Cloud computing provides a virtual, flexible, scalable resource manage mode for Internet enterprises. As the fundamental storage architecture of cloud computing, cloud storage is proposed separately to achieve the high available, scalable storage. However, with the amount of redundant business data, more and more cloud space was occupied and more network bandwidth cost was bought in. To utilize cloud storage efficiently, we proposed a method based on FP-tree in this paper by which we can delete the underlying redundant data in cloud storage. The present work proves this method can save large amount of disk space and can be combined with cloud storage hash location function.
Emerging fast, byte-addressable persistent memory (PM) promises substantial storage performance gains compared to traditional disks. We present TPFS, a tiered file system that combines PM and slow disks to create a storage system with near-PM performance and large capacity. TPFS steers incoming file I/O to PM, DRAM, or disk depending on the synchronicity, write size and read frequency. TPFS profiles the application’s access stream online to predict the behavior of file access. In the background, TPFS estimates the “temperature” of file data, and migrates the write-cold and read-hot file data from PM to disks. To fully utilize disk bandwidth, TPFS coalesces data blocks into large, sequential writes. Experimental results show that with a small amount of PM and a large SSD, TPFS achieves up to 7.3 × and 7.9 × throughput improvement compared with EXT4 and XFS running on an SSD alone, respectively. As the amount of PM grows, TPFS’s performance improves until it matches the performance of a PM-only file system.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.