A system can determine performance data for updates created by update creators that execute on devices during a time period, the performance data indicating performance of a group of metrics for a respective update of the updates. The system can determine a first ranking of the update creators for the time period based on the performance data. The system can determine a second ranking of the update creators based on applying a pairwise comparison count of respective rankings of update creators of the first ranking and rankings for time periods prior to the time period. The system can determine whether to publish a first update from a first update creator of the update creators based on a position of the first update creator among the update creators in the second ranking.

Provided is a management system for managing a relation between a database and a volume without installing an agent. A management system manages a relation between a data catalog and a volume of a storage system storing data to be used by the data catalog. A processor of the management system accesses data that is included in the data catalog and that includes authentication information of the volume; detects the number of accesses to the volume in a time range including a timing of the access to the data; and manages the relation between the data catalog and the volume on the basis of the number of accesses.

Systems and methods for quantifying saved time during data entry.

Examples of electronic devices are described herein. In some examples, an electronic device may include a communication interface to receive information from a peripheral device. In some examples, the electronic device may include logic circuitry to determine a target latency tolerance reporting (LTR) value based on the information via a machine learning model.

A method including receiving, from a user device, a user request to access data associated with a web page; generating, by a processor, a first transaction identification; collecting transaction information, the transaction information comprising server-side metrics; integrating, by the processor, the first transaction identification with the transaction information; transmitting, by the processor, the first transaction identification to the user device; receiving, from the user device, client-side data associated with a second transaction identification; integrating, by the processor, the server-side metrics and the client-side data; and analyzing, by the processor, the integrated server-side metrics and the client-side data.

Novel tools and techniques are provided for implementing virtual machine (“VM”) management, and, more particularly, to methods, systems, and apparatuses for implementing VM management using hardware compression. In various embodiments, a computing system might identify one or more first virtual machines (“VM's”) among a plurality of VM's that are determined to be currently inactive and might identify one or more second VM's among the plurality of VM's that are determined to be currently active. The computing system might compress a virtual hard drive associated with each of the identified one or more first VM's that are determined to be currently inactive. The computing system might also perform or continue to perform one or more operations using each of the identified one or more second VM's that are determined to be currently active.

Embodiments of the present disclosure relate to a memory system and an operating method thereof. According to the embodiments of the present disclosure, the memory system may completely scan each of one or more target memory blocks among the plurality of memory blocks, once in each scan period to detect an error in data stored in the corresponding target memory block and may block an attempted second scan of each target memory block in a scan period in which the corresponding target memory block has already been scanned until the scan period is completed.

A supervisory control system provides power management in an electronic device by providing timeout periods for a hardware component to lower levels of the operating system such as a power management arbitrator and/or a hardware interface controller. The power management arbitrator and/or hardware interface controller transition at least a portion of a hardware component to a lower-power state based on monitored activity information of the hardware component. The supervisory control system may further provide wakeup periods to the power management arbitrator and/or a hardware interface controller to determine whether the hardware component should be transitioned to a higher-power state at the end of the wakeup period if the hardware component satisfies a transition condition.

An information processing apparatus includes a processor configured to: acquire signature information indicating whether an application program installed on the information processing apparatus is signed or not; and with the signature information indicating that the application program is not signed, transmit log information indicating an operation log of the application program to an external apparatus.

Embodiments of systems and methods for adapting a log severity level that is applied to log files associated with a target application based on user interaction. In an illustrative, non-limiting embodiment, an adaptive log level control system includes computer-executable instructions for monitoring user interaction with a target application executed on the IHS, identifying a usage pattern of the user interaction, and determining that the usage pattern is indicative of a problem with the target application. The instructions may then adjust a log severity level of log files associated with the target application according to the detected problem.