Abstract:
Cloud storage system architecture and
design plays a vital role in the cloud computing
infrastructure. Cloud storage system provides
users to efficient storage space with elasticity
feature. One of the challenges of cloud storage
server is difficult to balance the providing huge
elastic capacity of storage and investment of
expensive cost for it. In order to solve this issue,
we propose the low cost PC cluster based
storage system architecture which can be
activated to store a large amount of data and
provide cost-effective for cloud storage user and
present FP-growth algorithm for metadata
prefetching method and Least Recently Used
(LRU) replacement policy for caching to improve
performance by reducing response time.
According to the experimental testing, the
storage can be utilized more than 90% of storage
space and can significantly reduce the average
response time.
