1. College of Computer Engineering, University of Shanghai for Scie nce and Technology, Shanghai 200093, China;
2. Modernized Education Center, University of Shanghai for Science and Technology, Shanghai 200093, China
For resolving the conflict problem of the peak communication in data-intensive grid that composed of CC(computer clusters), a MGCM(multi-level grouping commun ica tion model) was discussed. A series of formal definitions, such as the DGDN(dat a-intensive grid data node) and the complete graphics communication wer e given. Using the mechanism of the active queue and passive queue, a GCA(group ing communication algorithm) in single computer cluster and a GCAD(grouping communication algorithm in double computer clusters) were studied. B ased on netw ork distance, GCA and GCAD,a MGCM of DGDN were designed. The analysis and experi m ent results show that MGCM effectively resolve the low efficiency during the pea k communication in grid. It can be fit for the data-intensive parallel computin g based on grid.