Kibana
MFLib uses Kibana to visualize metrics and logs gathered by ELK. The Measurement Framework (MFLib) uses Kibana to access and...
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Measurement Framework API (MFlib)
The Measurement Framework API helps experimenters collect information about their experiment.
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Visualizing Measurement Graphs in FABRIC JupyterHub
As a part of the Measurement Framework API, the Measurement Framework Visualization (MFVis) class enables experimenters to visualize measurement graphs... -
Timestamp Used By the Measurement Framework
The measurement framework runs a list of services that collect data from nodes in a Fabric slice. The collected data... -
MFlib Overview
The Measurement Framework library (MFlib) is used to automatically measure the performance of a user’s experiment (slice) and includes metrics... -
OWL (One-way Latency)
OWL (One-way Latency) is a network latency measurement tool developed specifically for experiments leveraging the PTP (precision time protocol) on... -
MFLIB Uploading ELK Dashboards
Kibana offers visualizations of various Beat data in the form of dashboards. Mflib.update offers users a way to upload their... -
ELK and Beats
ELK is the acronym for three open source projects: ElasticSearch, Logstash, Kibana. Elasticsearch is a search and analytics engine. Logstash... -
MFLib Methods
MFLib is a python library that enables automatic monitoring of a FABRIC experiment using Prometheus, Grafana and ELK. It is... -
MFLib Services
MFLib uses the concept of “services” to facilitate interactions with the Measurement Framework running in an experiment. These services are... -
Grafana
The Measurement Framework (MFLib) uses Grafana to access and visualize Prometheus metrics. Visit Grafana Labs for more information about Grafana....
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