activity
20202025
most citedMoving the California distributed CMS xcache from bare metal into containers using Kubernetes

9 citations · 21 across the 8 of their papers we have counts for

collaborators

8 papers

cs.NI2025

Data Movement Manager (DMM) for the SENSE-Rucio Interoperation Prototype

Aashay Arora, Diego Davila, Jonathan Guiang +5

The Data Movement Manager (DMM) is a prototype interface that connects CERN's data management software, Rucio, with the Sofware-Defined Networking (SDN) service SENSE by ESNet. It…

cs.DC2025

SkimROOT: Accelerating LHC Data Filtering with Near-Storage Processing

Narangerelt Batsoyol, Jonathan Guiang, Diego Davila +4

Data analysis in high-energy physics (HEP) begins with data reduction, where vast datasets are filtered to extract relevant events. At the Large Hadron Collider (LHC), this process…

cs.DC2024★ 1 cited

CRIU -- Checkpoint Restore in Userspace for computational simulations and scientific applications

Fabio Andrijauskas, Igor Sfiligoi, Diego Davila +5

Creating new materials, discovering new drugs, and simulating systems are essential processes for research and innovation and require substantial computational power. While many ap…

cs.NI2023★ 3 cited

400Gbps benchmark of XRootD HTTP-TPC

Aashay Arora, Jonathan Guiang, Diego Davila +3

Due to the increased demand of network traffic expected during the HL-LHC era, the T2 sites in the USA will be required to have 400Gbps of available bandwidth to their storage solu…

hep-ex2023★ 1 cited

Applications of Deep Learning to physics workflows

Manan Agarwal, Jay Alameda, Jeroen Audenaert +65

Modern large-scale physics experiments create datasets with sizes and streaming rates that can exceed those from industry leaders such as Google Cloud and Netflix. Fully processing…

cs.NI2022★ 5 cited

Managed Network Services for Exascale Data Movement Across Large Global Scientific Collaborations

Frank Würthwein, Jonathan Guiang, Aashay Arora +10

Unique scientific instruments designed and operated by large global collaborations are expected to produce Exabyte-scale data volumes per year by 2030. These collaborations depend…

cs.NI2022★ 2 cited

Data Transfer and Network Services management for Domain Science Workflows

Tom Lehman, Xi Yang, Chin Guok +10

This paper describes a vision and work in progress to elevate network resources and data transfer management to the same level as compute and storage in the context of services acc…

cs.DC2020★ 9 cited

Moving the California distributed CMS xcache from bare metal into containers using Kubernetes

Edgar Fajardo, Matevz Tadel, Justas Balcas +5

The University of California system has excellent networking between all of its campuses as well as a number of other Universities in CA, including Caltech, most of them being conn…