Description

Abstract

The use a Caas model as a cost efficient cache solution to ease of the disk I/O problem in Caas. We have built the remote-memory based cache that is pluggable and file system independent to support various configurations. The cloud Server process introduce, pricing model together with the elastic cache system. This will increase the disk I/O performance of the Iaas, and it will reduce the usage of the physical machines.

The cost of the user using elastic cache system, and improve the service performance on the service provider. We have using Cache memory and no Cache memory for our experimental results. Cache memory can perform more than the other memory. And in this, we have using Least Recently Used algorithm for replacing a file in the cache memory, in Future, we have using LRU2-MRU algorithm for file replacing in the cache memory.