**8. Conclusions**

For supporting the concurrent access for the hot segments of large files during the peak access phase in Internet, a parallel cache model based on the grid memory (PCMGM) was proposed in this paper. The concurrent accessing of hot segments depends on the disk performance greatly during the peak access. Through the grid technique, we can mine a lot of idle computers to construct the grid memory in order to store the duplications of hot segments. Because of the heterogeneous resources and the unstable catachrestic, the effective cache model is very difficult in the dynamic network environment. Through the techniques of *CA*, *DSEG*, the dynamic learning and the logical computer cluster partition based on fuzzy theory, PCMGM can support the parallel cache. These approaches can raise the peak access performance for hot segment of large files. It can fit for the grid computing and the large scale VOD in internet.
