IRIS-HEP Fellow: Ziyang Ye
Fellowship dates: May – Aug, 2022
Home Institution: University of Wisconsin-Madison
Project: Add network measuring to data federation cachesThe High-Luminosity Large Hadron Collider (HL-LHC) will bring a tremendous increase in data volume. It is critical to ensure that the transfer and reuse of data works well in distributed data federations. Therefore, adding network performance tooling for data caching federations are needed. The expected outcome is a network measuring tool that is developed using Kubernetes deployments that orchestrate cache and perfSONAR containers to monitor the data transfer between origins and caches.
More information: My project proposal
Brian Lin (UW-Madison)
- 21 Sep 2022 - "Add network measuring to data federation caches", Ziyang Ye, IRIS-HEP Topical Meetings Recording: Add network measuring to data federation caches