Abstract
This paper presents a new I/O technique called Selectively Parallel I/O Compression (SPIOC) for providing high-speed storage and access to data in QoS enabled parallel storage systems. SPIOC reduces the time of I/O operations by applying transparent compression between the computing and the storage systems. SPIOC can predict whether to compress or not at runtime, allowing parallel or sequential compression techniques, guaranteeing QoS and allowing partial and full reading by decompressing the minimum part of the file. SPIOC maximises the measured efficiency of data movement by applying run-time customising compression before storing data in the Papio storage system. © 2014 Springer International Publishing Switzerland.
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CITATION STYLE
Filgueira, R., Atkinson, M., Tanimura, Y., & Kojima, I. (2014). Applying selectively parallel I/O compression to parallel storage systems. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 8632 LNCS, pp. 282–293). Springer Verlag. https://doi.org/10.1007/978-3-319-09873-9_24
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