Giorgos Saloustros

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Given current technology trends towards fast storage devices and the need for increasing data processing density, it is important to examine key-value store designs that reduce CPU overhead. However, current key-value stores are still designed mostly for hard disk drives (HDDs) that exhibit a large difference between sequential and random access(More)
System software overheads in the I/O path, including VFS and file system code, become more pronounced with emerging low-latency storage devices. Currently, these overheads constitute the main bottleneck in the I/O path and they limit efficiency of modern storage systems. In this paper we present a taxonomy of the current state-of-the-art systems on(More)
HBase is a prominent NoSQL system used widely in the domain of big data storage and analysis. It is structured as two layers: a lower-level distributed file system (HDFS)supporting the higher-level layer responsible for data distribution, indexing, and elasticity. Layered systems have in many occasions proven to suffer from overheads due to the isolation(More)
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