Splunk Inc.
Systems and methods for automatically characterizing performance of a hypervisor system
Last updated:
Abstract:
Techniques promote monitoring of hypervisor systems by presenting dynamic representations of hypervisor architectures that include performance indicators. A reviewer can interact with the representation to progressively view select lower-level performance indicators. Higher level performance indicators can be determined based on lower level state assessments. A reviewer can also view historical performance metrics and indicators, which can aid in understanding which configuration changes or system usages may have led to sub-optimal performance.
Status:
Grant
Type:
Utility
Filling date:
28 Apr 2017
Issue date:
15 Sep 2020