Abstract: A method includes executing a set of read requests regarding a set of encoded data slices stored in storage units of a storage network, where a data segment is encoded in accordance with a dispersed storage error coding function to produce the set of encoded data slices, and where a decode threshold number of encoded data slices of the set of encoded data slices is needed to rebuild a missing or corrupt encoded data slice of the set of encoded data slices. The method further includes determining, for an encoded data slice, whether an integrity check value substantially matches a known integrity check value. When the integrity check value does not substantially match the known integrity check value, the method further rebuilding the encoded data slice based on the decode threshold number of encoded data slices and storing the rebuilt encoded data slice in the storage units.

Abstract: Methods for reducing errors in calibrated devices comprise detecting outliers, self-checking consistency of measurements, tuning device controls to target values, and absolutely calibrating devices via a first standard and cross-checking the results via a second standard. The first standard may be a calibrated current and the second calibration standard may be a calibrated frequency. A calibrated frequency may be a microwave signal applied to the body of a qubit. Qubit annealing controls can quickly lower and raise the tunnel barrier to measures the oscillation frequency of the qubit between two potential wells.

Abstract: The present disclosure relates to systems, methods, and computer readable media for identifying and responding to a panic condition on a storage system on a computing node. For example, systems disclosed herein may include establishing recovery instructions between a host system and a storage system in responding to a future instance of a panic condition. The storage system may provide an indication of a self-detected panic condition in a variety of ways. In response to identifying the panic condition, the host system may perform one or more recovery actions in accordance with recovery instructions accessible to the host system. This may include performing resets of specific components and reinitializing communication between the host system and storage system in less invasive ways than slower and more expensive conventional approaches for responding to panic conditions on computing nodes.

Abstract: Methods, apparatus, and processor-readable storage media for determining server issues related to software versions using artificial intelligence techniques are provided herein. An example computer-implemented method includes determining one or more server issues, among multiple reported server issues, as being related to one or more software version states; labeling, using at least one clustering algorithm, each of at least a subset of the servers as being associated with at least one of the determined server issues; generating, by processing data pertaining to at least a portion of the labeled servers using artificial intelligence techniques, at least one knowledge base identifying automated actions to be carried out in response to observed data related to the one or more server issues; monitoring metrics across at least a portion of the one or more servers; and performing one or more automated actions based on the monitoring and the at least one knowledge base.

Abstract: Embodiments include cognitive control of runtime resource monitoring scope. Aspects include obtaining historical data for each of a plurality of metrics for a computer system and calculating, based on the historical data, an anomaly relationship score for each of the plurality of metrics. Aspects also include calculating, based on the historical data, a sensitivity score for each of the plurality of metrics and determining a priority score for each of the plurality of metrics based upon a weighted combination of the anomaly relationship score and the priority score. Aspects further include receiving real-time data for each of the plurality of metrics and presenting a subset of the real-time data to a user, the subset created by selecting one or more of the plurality of metrics based on the priority score of each of the plurality of metrics.

Abstract: First-order anomaly scores are received from related anomaly detectors. Each first-order anomaly score indicates a likelihood of an anomaly at a target system. A relatedness measure of the related anomaly detectors is determined, based on the first-order anomaly scores that have been received. A higher-order anomaly score is determined based on the relatedness measure that has been determined. The higher-order anomaly score indicates a likelihood of an anomaly at the target system. An anomaly at the target system is detected based on the higher-order anomaly score.

Abstract: Disks of equal storage capacity in a disk cluster have M*W partitions, where RAID width W=D+P. RAID (D+P) protection groups are implemented on the disks with protection group members stored in individual partitions. An amount of storage capacity equal to the storage capacity of one disk is distributed across multiple disks in spare partitions. The spare partitions may be distributed such that no more than one spare partition resides on a single disk. M may be selected to optimize rebuild latency. The protection group members of a failed disk are rebuilt in the distributed spare partitions and subsequently relocated to a provisional spare drive. The populated provisional spare drive replaces the failed drive.

Abstract: There is disclosed in one example a processor, including: a protected runtime mode (PRM) module to receive a PRM interrupt and to: suspend operation of a software task executing on the processor; save processor state information; place the microprocessor into PRM; access a PRM handler in a designated PRM memory region, wherein the PRM handler comprises a platform specific task; restore the processor state; and resume operation of the software task.

Abstract: Inputs to a system under test (SUT) are modeled as a collection of attribute-value pairs. A set of testcases is executed using an initial set of test vectors that provides complete n-wise coverage of the attribute-value pairs. For each execution of the testcases, for each attribute-value pair, a non-binary success rate (SAV) is computed based on the binary execution results. An attribute is selected in response to a set of success rates corresponding to a set of attribute-value pairs that includes said attribute are all below a predetermined threshold. The set of testcases is executed using another set of test vectors using additional values for the selected attribute. For each execution of the set of testcases, for each attribute-value pair, a second non-binary success rate (SAV?) is recorded. If the predetermined threshold is now satisfied, a user is notified of the additional values for the attribute that were detected.

Abstract: A method and apparatus of a management device that determine a root cause of a device failure is described. In an exemplary embodiment, the management device receives an indication of the device failure for a first device, where the first device is part of a system of a plurality of devices. The management device further applies a set of one or more rules to measure a set of input signals of the first device. if the set of input signals are within a corresponding operating range, the management device marks the first device as failed. Alternatively, if one or more of the set of input signals are outside the corresponding operating range, the management device iteratively determines that a second device of the plurality devices that is coupled to the first devices has at least one output signal that is outside of the corresponding operating range and the input signals of the second device is within the corresponding operating range, and marks the second device as a root cause failure of the first device.

Abstract: A technical problem faced when remotely controlling or debugging electronic devices is that remote control or debugging often requires a direct connection. However, debugging ports are inaccessible on many devices. Technical solutions described herein provide systems and methods for secure communication via existing communication infrastructure (e.g., public instant messenger (IM)), providing various debugging abilities including debugging and file sharing. Technical solutions described herein also provide systems and methods for debugging based on remote device memory state collection and sending for embedded or IoT devices. This solution avoids a hardware debugging connection by using a debugging methodology resident on the device to read and dump the relevant memory, registers, and other device state information in a secure and automated manner.

Abstract: A method is provided to manage economics and operational dynamics of various information technology (IT) systems. A computer collects data indicative of operation of a plurality of hardware components and collects data indicative of operation of a plurality of software components. The computer creates a first qualitative value representing a hardware status of the plurality of the hardware components and a second qualitative value representing a software status of the plurality of the software components. The first and second qualitative values are displayed in graphical form for evaluation by a system operator, and the computer computes a probability of life expectancy for the plurality of hardware components and the plurality of software components based on said first and second qualitative values and utilizing cognitive and artificial intelligence based calculations to determine the probability.

Abstract: A system for testing electrical components comprising a supplier test system operating on a first processor and configured to generate test data for a component and to store the component test data on a block chain. A board level test system operating on a second processor and configured to generate test data for a board and to store the board test data on the block chain. A test tracking system configured to request a first key to access to the component test data and a second key to access the board test data and to store the first key and the second key.

Abstract: Inputs to a system under test (SUT) are modeled as a collection of attribute-value pairs. A set of testcases is executed using a set of test vectors that provides complete n-wise coverage of the attribute-value pairs. For each execution of the testcases, updating, for each execution of the set of testcases, for each testcase, a non-binary success rate (ST) based on the binary execution results. In response to a first success rate corresponding to a particular testcase being below a predetermined threshold, a second set of testcases is generated based on the test vectors. For each testcase, a second success rate (ST?) is computed based on a second set of execution results of a second set of testcases. In response to the second success rate corresponding to the particular testcase being substantially same as the first success rate, a user is notified of a defect in modeling the SUT inputs.

Abstract: Systems and methods for provided for detecting compatible modules for replacing anomalous elements in computing systems. The described technique includes receiving system parameters specifying functionality of a first computing system, and querying a state model using the received system parameters to detect an anomaly within the first computing system. In response to detecting an anomaly in the first computing system based on the state model, the system determines a recovery method based on a recovery-method model and information about the detected anomaly, and selecting, from a tool database, a third-party, system-compatible tool configured to implement the determined recovery method.

Abstract: A method for implementing fault detection includes: instructing, by a detection device, a detected device to configure a detected path and a return path, where the detected path is a path from a first physical port of the detected device to a second physical port of the detected device via a target unit of the detected device, the return path is a path from the second physical port to the detection device, and the target unit is a VNF or an accelerator; sending a detection packet to the detected device through the first physical port; and when receiving the detection packet transmitted through the detected path and the return path, determining that the detected path is not faulty. According to the method, it can be further determined that the path that passes through the VNF or the accelerator is not faulty.

Abstract: The present invention provides an information processing apparatus having a user interface, a non-volatile memory that stores a loading program, and another non-volatile memory that stores a boot program and a notifying program for notifying an error. The information processing apparatus executes the loading program at startup to verify the boot program and activates the notifying program based on a detection of an alteration of the boot program to notify an error via the user interface.

Abstract: Compatibility testing systems and methods are disclosed that provide scalable validation testing of systems and devices. In examples, systems and devices are identified to provide fundamental information about driver operations and driver extensions functionality. The identification allows systems and devices having particular similarities to be grouped in object groups. Compatibility tests are tagged as corresponding to the identifiable systems, devices, and/or object groups, compatibility testing system and methods map test sets specifically tailored to systems and devices as identified by their driver operations and driver extensions functionality. The tailored test sets include tests that ensure compatibility and through optimized test-to-device target mapping, an optimal set of testing set is discovered and scheduled to run. Strategically controlling the amount of testing distributed and executed increases compatibility testing speed and scalability.

Abstract: Techniques for performing a restoration may include: creating a first snapshot of a primary file system at a first point in time; and at a second point in time, performing first processing to restore at least a portion of the primary file system from the first point in time. The first processing may include: creating a second snapshot of the first snapshot of the primary file system; exporting the second snapshot as a first target device; mounting the first target device as a read-write checkpoint file system; performing file system consistency processing on the read-write checkpoint file system; and subsequent to performing the file system consistency processing on the read-write checkpoint file system, restoring at least a portion of the primary file system from the second snapshot using the read-write checkpoint file system. The file system consistency processing may include correcting metadata inconsistencies of the read-write checkpoint file system.

Abstract: A method of clustering call stacks from a memory dumps resulting from out-of-memory errors includes accessing a memory dump resulting from an out-of-memory error; identifying call stacks in the memory dump that are associated with the out-of-memory error; accessing call stacks from one or more other memory dumps that were determined to be associated with other out-of-memory errors; generating clusters of call stacks based on a similarity score; and providing a cluster for an analysis of the out-of-memory error.