TY - JOUR
T1 - On the complexities of utilizing large-scale lightpath-connected distributed cyberinfrastructure
AU - Maassen, Jason
AU - van Werkhoven, Ben
AU - van Meersbergen, Maarten
AU - Bal, Henri E.
AU - Kliphuis, Michael
AU - Brunnabend, Sandra E.
AU - Dijkstra, Henk A.
AU - van Malenstein, Gerben
AU - de Vos, Migiel
AU - Kuijpers, Sylvia
AU - Boele, Sander
AU - Wolfrat, Jules
AU - Hill, Nick
AU - Wallom, David
AU - Grimm, Christian
AU - Kranzlmüller, Dieter
AU - Ganpathi, Dinesh
AU - Jha, Shantenu
AU - Khamra, Yaakoub El
AU - Bryan, Frank O.
AU - Kirtman, Benjamin
AU - Seinstra, Frank J.
PY - 2017/1/25
Y1 - 2017/1/25
N2 - In Autumn 2013, we—an international team of climate scientists, computer scientists, eScience researchers, and e-Infrastructure specialists—participated in the enlighten your research global competition, organized to showcase advanced lightpath technologies in support of state-of-the-art research questions. As one of the winning entries, our enlighten your research global team embarked on a very ambitious project to run an extremely high resolution climate model on a collection of supercomputers distributed over two continents and connected using an advanced 10 G lightpath networking infrastructure. Although good progress was made, we were not able to perform all desired experiments due to a varying combination of technical problems, configuration issues, policy limitations and lack of (budget for) human resources to solve these issues. In this paper, we describe our goals, the technical and non-technical barriers, we encountered and provide recommendations on how these barriers can be removed so future project of this kind may succeed.
AB - In Autumn 2013, we—an international team of climate scientists, computer scientists, eScience researchers, and e-Infrastructure specialists—participated in the enlighten your research global competition, organized to showcase advanced lightpath technologies in support of state-of-the-art research questions. As one of the winning entries, our enlighten your research global team embarked on a very ambitious project to run an extremely high resolution climate model on a collection of supercomputers distributed over two continents and connected using an advanced 10 G lightpath networking infrastructure. Although good progress was made, we were not able to perform all desired experiments due to a varying combination of technical problems, configuration issues, policy limitations and lack of (budget for) human resources to solve these issues. In this paper, we describe our goals, the technical and non-technical barriers, we encountered and provide recommendations on how these barriers can be removed so future project of this kind may succeed.
KW - distributed cyberinfrastructure
KW - global climate modeling
KW - lightpaths
UR - http://www.scopus.com/inward/record.url?scp=84971469216&partnerID=8YFLogxK
U2 - 10.1002/cpe.3853
DO - 10.1002/cpe.3853
M3 - Article
AN - SCOPUS:84971469216
SN - 1532-0626
VL - 29
JO - Concurrency and Computation
JF - Concurrency and Computation
IS - 2
M1 - e3853
ER -