Abstract
This paper presents a two-phase synchronization algorithm—tpsync, which combines content-defined chunking (CDC) with sliding block duplicated data detection methods. tpsync firstly partitions synchronized files into variable-sized chunks in coarse-grained scale with CDC method, locates the unmatched chunks of synchronized files using the edit distance algorithm, and finally generates the fine-grained delta data with fixed-sized sliding block duplicated data detection method. At the first-phase, tpsync can quickly locate the partial changed chunks between two files through similar files’ fingerprint characteristics. On the basis of the first phase’s results, small fixed-sized sliding block duplicated data detection method can produce better fine-grained delta data between the corresponding unmatched data chunks further. Extensive experiments on ASCII, binary and database files demonstrate that tpsync can achieve a higher performance on synchronization time and total transferred data compared to traditional fixed-sized sliding block method—rsync. Compared to rsync, tpsync reduces synchronization time by 12% and bandwidth by 18.9% on average if optimized parameters are applied on both. With signature cached synchronization method adopted, tpsync can yield a better performance.
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Sheng, Y., Xu, D., Wang, D. (2010). A Two-Phase Differential Synchronization Algorithm for Remote Files. In: Hsu, CH., Yang, L.T., Park, J.H., Yeo, SS. (eds) Algorithms and Architectures for Parallel Processing. ICA3PP 2010. Lecture Notes in Computer Science, vol 6081. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-13119-6_6
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DOI: https://doi.org/10.1007/978-3-642-13119-6_6
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