activity
20142026
most citedA Roadmap for HEP Software and Computing R&D for the 2020s

240 citations · 594 across the 44 of their papers we have counts for

collaborators
Showing 2020Show all

9 papers · 1 filter

cs.DC2020

Adapting LIGO workflows to run in the Open Science Grid

Edgar Fajardo, Frank Wuerthwein, Brian Bockelman +5

During the first observation run the LIGO collaboration needed to offload some of its most, intense CPU workflows from its dedicated computing sites to opportunistic resources. Ope…

cs.CR2020★ 10 cited

WLCG Authorisation from X.509 to Tokens

Brian Bockelman, Andrea Ceccanti, Ian Collier +10

The WLCG Authorisation Working Group was formed in July 2017 with the objective to understand and meet the needs of a future-looking Authentication and Authorisation Infrastructure…

cs.DC2020★ 8 cited

Third-party transfers in WLCG using HTTP

Brian Bockelman, Andrea Ceccanti, Fabrizio Furano +3

Since its earliest days, the Worldwide LHC Computational Grid (WLCG) has relied on GridFTP to transfer data between sites. The announcement that Globus is dropping support of its o…

cs.DC2020★ 4 cited

Towards an Intelligent Data Delivery Service

Wen Guan, Tadashi Maeno, Gancho Dimitrov +4

The ATLAS Event Streaming Service (ESS) at the LHC is an approach to preprocess and deliver data for Event Service (ES) that has implemented a fine-grained approach for ATLAS event…

cs.DC2020★ 10 cited

Creating a content delivery network for general science on the internet backbone using XCaches

Edgar Fajardo, Marian Zvada, Derek Weitzel +9

A general problem faced by computing on the grid for opportunistic users is that delivering cycles is simpler than delivering data to those cycles. In this project we show how we i…

cs.NI2020★ 1 cited

WLCG Networks: Update on Monitoring and Analytics

Marian Babik, Shawn McKee, Pedro Andrade +7

WLCG relies on the network as a critical part of its infrastructure and therefore needs to guarantee effective network usage and prompt detection and resolution of any network issu…

cs.DC2020★ 1 cited

Exploring Erasure Coding Techniques for High Availability of Intermediate Data

Zhe Zhang, Brian Bockelman, Derek Weitzel +1

Scientific computing workflows generate enormous distributed data that is short-lived, yet critical for job completion time. This class of data is called intermediate data. A commo…

cs.DC2020

Trua: Efficient Task Replication for Flexible User-defined Availability in Scientific Grids

Zhe Zhang, Brian Bockelman, Derek Weitzel +3

Failure is inevitable in scientific computing. As scientific applications and facilities increase their scales over the last decades, finding the root cause of a failure can be ver…

cs.OH2020★ 3 cited

ROOT I/O compression improvements for HEP analysis

Oksana Shadura, Brian Paul Bockelman, Philippe Canal +2

We overview recent changes in the ROOT I/O system, increasing performance and enhancing it and improving its interaction with other data analysis ecosystems. Both the newly introdu…