A Framework for International Collaboration on ITER Using Large-Scale Data Transfer to Enable Near-Real-Time Analysis-Reference-Cited by-同舟云学术

A Framework for International Collaboration on ITER Using Large-Scale Data Transfer to Enable Near-Real-Time Analysis

Published:2021-02-17 Issue:2 Volume:77 Page:98-108
ISSN:1536-1055
Container-title:Fusion Science and Technology
language:en
Short-container-title:Fusion Science and Technology

Author:

Churchill R. M.¹^ORCID,Chang C. S.¹,Choi J.²,Wang R.²,Klasky S.²,Kube R.¹,Park H.³,Choi M. J.⁴,Park J. S.⁴,Wolf M.²,Hager R.¹,Ku S.¹,Kampel S.¹,Carroll T.¹,Silber K.¹,Dart E.⁵,Cho B. S.⁶

Affiliation:

1. Princeton Plasma Physics Laboratory, Princeton, New Jersey 08540

2. Oak Ridge National Laboratory, Oak Ridge, Tennessee 37830

3. Ulsan National Institute of Science and Technology, Ulsan 689-798, Korea

4. National Fusion Research Institute, Daejeon 34133, Korea

5. Energy Sciences Network, Lawrence Berkeley National Laboratory, Berkeley, California 94720

6. KREONET Operation and Service, Korea Institute of Science and Technology Information, Daejeon 305806, Korea

Funder

U.S. Department of Energy

Publisher

Informa UK Limited

Subject

Mechanical Engineering,General Materials Science,Nuclear Energy and Engineering,Nuclear and High Energy Physics,Civil and Structural Engineering

Link

https://www.tandfonline.com/doi/pdf/10.1080/15361055.2020.1851073

Reference38 articles.

1. J. Y. CHOI et al. “ICEE: Wide-Area in Transit Data Processing Framework for Near Real-Time Scientific Applications,” Proc. 4th Supercomputing Workshop Petascale Big Data Analytics: Challenges and Opportunities; Int. Conf. for High Performance Computing, Networking, Storage and Analysis, Denver, Colorado, November 17–22, 2013, Institute of Electrical and Electronics Engineers (2013); http://sc13.supercomputing.org/sites/default/files/WorkshopsArchive/pdfs/wp148s1.pdf (current as of July 14, 2020).

2. Stream processing for near real-time scientific data analysis

3. Remote participation in ITER exploitation—conceptual design

4. Federated Computing for the Masses--Aggregating Resources to Tackle Large-Scale Engineering Problems

5. PanDA: distributed production and distributed analysis system for ATLAS

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