may be extrapolated based on a baseline or test recovery and/or actual recovery times and costs. An automated restore activity may be performed on a baseline test VM of a predefined size using different restore instance types. An optimal restore instance type is used to form worker VMs that perform the recovery operations.

Abstract: Methods, computer program products, and/or systems are provided that perform the following operations: obtaining data indicative of a node failure; obtaining data associated with nodes and pods started on each node; generating a causation score for each pod associated with a failed node, wherein each pod associated with the failed node is designated as a candidate pod for the node failure; determining pod rescheduling for each candidate pod associated with the failed node based, at least in part, on a pod ranking of the causation score for each pod; and providing the pod rescheduling to a node cluster to restart each pod associated with the failed node.

Abstract: A Test Wrapper and associated Test Access Mechanism (TAM) architecture for facilitating testing of IP blocks integrated on a System on a Chip (SoC). The TAM architecture includes a Test Controller and one or more Test Wrappers that are integrated on the SoC proximate to IP blocks. Test data and commands corresponding to input from an external tester are packaged by the Test Controller and sent to one or more Test Wrappers via an interconnect fabric. The Test Wrappers interface with one or more IP test ports to provide test data, control, and/or stimulus signals to the IP blocks to facilitate circuit-level testing of the IP blocks. Test results for the circuit-level tests are returned to the Test Controller via the fabric. Test Wrappers may be configured to pass through interconnect signals, enabling functional testing of IP blocks to be facilitated via test packages and test results transmitted between the Test Controller and the IP blocks via the fabric.

Abstract: A “Compatibility Tester” extracts observable behaviors from different system implementations (e.g., software, operating systems, device drivers, hardware interfaces, etc.), then performs compatibility testing via comparisons of the extracted behaviors. Traces (e.g., bus level signals between controllers and hardware devices or commands between software components) representing observable behaviors of different implementations of a system are captured. Temporal and structural rules are then mined from these traces. The mined rules (or a model constructed from those rules) are used by a “Rule Checking” process that determines whether reference rules (mined from a known compatible system) are compatible with rules mined from test traces of a second system. Invalid rules are flagged as behavioral compatibility bugs.

Abstract: A multi processor computing system managing tasks based on the health index of the plurality of processors and the priority of tasks to be scheduled. The method comprise receiving the tasks to be scheduled on the computing system; preparing a queue of the tasks based on a scheduling algorithm; computing a health index value for each processor of the computing system; and scheduling the tasks on processors based on the health index value of the processors. A task from a processor with a lower health index may be moved to an available processor with a higher health index.

Abstract: An integrated circuit includes a memory having an address space and a memory controller coupled to the memory for accessing the address space in response to received memory accesses. The memory controller further accesses a plurality of data elements in a first portion of the address space, and reliability data corresponding to the plurality of data elements in a second portion of the address space.

Abstract: A network device is configured to receive information from a plurality of device. The network device is configured to further analyze the information and determine that a performance or fault issue exists relating to operation of a device. The network device is configured to further send first information to a user device. The user device is to receive an instruction on eliminating the performance or fault issue. The network device is configured to further receive second information to resolve the performance of fault issue relating to the operation of the device; and send a notification to resolve the performance or fault issue relating to the operation of the device.

Abstract: In an embodiment of the invention an application provider may include “tracing elements” in a target software application. While working with the application the trace elements are detected and provide a “baseline trace” indicating proper application execution. The provider then supplies the application, which still includes the trace elements, and the baseline trace to a user. The user operates the application to produce a “real-time trace” based on the application still having trace elements that produce trace events. A comparator then compares the baseline and real-time traces. If the traces are within a pre-determined range of each other the user has a level of assurance the software is operating correctly. If the level of assurance is low, an embodiment may trigger a hardware interrupt or similar event to prevent further execution of software. Other embodiments are described herein.

Abstract: A method receiving a first alert indicating a fault associated with a first node of a plurality of nodes. The method further includes determining a first value indicating a measure of reliability for the first node based on an amount of first node downtime associated with the first alert and a severity of the first alert.

Abstract: Re-arranging data handling in a computer-implemented system that comprises a plurality of existing physical entities. At least one reliability rating is assigned to each of various existing physical entities of the computer-implemented system; and in response to change. Reverse predictive failure analysis uses the assigned reliability ratings to determine cumulative reliability rating(s) for at least one arrangement of the system. Data handling is re-arranged with respect to at least a portion of the existing computer-implemented system to provide a designated cumulative reliability rating.

Abstract: The present invention is related to systems and methods for adaptive parameter modification in a data processing system.

Abstract: A method, apparatus and product. The method comprising automatically determining an abstract CSP based on a formally defined problem having interconnected sub-problems, wherein the abstract CSP corresponds to the problem, wherein the abstract CSP has a reduced complexity in comparison to a CSP representing the problem, wherein the abstract CSP captures the interconnection between the sub-problems and reduces the details of each sub-problem, wherein the abstract CSP comprises constraints over variables, wherein each variable having an associated domain; and repeatedly: (1) propagating constraints of the abstract CSP to reduce domains of the abstract CSP; (2) selecting a sub-problem to solve; (3) solving the sub-problem; and (4) updating the abstract CSP with values in accordance with the solution of the sub-problem. Whereby, a solution to the formally defined problem is determined based on the solutions to the sub-problems.

Abstract: A method, computer system, and computer program product for scheduling a computing job at a data center. The method may include receiving a computing job for a data center, determining an operating temperature for a plurality of system components in the data center, assigning a weighting factor for each system component, and scheduling an execution of the computing job using a selected system component, at least in part based upon the weighting factor for that system component where the weighting factor is based upon at least an operating temperature for the system component and an operational lifespan for that system component at that operating temperature.

Abstract: A test system for a managed cloud computing environment may have a management system that may recruit devices in the cloud and outside the cloud to perform a test on a cloud based application. Each device may execute an agent that connects the device to several cloud services for messaging, data collection, and executable code storage. The management system may identify and gather the devices, then cause the devices to execute a test by sending commands through the messaging service. The devices may access executable code for the specific tasks of a test through the code storage service, and as the devices complete tasks for the test, the devices may publish results in the data collection service. The test system enables any type of scenario to be implemented, including operations that can only be performed inside and outside the managed cloud environment.

Abstract: Disclosed is a fault prediction system and method that uses non-fatal event data received from a terminal to make predictions concerning future fatal faults for the terminal. A complex fault pattern associated with a fault is applied to the non-fatal event data to predict the fault. A corrective action is provided for each predicted fault and historical data is used to predict a time to the predicted fault to govern the type of service response to create to prevent the fault.

Abstract: An error injection module for injecting errors into an ECC memory selects a target address associated with the ECC memory, selects an error injection pattern, and sets a redirect address of the scrubber to the target address. During an injection mode of the scrubber, the error injection module injects the error injection pattern into the target address of the ECC memory with the scrubber.

Abstract: A system and a computer program product for executing a method to prevent failure on a server computer due to internally and/or externally induced shock and/or vibration. The method includes acquiring, by at least one sensor, analog acceleration data of components in a server computer. The data is then converted to digital format and stored within a motor drive assembly processor memory unit. The processor analyzes the stored data for existence of machine degradation. In response to detecting the existence of machine degradation, the motor drive assembly processor initiates remediation procedures. The remediation procedures include controlling rotating speed of moving devices or performing a complete system shut down.

Abstract: A computer-implemented method of verifying logic in a simulation-based behavioral latch model by performing actions including: inserting a value checking module in the behavioral latch model, the value checking module connected to one of a set of latches outside of a scan chain within the behavioral latch model; comparing a value of the one of the set of latches outside of the scan chain with a delta value for the one of the set of latches outside of the scan chain; and providing an error message in response to determining the value and the delta value are distinct.

Abstract: A method and system for determining the accuracy of a mesoscale weather model comprising at least one processor having at least one input for inputting a preexisting weather model and initial weather data comprising surface level and upper air temperatures and wind conditions, and actually measured surface level and the upper-air level weather conditions; the at least one processor operating to use the mesoscale weather model to generate output data comprising forecasted temperatures, wind conditions, and predicted weather conditions; the at least one processor operating to compare the output data to actually measured data obtained when same or similar initial weather data were present and subsequent resulting temperatures, wind conditions and weather conditions were measured; and the at least one processor operating to generate an accuracy rating reflecting the deviation of temperature, wind conditions and weather conditions predicted by the mesoscale weather model as compared to those actually measured.

Abstract: An amount of a resource, such as bandwidth, needed to successfully accomplish a target Recovery Point Objective (RPO) is estimated in a data processing environment giving two or more physical or virtual data processing machines. Time-stamped samples of a usage metric for the resource are taken over a usage period. These samples are later accessed and time aligned to determine an average usage metric at defined intervals. An expected tolerance for RPO failure allows determining a first assumed amount of the resource available to achieve a target RPO that is less than might otherwise be expected. These steps can be repeated for other expected replication failure tolerances to allow a risk versus resource available trade off analysis.

Abstract: Systems and methods are disclosed for handling unclean shutdowns for a system having non-volatile memory (“NVM”). In some embodiments, the system can leverage from information obtained from index pages in order to efficiently reconstruct logical-to-physical mappings after an unclean shutdown event. In other embodiments, the system can reconstruct logical-to-physical mappings by leveraging from context information stored in a NVM. In further embodiments, context information can be used in conjunction with index pages to reconstruct logical-to-physical mappings after an unclean shutdown.

Abstract: A pseudo random bit stream generator is disclosed which has a fully programmable pseudo random polynomial up to the supported width of the CSRs, fully programmable tap selection for providing any specified combination of generator state taps, and fully programmable parallel sequence generation which determines the number of sequential bits calculated and how much the sequence generator advances per clock.

Abstract: A communication method transmits a detection signal including a valve ID and detection information, receives the detection signal, performs error detection on the valve ID and detection information, and uses the valve ID and detection information when there is no error. The communication method generates third data corresponding to the detection information in accordance with a predetermined rule to increase redundancy of the detection information, generates computed data by performing an exclusive disjunction logic operation with the valve ID and third data, transmits the detection signal that includes the computed data and detection information, receives the detection signal, retrieves the third data corresponding to the detection information from the detection information, restores the valve ID by performing an exclusive disjunction logical operation with the computed data and the third data, and determines whether a restored valve ID conforms to a stored first data.

Abstract: A component in a graph-based computation having data processing components connected by linking elements representing data flows is updated by receiving a rule specification, generating a transform for transforming data based on the rule specification, associating the transform with a component in the graph-based computation, and in response to determining that a new rule specification has been received or an existing rule specification has been edited, updating the transform associated with the component in the graph-based computation according to the new or edited rule specification. A computation is tested by receiving a rule specification including a set of rule cases, receiving a set of test cases, each test case containing a value for one or more of the potential inputs, and for each test case, identifying one of the rule cases that will generate an output given the input values of the test case.

Abstract: A content provider computing device that transmits content to receivers at scheduled air times receives information regarding conditions relating to the transmissions. The computing device also receives data regarding content that a receiver will record. The computing device evaluates the information and compares it with the data to determine that there is a risk of interrupted transmission. As a result, the computing device transmits the content to the receiver prior to the scheduled air time. The conditions may include weather conditions, power outage conditions, and/or any other conditions that may affect transmission. In various implementations, the computing device may include content controls prior to transmission that prevent the content from being accessed prior to specified times. In some cases, the content control may prevent all access. In other cases, the content control may prevent some kinds of access to the instance of content prior to particular times and allow others.

Abstract: In a method for testing serial attached SCSI (SAS) ports of a server using a computing device, the computing device connects to an oscilloscope and a mechanical arm that is equipped with a test fixture having a probe. The mechanical arm controls the probe to be plugged into one of the SAS ports. The method adjusts an intensity grade of the SAS signals through the SAS port, and controls the SAS port to generate a SAS signal corresponding to the intensity grade. The test fixture obtains the SAS signal from the SAS port, and the oscilloscope measures test parameters of the SAS signal. The method analyzes values of the test parameters to find an optimal SAS signal, determines an intensity grade of the optimal SAS signal as a driving parameter of the SAS port, and accordingly generates a test report of the SAS ports.

Abstract: A debugging method includes: modifying a fault handling function address corresponding to a page attribute fault in an interrupt descriptor table of a system processor to a user-defined fault handling function address; obtaining current information when a designated page attribute fault occurs in a target program; storing the current information into a virtual execution buffer corresponding to a current thread; pushing the current information in the buffer into a stack; determining whether an extended instruction pointer of the target program matches a preset breakpoint address of a faulty page; if the matching succeeds, interacting with a user; otherwise, copy-constructing an instruction, pointed to by the extended instruction pointer of the target program, to the virtual execution buffer corresponding to the current thread; and popping the current information out of the stack, executing the instruction in the buffer, and repeating the determination about whether the address matches the preset breakpoint add

Abstract: Disclosed are an apparatus and method for writing data based on a drive state. In one embodiment, a method may comprise receiving a command to store data to a first area of a data storage device, detecting whether the data storage device is in a first state indicating a lowered write reliability, and writing the data to a second area when the first state is detected, the second area having a higher write reliability than the first area. In another embodiment, an apparatus may comprise a processor configured to receive a command to write data to a first area of a data storage device, detect whether the data storage device is in a first mode indicating a reduced writing reliability relative to a second mode, and write the data to a second area of the data storage device when the first mode is detected.

Abstract: Methods and systems are provided for computer software testing using test suite data. A method may include defining a plurality of testing goals and a testing strategy for the code of the software application, determining objects under test within said code of a software application, designing test cases and test suites for said defined testing strategy, defining test categories for said designed test suites, defining a test execution sequence for said designed test suites and said test categories, defining whether a test execution sequence shall continue or stop after an error in a test object or a fail event in the test system, based on the results of the previous steps, parametrizing a test automation framework with the test suites, running the test automation framework on said code of a software application, and analyzing the results obtained from running the test automation framework on said code of a software application.

Abstract: A first module calculates a failure occurrence risk index of each data storage area address. A second module calculates a power saving index of each data storage area address. A third module calculates an access speed index per unit data volume necessary to access each data storage area address. A fourth module generates a distribution table that represents the failure occurrence risk index, the power saving index, and the access speed index for each candidate address, with respect to data to be distributed. A fifth module selects a candidate address in the distribution table such that the power saving index and the access speed index meet restricting conditions and the failure occurrence risk index is minimized, and distributes the data to the candidate address.

Abstract: In a duplex configuration of stream data processing, all window operations can be used without stopping the process when adding a standby system. The time when the standby system server is added is stored as the reproduction time, and data copied from the data generated at or after the reproduction time is transmitted to the standby system. While the data processing in the in-use system is continued, changes in the execution state which occur in operators holding execution state at or after the reproduction time are recorded. The execution states are copied to the standby system for each operator in parallel with the data processing. At this time, the execution states of the operators at the reproduction time are reproduced from the execution states of the operators when the copy is performed and the record of the changes of the execution states, and the reproduced execution states are copied.

Abstract: A method and system for testing a software application. A description of a test suite for testing the software application being tested (ABT) is inserted into a test database. The ABT is invokes multiple external software applications during execution of a test script of the test suite. Each external application invoked by the ABT is replaced by a corresponding simulator during execution of the test script. Output data to be returned to the ABT by each invoked simulator is inserted into the test database, after which each test script of the test suite is executed. The executing includes: sending a request, by the ABT to each simulator invoked in each test script, for requested data; and receiving, by the ABT, the requested data from each simulator invoked in each test script. The received requested data includes the output data that had been inserted into the test database.

Abstract: Systems for helping identify faults on a bus, as well as to determine the topology of a bus network, are disclosed. A system according to one embodiment includes a bus interface for connecting to a bus and a switch coupled to the bus interface, the switch configured to alternate between an open state and a closed state. The system is connected to the bus via the bus interface when the switch is in the closed state, and the system is disconnected from the bus via the bus interface when the switch is in the open state.