![](data:image/png;base64,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)
Dates: 15 - 18 April 2019
![](data:image/png;base64,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)
Location: CNRST, Rabat, Morocco
The Arab States Research and Education Network (ASREN), International Networks at Indiana University (IN@IU), and the Moroccan Academic and Research Wide Area Network (MARWAN) held a perfSONAR training workshop in Rabat, Morocco, from 15-18 April 2019.
perfSONAR is a network measurement toolkit designed to provide federated coverage of paths and help establish end-to-end usage expectations. There are 1000s of perfSONAR instances deployed worldwide (at the time of the workshop), many of which were available for open testing of key measures of network performance. This global infrastructure helps identify and isolate problems as they happened, making the role of supporting network users easier for engineering teams and increasing productivity when utilizing network resources.
Workshop Synopsis
This hands-on, perfSONAR-focused workshop aimed to create a pSConfig dashboard for use by ASREN and their member institutions. An understanding of network or system administration was required. During the course of the workshop, participants:
- Assembled NUC7i3BNH small nodes for use in the workshop
- Installed the perfSONAR Toolkit on the small nodes
- Tested the nodes against one another on the local network
- Prepared nodes for deployment at each participant’s home institution for use in a wider ASREN production monitoring dashboard
The skills learned during this course prepared workshop participants to plan and deploy their own perfSONAR meshes at their home institution or National Research and Education (NREN).
Target Audience
The workshop targeted Network and/or Systems Engineers with a desire to better monitor and understand network measurements.
Prerequisites
No previous knowledge of perfSONAR was required, however, the following proficiencies were of great benefit:
- Knowledge of Linux command line environment (CentOS 7 was used in the workshop)
- Basic knowledge of network setup on servers
Interested participants were advised to visit the perfSONAR website www.perfsonar.net.
Objectives
By the close of the workshop, participants were able to:
- Have a decent knowledge of the perfSONAR toolkit and testing methodology
- Install and deploy perfSONAR on their own
- Understand the pSConfig package used for creating pS meshes for persistent testing over time
Instructors
Registration Fees: 200 EURO