scholarly journals RAVIS: Resource Forecast and Ramp Visualization for Situational Awareness - An Introduction to the Open-Source Tool and Use Cases

2021 ◽  
Author(s):  
Paul Edwards ◽  
Haiku Sky ◽  
Venkat Krishnan
10.29173/iq18 ◽  
2017 ◽  
Vol 42 (1) ◽  
pp. 14
Author(s):  
Vicky Steeves ◽  
Rémi Rampin ◽  
Fernando Chirigati

Achieving research reproducibility is challenging in many ways: there are social and cultural obstacles as well as a constantly changing technical landscape that makes replicating and reproducing research difficult. Users face challenges in reproducing research across different operating systems, in using different versions of software across long projects and among collaborations, and in using publicly available work. The dependencies required to reproduce the computational environments in which research happens can be exceptionally hard to track – in many cases, these dependencies are hidden or nested too deeply to discover, and thus impossible to install on a new machine, which means adoption remains low. In this paper, we present ReproZip , an open source tool to help overcome the technical difficulties involved in preserving and replicating research, applications, databases, software, and more. We will examine the current use cases of ReproZip , ranging from digital humanities to machine learning. We also explore potential library use cases for ReproZip, particularly in digital libraries and archives, liaison librarianship, and other library services. We believe that libraries and archives can leverage ReproZip to deliver more robust reproducibility services, repository services, as well as enhanced discoverability and preservation of research materials, applications, software, and computational environments.


2017 ◽  
Author(s):  
Vicky Steeves ◽  
Remi Rampin ◽  
Fernando Chirigati

This is a pre-print of a manuscript pending publication. Achieving research reproducibility is challenging in many ways: there are social and cultural obstacles as well as a constantly changing technical landscape that makes replicating and reproducing research difficult. Users face challenges in reproducing research across different operating systems, in using different versions of software across long projects and among collaborations, and in using publicly available work. The dependencies required to reproduce the computational environments in which research happens can be exceptionally hard to track – in many cases, these dependencies are hidden or nested too deeply to discover, and thus impossible to install on a new machine, which means adoption remains low. In this paper, we present ReproZip, an open source tool to help overcome the technical difficulties involved in preserving and replicating research, applications, databases, software, and more. We examine the current use cases of ReproZip, ranging from digital humanities to machine learning. We also explore potential library use cases for ReproZip, particularly in digital libraries and archives, liaison librarianship, and other library services. We believe that libraries and archives can leverage ReproZip to deliver more robust reproducibility services, repository services, as well as enhanced discoverability and preservation of research materials, applications, software, and computational environments.


2020 ◽  
pp. 100001
Author(s):  
Wilko Heitkoetter ◽  
Bruno U. Schyska ◽  
Danielle Schmidt ◽  
Wided Medjroubi ◽  
Thomas Vogt ◽  
...  

2021 ◽  
Vol 139 ◽  
pp. 105001 ◽  
Author(s):  
Yiyi Ju ◽  
Masahiro Sugiyama ◽  
Diego Silva Herran ◽  
Jiayang Wang ◽  
Akimitsu Inoue

Author(s):  
Ángela Casado-García ◽  
Gabriela Chichón ◽  
César Domínguez ◽  
Manuel García-Domínguez ◽  
Jónathan Heras ◽  
...  
Keyword(s):  

2021 ◽  
Vol 111 (06) ◽  
pp. 446-448
Author(s):  
Thomas Kuhn

In dem Forschungsprojekt „Basissystem für die unternehmensübergreifende Produktionsunterstützung“ (kurz: BaSys überProd) arbeiten 21 Partner aus Wissenschaft und Wirtschaft an Lösungen für den Wandel hin zur digitalisierten, flexiblen Industrie-4.0-Produktion. Dabei kommt vor allem die Open-Source-Middleware Eclipse BaSyx zum Einsatz. Das Ziel: Repräsentative Anwendungsfälle in Wirtschaftsunternehmen umsetzen und das Wiederverwendungspotenzial der Lösungen für andere Kontexte herausarbeiten.   In the research project “Basissystem für die unternehmensübergreifende Produktionsunterstützung” (Basic system for cross-company production support; BaSys überProd for short), 21 partners from research and industry are working on solutions for the transition to digitalized, flexible Industrie 4.0 production. In this context, the open-source middleware Eclipse BaSyx, in particular, is being used. The goal is to implement representative use cases in industrial companies and to identify the reuse potential of the solutions for other contexts.


2021 ◽  
pp. 108637
Author(s):  
Gianluca Perna ◽  
Dena Markudova ◽  
Martino Trevisan ◽  
Paolo Garza ◽  
Michela Meo ◽  
...  
Keyword(s):  

2021 ◽  
Author(s):  
Micol Spitale ◽  
Chris Birmingham ◽  
R. Michael Swan ◽  
Maja J Mataric
Keyword(s):  

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