Abstract: A method and apparatus for testing a command are provided. The method includes that: when the test platform exists a target command to be sent to a memory, a duration of a deselect command is determined according to a minimum time interval between a target command and each of historical commands and the time when the each of the historical commands is sent and the present time; the target command is sent to the memory after the deselect command.

Abstract: An Integrated Circuit (IC) includes one or more functional hardware circuits, one or more processor cores, a cause-tree circuit, a memory buffer, and an analysis circuit. The processor cores are to handle events occurring in the functional hardware circuits. The cause-tree circuit includes leaf nodes, middle nodes and a root node. The leaf nodes are to collect the events from the one or more functional hardware circuits. The middle nodes are to coalesce the collected events and to deliver the events to the root node. The memory buffer is to buffer a plurality of the events delivered to the root node, so as to trigger the processor cores to handle the buffered events. The buffer analysis circuit is to analyze a performance of the cause-tree circuit based on the events buffered in the memory buffer.

Abstract: A method for data-center management includes, in a data center including multiple components, monitoring a plurality of performance measures of the components. A set of composite metrics is automatically defined, each composite metric including a respective weighted combination of two or more performance measures from among the performance measures. Baseline values are established for the composite metrics. An anomalous deviation is detected of one or more of the composite metrics from the respective baseline values.

Abstract: An administrator agent and local worker agents are provided in nodes of a distributed system to support dynamic tracing of runtime data. Trace profiles are associated with the nodes on which the local worker agents reside. The local worker agents monitor the runtime data for an error, and the administrator agent adjusts the trace profile(s) in response to the error(s). The administrator agent sends the adjusted trace profile(s) to the local worker agents, so as to enable trace output data of traces performed by the nodes to be increased or decreased.

Abstract: Electronic scan circuitry includes a decompressor (510), a plurality of scan chains (520.i) fed by the decompressor (510), a scan circuit (502, 504) coupled to the plurality of scan chains (520.i) to scan them in and out, a masking circuit (590) fed by the scan chains (520.i), and a scannable masking qualification circuit (550, 560, 580) coupled to the masking circuit (590), the masking qualification circuit (550, 560, 580) scannable by scan-in of bits by the decompressor (510) along with scan-in of the scan chains (520.i), and the scannable masking qualification circuit (550, 560, 580) operable to hold such scanned-in bits upon scan-out of the scan chains through the masking circuit (590). Other scan circuitry, processes, circuits, devices and systems are also disclosed.

Abstract: The technology disclosed herein can be used to evaluate system recovery using emulated production systems. In accordance with one example, the technology can involve accessing state data of a target computing device that is in a production environment, the state data can include a performance measurement of a target computing device; updating a configuration of a computing device to adjust a performance of the computing device to correspond to the performance measurement of the target computing device; introduce, by the processing device, a disturbance to the computing device; determining, by the processing device, a performance of the computing device at a time after the introducing the disturbance; and generating performance data indicating an effect the disturbance has on the computing device.

Abstract: The NVDIMM (200) comprises a DRAM (201), a NAND flash memory (202) and a NVDIMM controller (100), the NVDIMM controller (100) controlling the NVDIMM (200) and comprising a DDR controller (101), a NAND flash memory controller (102), a data backup module (103) and a data recovery module (104), and the DDR controller (101) using and enabling DBI. The backup method comprises: reading, by the DDR controller (101), N-bit DQ and 1-bit DBI from the DRAM (201) and sending the same to the data backup module; encoding, by the data backup module (103), the N-bit DQ and the 1-bit DBI into N-bit EDQ according to the values of the N-bit DQ and the 1-bit DBI, and sending the N-bit EDQ to the NAND flash memory controller; and receiving, by the NAND flash memory controller (102), the N-bit EDQ and writing the N-bit EDQ into the NAND flash memory (202).

Abstract: In general, in one aspect, the invention relates to a method for enabling enhanced logging. The method includes obtaining a log associated with a job; determining, using the log, that enhanced logging is to be enabled prior to initiating the job; enabling, in response to the determination, enhanced logging on at least one node, and initiating servicing of the job, after the enabling, on the at least one node.

Abstract: An information handling system may include a processor, a display device communicatively coupled to the processor, and a management controller communicatively coupled to the processor and the display device and configured to, in response to a failure of the information handling system, determine a component of the information handling system as a source of failure, generate a unique failure code associated with the failure, encrypt the unique failure code to generate an encrypted unique failure code, and display the encrypted unique failure code to the display device.

Abstract: An analyzer system inputs parameter values from trace files of a software application into an autoencoder. The analyzer system adjusts weights of the edges between nodes in the autoencoder until reconstruction errors in outputs are minimized. The analyzer system receives a selection of a parameter represented in an autoencoder. In response, the analyzer system identifies hidden layer nodes connected to an output node corresponding to the selected parameter and identifies other output nodes connected to the hidden layer nodes. The analyzer system retrieves weights assigned to edges between the hidden layer nodes and the other output nodes. The analyzer system calculates correlation values between the output node corresponding to the selected parameter and each of the other output nodes and outputs the correlation values. A user can use the correlation values to better direct the root cause analysis.

Abstract: An integrated circuit includes: a debugger; and an interface coupled to the debugger. The interface has: arbitration logic coupled to the debugger; a power processor coupled to the arbitration logic; and a power management network coupled to the power processor. The integrated circuit also includes subsystems coupled to the interface. The debugger is configured to perform debugging operations of the subsystems via the interface.

Abstract: Embodiments of the invention are directed to techniques for detecting anomalous values in data streams using forecasting models. In some embodiments, a computer can receive a value of a data stream comprising a plurality of data values, where the received value corresponds to a time interval and previously received values each correspond to a previous time interval. Models can be selected based on the time interval, where each of the models has a different periodicity. For each of the selected models, the computer may generate a score by generating a prediction value based on the model and generating the score based on the prediction value and the received value. A final score can then be generated based on the scores. Next, a score threshold can be generated. If the final score exceeds the score threshold, the computer may generate a notification that indicates that the data value is an anomaly.

Abstract: A method for error management is provided. The method comprises receiving a message call request regarding an error event generated by a software application. The message call request comprises a message ID associated with an error type. In response to the call request a message cache is searched for the message ID. If the ID is in the cache, an error message associated with the ID is returned. The error message provides a description of the error and suggested remedial action. If the message ID is not in the cache, the error message is fetched from a message repository that contains error messages corresponding to respective message IDs. The fetched error message is loaded into the cache and returned. Message call request data is stored in a metrics repository. The message call request data comprises frequency metrics that describe how often the message ID is received.

Abstract: A distributed system can include a server outside of a clinical environment and a connectivity adapter and a plurality of infusion pumps within the clinical environment. The connectivity adapter can monitor microservices that measure the quality of connectivity adapter's performance. If the performance is below a threshold level, a message indicating poor performance can be sent to the server. The message can be sent when a prior message relating to poor performance has not already been sent within a predetermined time period.

Abstract: A data storage device includes a non-volatile memory device including a memory block having a number of arrays, a number of power regulators, and a controller coupled to the non-volatile memory device. The arrays include a number of memory devices. A first array is determined to be in a non-responsive condition and a power regulator supplying power to the first array is instructed to cycle power to the first array. After the power to the first array has been cycled, a determination is made as to whether the first array is in a responsive condition.

Abstract: The present disclosure relates to systems, methods, and computer readable media for diagnosing and mitigating memory impact events, such as memory leaks, high memory usage, or other memory issues causing a host node from performing as expected on a cloud computing system. The systems described herein involve receiving locally generated memory usage data from a plurality of host nodes. The systems described herein may aggregate the memory usage data and determine a memory impact diagnosis based on a subset of the aggregated memory usage data. The systems described herein may further apply a mitigation model for mitigating the memory impact event. The systems described herein provide an end-to-end solution for diagnosing and mitigating a variety of memory issues using a dynamic and scalable system that reduces a negative impact of memory leaks and other memory issues on a cloud computing system.

Abstract: Examples of systems described herein include a virtualized file servers. Examples of virtualized file servers described herein may support disaster recovery of the virtualized file server. Accordingly, examples of virtualized file servers may support metadata fixing procedures to update metadata in a recovery setting. Examples of virtualized file servers may support hypervisor-agnostic disaster recovery.

Abstract: Process flow graphs are generated from system trace data by obtaining raw distributed trace data for a system, aggregating the raw distributed trace data into aggregated distributed trace data, generating a plurality of process flow graphs from the aggregated distributed trace data, and storing the plurality of process flow graphs in a graphical store. A first critical path can be determined from the plurality of process flow graphs based on an infrastructure design for the system and a process flow graph corresponding to the first critical path provided for graphical display. Certain examples can determine a second critical path involving a selected element of the first critical path and provide the process flow graph for the second critical path for display. Some examples pre-process the aggregated distributed trace data to repair incorrect traces. Other examples merge included process flow graphs into longer graphs.

Abstract: Exemplary systems, methods, and apparatuses migrate tenants between instances in a cloud based computing environment. The exemplary system assigns a dedicated share on multi-tenant cloud computing services instances. The exemplary system further receives performance characteristics for each of the tenants, analyzes the performance characteristics, detects an anomaly in one of the plurality of tenants responsive to analyzing the performance characteristics, and evicts one of the tenants in which the anomaly was detected from the one or more instances. The exemplary system further re-assigns the evicted tenant to a dedicated share on one or more multi-tenant cloud computing services instances other than the instance to which it was assigned before eviction.

Abstract: A method for debugging a software program is provided when the software program is executed on a processor. An asynchronous debug event is detected. The asynchronous debug event is tracked through a data pipeline to the processor. In one embodiment, the asynchronous debug event is acted on only when the processor is ready to consume a data element associated with the asynchronous debug event.