Performance testing a data storage system includes recording operating parameters and performance data as the data storage system executes performance tests over a test period, the performance data including one or more measures of a performance characteristic (e.g., latency) across a range of I/O operation rates or I/O data rates for each of the performance tests. Subsets of recorded operating parameters and performance data are selected and applied to a machine learning model to train and use the model, and the model provides a model output indicative for each performance test of a level of validity of the corresponding performance data. Based on the model output indicating at least a predetermined level of validity for a given performance test, the performance data for the performance test are incorporated into a record of validated performance data for the data storage system, usable for benchmarking, regression analysis, hardware qualification, etc.

A signal tuning method for a peripheral component interconnect express (PCIe) includes assigning a first signal setting to the PCIe to generate a first PCIe signal, and tuning a link by the first PCIe signal, and determining whether to assign a second signal setting to the PCIe according to a signal status of the link, for generating a second PCIe signal to tune the link; wherein the PCIe is connected to a plurality of electronic devices via the link.

A method by a network device for dynamically detecting emotional states of a user operating a client end station to interact with an application. The method includes receiving information regarding user inputs received by the client end station from the user while the user interacted with the application during a particular time period and determining an emotional state of the user based on analyzing the information and information regarding user inputs received by the client end station from the user while the user interacted with the application during one or more previous time periods that together with the particular time period form a time window.

An input/output store instruction is handled. A data processing system includes a system nest coupled to at least one input/output bus by an input/output bus controller. The data processing system further includes at least a data processing unit including a core, system firmware and an asynchronous core-nest interface. The data processing unit is coupled to the system nest via an aggregation buffer. The system nest is configured to asynchronously load from and/or store data to at least one external device which is coupled to the at least one input/output bus. The data processing unit is configured to complete the input/output store instruction before an execution of the input/output store instruction in the system nest is completed. The asynchronous core-nest interface includes an input/output status array with multiple input/output status buffers. The system firmware includes a retry buffer and the core includes an analysis and retry logic.

Example implementations relate to application-specific policies for failing over from an edge site to a cloud. When an application becomes operational within an edge site, a discovery phase is performed by a local disaster recovery (DR) agent. I/O associated with a workload of the application is monitored. An I/O rate for data replication that satisfies latency characteristics of the application is predicted based on the incoming I/O. Based on results of tests against multiple clouds indicative of their respective RTO/RPO values, information regarding a selected cloud to serve as a secondary system is stored in an application-specific policy. The application-specific policy is transferred to a remote DR agent running in the selected cloud. Responsive to a failover event, infrastructure within a virtualized environment of the selected cloud is enabled to support a failover workload for the application based on the application-specific policy.

Example implementations relate to chipset reconfiguration based on device detection. For example, a method includes detecting, by a computing system, that a storage device is connected to an input/output (I/O) interface of the computing system, and reconfiguring a chipset of the computing system based on the detected storage device. The method also includes performing a power cycle on chipset standby power to trigger a chipset configuration reload.

An information processing device includes a first port and a processor coupled to the first port and configured to transmit, via the first port, a first signal to a first device coupled to the first port, cause a second device coupled to the first port to determine whether a failure is present in the first port when the information processing device does not receive a first response signal in response to the first signal, and determine that the failure is present in the first device when the second device does not determine that the failure is present in the first port.

Systems, devices or methods provide for control of sensitive data in a computer system that includes at least one central server communicatively-coupled to a plurality of client computers. A particular method relates to the execution of software code on the at least one central server to monitor data communications of the plurality of client computers for sensitive data. A subset of the data communications is restricted when sensitive data is detected. Configuration data is provided to each of the plurality of client computers. Software code is executed on each of the plurality of client computers to detect accesses to sensitive data by one or more applications running on a client computer. Actions of the one or more applications running on a client computer are monitored to determine whether or not a trigger event has occurred. In response to determining that the trigger event has occurred, a notification is sent.

A process includes determining, by an operating system agent of a computer system, a first profile that is associated with an input/output (I/O) peripheral of the computer system. The first profile is associated with an error register of the I/O peripheral, and the first profile represents a configuration of the computer system that is associated with the I/O peripheral. The process includes, responsive to a notification of an error being associated with the I/O peripheral, determining, by the operating system agent, a second profile that is associated with the I/O peripheral. The second profile is associated with the error register. Moreover, responsive to the notification of the error, the process includes comparing, by a baseboard management controller of the computer system, the second profile to the first profile. Based on the comparison, the process includes determining, by the baseboard management controller, whether the error is attributable to a driver for the I/O peripheral.

It is possible to reduce analysis cost of a management system.

The management system includes a CPU and manages one or more storage devices that provide, to a higher-level device, one or more volumes for inputting and outputting data. The CPU is configured to collect performance information of the volume from the storage device at a predetermined first time interval and detect a QoS violation of the performance information of the volume at a second time interval longer than the first time interval.