The GÉANT PMV SIG (SIG-PMV) is focusing on performance monitoring and verification topics from both a research and operations perspective, and in identifying and establishing best practises for wired/wireless (campus) networks, and the networks that connect them. SIG-PMV activities are open to all interested parties within the GÉANT community (NRENs, universities, research organizations, etc) and international organisations it collaborates with e.g. ESnet, Internet2, user communities etc.
At present there is a wide range of PMV tools available, and their usage varies between communities, based on the requirements, levels of knowledge, and other factors. Examples include use of open source tools such as iperf, commercial tools integrated into vendor platforms, bespoke packages such as perfSONAR, and ‘lightweight’ community initiatives such as the RIPE Atlas project. New work is also emerging in areas such as crowdsourced wireless performance monitoring.
It is thus desirable and timely to work on identifying PMV approaches for a range of scenarios, to make it simpler for end user communities or network operators to ‘drop in’ appropriate solutions on demand.
The activities of SIG-PMV are intended to be complementary to eduPERT (GN4-2-SA3T5), and are specifically open to participation from those outside the formal GÉANT project.
The full terms of reference as approved by the GÉANT Community Committee are available.
The access to the eduPERT Knowledge Base finde here
1 | Conduct a Survey of Performance Monitoring (e2e) and Verification requirements within the GÉANT and eduPERT communities (and international collaborating organisations) | List of responses (#) - Qualitative/Quantitative Analysis. Documented requirements. | Complete |
2 | Document the scenarios requiring appropriate PMV solutions | Document a number of key scenarios upon which the SIG will study... | Complete |
3 | Document initial recommendation(s) for PMV framework(s)/architecture(s) based on the requirements and scenario analysis. | Document initial high-level recommendations for scenario-based PMV solution(s) |