By Topic

AMS Mass Data Processing Gird

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$33 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

1 Author(s)
Junzhou Luo ; Prof., School of Computer Science and Engineering Southeast University.

Summary form only given. 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. In this talk, speaker introduces the grid platform implemented at Southeast University, called SEUGrid, for the AMS data storage, processing and analysis. Some key technologies such as the scheduling strategy, resource management, data replica management and semantic access control, which SEUGrid adopts to fit the AMS data processing, are proposed. Finally, the talk gives the coming improved architecture of SEUGrid and its future work

Published in:

2006 First International Symposium on Pervasive Computing and Applications

Date of Conference:

3-5 Aug. 2006