In this paper, we propose a stride static chunking deduplication algorithm using a hybrid approach that exploits the advantages of static chunking and byte-shift chunking algorithm. The key contribution of our approach is to reduce the computation time and enhance deduplication performance. We assume that duplicated data blocks are generally gathered into groups; thus, if we find one duplicated data block using byte-shift, then we can find subsequent data blocks with the static chunking approach. Experimental results show that stride static chunking algorithm gives significant benefits over static chunking, byte-shift chunking and variable-length chunking algorithm, particularly for reducing processing time and storage space.

In this paper, we propose a new user-level file system to support block relocation by modifying the file allocation table without actual data copying. The key idea of the proposed system is to provide the block insertion and deletion function for file manipulation. This approach can be used very effectively for block-aligned file modification applications such as a compress utility and a TAR archival system. To show the usefulness of the proposed file system, we adapted the new functionality to TAR application by modifying TAR file to support an efficient sub-file management scheme. Experiment results show that the proposed system can significantly reduce the file I/O overhead and improve the I/O performance of a file system.

Traditionally, UNIX has been weak in data sharing. By data sharing, we mean that multiple cooperative processes concurrently access and update the same set of data. As the degree of sharing (the number of cooperative processes) increases, the existing UNIX virtual memory systems run into page table thrashing, which causes a major performance bottleneck. Once page table thrashing occurs, UNIX performs miserably regardless of the hardware platforms it is running on. This is a critical problem because UNIX is increasingly used in environments such as banking that require intensive data sharing. We consider several alternatives to avoid page table thrashing, and propose a solution of which the main idea is to share page tables in virtual memory. Extensive experiments have been carried out with real workloads, and the results show that the shared page table solution avoids the page table thrashing and improves the performance of UNIX by an order of magnitude.