most citedThe Workflow Trace Archive: Open-Access Data from Public and Private Computing Infrastructures -- Technical Report

3 citations · 4 across the 3 of their papers we have counts for

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cs.DC20211 cited

Workflows Community Summit: Bringing the Scientific Workflows Community Together

Rafael Ferreira da Silva, Henri Casanova, Kyle Chard +42

Scientific workflows have been used almost universally across scientific domains, and have underpinned some of the most significant discoveries of the past several decades. Many of…

cs.DC2021

Blueprint: Cyberinfrastructure Center of Excellence

Ewa Deelman, Anirban Mandal, Angela P. Murillo +15

In 2018, NSF funded an effort to pilot a Cyberinfrastructure Center of Excellence (CI CoE or Center) that would serve the cyberinfrastructure (CI) needs of the NSF Major Facilities…

cs.DC20193 cited

The Workflow Trace Archive: Open-Access Data from Public and Private Computing Infrastructures -- Technical Report

Laurens Versluis, Roland Mathá, Sacheendra Talluri +4

Realistic, relevant, and reproducible experiments often need input traces collected from real-world environments. We focus in this work on traces of workflows---common in datacente…

cs.DC2019

Custom Execution Environments with Containers in Pegasus-enabled Scientific Workflows

Karan Vahi, Mats Rynge, George Papadimitriou +7

Science reproducibility is a cornerstone feature in scientific workflows. In most cases, this has been implemented as a way to exactly reproduce the computational steps taken to re…

cs.DC20191 cited

Performance-Feedback Autoscaling with Budget Constraints for Cloud-based Workloads of Workflows

Alexey Ilyushkin, André Bauer, Alessandro V. Papadopoulos +2

The growing popularity of workflows in the cloud domain promoted the development of sophisticated autoscaling policies that allow automatic allocation and deallocation of resources…

cs.DC2019

Applicability study of the PRIMAD model to LIGO gravitational wave search workflows

Dylan Chapp, Danny Rorabaugh, Duncan Brown +4

The PRIMAD model with its six components (i.e., Platform, Research Objective, Implementation, Methods, Actors, and Data), provides an abstract taxonomy to represent computational e…