METHODS AND SYSTEMS FOR MINING DATACENTER TELEMETRY DATA

摘要

This disclosure is directed to systems and methods for mining streams of telemetry data in order to identify virtual machines (“VMs”), discover relationships between groups of VMs, and evaluate VM performance problems. The systems and methods transform streams of raw telemetry data consisting of resource usage and VM-related metrics into information that may be used to identify each VM, determine which VMs are similar based on their telemetry data patterns, and determine which VMs are similar based on their patterns of resource consumption. The similarity patterns can be used to group VMs that run the same applications and diagnose and debug VM performance.

主权项

1. A data-processing system comprising:
one or more processors; one or more computer-readable media; and a routine stored in the computer-readable media that when executed on the one or more processors,
collects streams of raw telemetry data, each stream composed of metric data associated with a virtual machine of a set of virtual machines;generates data matrices from the streams of telemetry data, each data matrix composed of order statistics that represent features of the virtual machines in epoch time intervals;identifies groups of virtual machines based on the data matrices; andgenerates a fingerprint for each virtual machine in the group of virtual machines, the fingerprint identifies performance characteristics of each virtual machine.