MFlib Overview
The Measurement Framework library (MFlib) enables experimenters to “instrumentize” their slice by automatically adding monitoring software and services to the...
- Home
- Technical Guides
- Experiment Measurement APIs(MFlib)
Experiment Measurement APIs(MFlib)
The Measurement Framework API helps experimenters collect information about their experiment.
-
-
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... -
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... -
Grafana
The Measurement Framework (MFLib) uses Grafana to access and visualize Prometheus metrics. Visit Grafana Labs for more information about Grafana.... -
Kibana
MFLib uses Kibana to visualize metrics and logs gathered by ELK. The Measurement Framework (MFLib) uses Kibana to access and... -
ELK
ELK is the acronym for three open source projects: ElasticSearch, Logstash, Kibana. Elasticsearch is a search and analytics engine. Logstash... -
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... -
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... -
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...
Having problems?
Try searching or asking questions in the FABRIC community forums!
Go To Forums