Applying selectively parallel I/O compression to parallel storage systems

Rosa Filgueira, Malcolm Atkinson, Yusuke Tanimura, Isao Kojima

Research output: Chapter in Book/Report/Conference proceedingConference contribution

11 Citations (Scopus)


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.

Original languageEnglish
Title of host publicationEuro-Par 2014
Subtitle of host publicationParallel Processing - 20th International Conference, Proceedings
EditorsFernando Silva, Inês Dutra, Vítor Santos Costa
Number of pages12
ISBN (Electronic)9783319098722
ISBN (Print)9783319098722
Publication statusPublished - 2014
Event20th International Conference on Parallel Processing, Euro-Par 2014 - Porto, Portugal
Duration: 25 Aug 201429 Aug 2014

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume8632 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349


Conference20th International Conference on Parallel Processing, Euro-Par 2014


  • Adaptive systems
  • Compression algorithms
  • Data Intensive Computing
  • Parallel File System


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