Memory intensive applications and I/O intensive applications often suffer from the poor performance of disk swapping when memory is inadequate. RAM Grid, which combines Network Memory, Service-oriented Computing and Grid Computing technology, focuses on solving these problems. Being excellent at providing shared memory to improve system performance, RAM Grid can't guarantee busy node load balance or optimal file remote cache efficiency. After studying data placement policy of large-scale network storage systems, we propose a file classification caching service (FCCS) based on RAM Grid, which promises fairness and high availability, to give a method that tries to solve those shortages. As experiment results show: FCCS improve system performance greatly.
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