Abstract :
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
Keywords :
data analysis; grid computing; SEUGrid; complicated computing; data analysis; data replica management; data storage; grid platform; mass data processing grid; resource management; scheduling strategy; semantic access control; Application software; Computer science; Data processing; Europe; Information retrieval; Memory; Pervasive computing; Processor scheduling; Resource management; Technology management;
