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