Grid supporting platform for AMS data processing

Authors:
Junzhou Luo;Aibo Song;Ye Zhu;Xiaopeng Wang;Teng Ma;Zhiang Wu;Yaobin Xu;Liang Ge
Affiliations:
Department of Computer Science & Engineering, Southeast University, Nanjing, P. R. China;Department of Computer Science & Engineering, Southeast University, Nanjing, P. R. China;Department of Computer Science & Engineering, Southeast University, Nanjing, P. R. China;Department of Computer Science & Engineering, Southeast University, Nanjing, P. R. China;Department of Computer Science & Engineering, Southeast University, Nanjing, P. R. China;Department of Computer Science & Engineering, Southeast University, Nanjing, P. R. China;Department of Computer Science & Engineering, Southeast University, Nanjing, P. R. China;Department of Computer Science & Engineering, Southeast University, Nanjing, P. R. China
Venue:
ISPA'05 Proceedings of the 2005 international conference on Parallel and Distributed Processing and Applications
Year:
2005

Citing 4
Cited 5

A MAC Policy Framework for Multilevel Relational Databases

IEEE Transactions on Knowledge and Data Engineering
Protection

ACM SIGOPS Operating Systems Review
A Prediction-Based and Cost-Based Replica Replacement Algorithm Research and Simulation

AINA '05 Proceedings of the 19th International Conference on Advanced Information Networking and Applications - Volume 1
ChinaGrid: making grid computing a reality

ICADL'04 Proceedings of the 7th international Conference on Digital Libraries: international collaboration and cross-fertilization

A Replica Replacement Algorithm Based on Value-Cost Prediction

Computer Supported Cooperative Work in Design IV
Dynamic multi-resource advance reservation in grid environment

NPC'07 Proceedings of the 2007 IFIP international conference on Network and parallel computing
A VO-based two-swtage replica replacement algorithm

NPC'07 Proceedings of the 2007 IFIP international conference on Network and parallel computing
Dynamic advance reservation for grid system using resource pools

NPC'11 Proceedings of the 8th IFIP international conference on Network and parallel computing
Dynamic multi-resource advance reservation in grid environment

The Journal of Supercomputing

Quantified Score

Hi-index	0.00

Visualization

Abstract

The purpose of AMS experiment is to look for the source of the dark matter, source of the cosmic ray and the universe made of antimatter. The characteristics of AMS experiment are massive data and complicated computing. The data are frequently transmitted, retrieved and processed among the computing nodes located in USA, Europe and China. This paper introduces the grid platform at Southeast University, called SEUGrid, for the AMS data processing and analysis. Some key technologies such as the scheduling strategy, data replica management and semantic access control, which SEUGrid adopts to fit the AMS data processing, are described in the paper.