Oct 10 – 14, 2016
San Francisco Marriott Marquis
America/Los_Angeles timezone

ATLAS World-cloud and networking in PanDA

Oct 10, 2016, 11:45 AM
GG C2 (San Francisco Mariott Marquis)


San Francisco Mariott Marquis

Oral Track 3: Distributed Computing Track 3: Distributed Computing


Fernando Harald Barreiro Megino (University of Texas at Arlington)


The ATLAS computing model was originally designed as static clouds (usually national or geographical groupings of sites) around the
Tier 1 centers, which confined tasks and most of the data traffic. Since those early days, the sites' network bandwidth has
increased at O(1000) and the difference in functionalities between Tier 1s and Tier 2s has reduced. After years of manual,
intermediate solutions, we have now ramped up to full usage of World-cloud, the latest step in the PanDA Workload Management System
to increase resource utilization on the ATLAS Grid, for all workflows (MC production, data (re)processing, etc.).

We have based the development on two new site concepts. Nuclei sites are the Tier 1s and large Tier 2s, where tasks will be
assigned and the output aggregated, and satellites are the sites that will execute the jobs and send the output to their nucleus.
Nuclei and satellite sites are dynamically paired by PanDA for each task based on the input data availability, capability matching,
site load and network connectivity. This contribution will introduce the conceptual changes for World-cloud, the development
necessary in PanDA, an insight into the network model and the first half year of operational experience.

Primary Keyword (Mandatory) Distributed workload management
Secondary Keyword (Optional) Computing models

Primary author

Fernando Harald Barreiro Megino (University of Texas at Arlington)

Presentation materials