Design of a prototype for modelling membrane computation based on ecosystems in a cloud environment

J. Mateo, J.L. Lerida, F. Guirado, M. Gonzalez, M. Angels Colomer, Rosa Filgueira Vicente

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


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 publicationInformation Systems and Technologies (CISTI), 2014 9th Iberian Conference on
Number of pages2
Publication statusPublished - 1 Jun 2014


  • Web services
  • biocomputing
  • cloud computing
  • ecology
  • portals
  • PSysCal tool
  • Web portal
  • cloud environment
  • computational resources
  • ecosystems
  • membrane computation modelling
  • program configuration
  • prototype design
  • Biological system modeling
  • Calibration
  • Computational modeling
  • Ecosystems
  • Educational institutions
  • Mathematical model
  • Prototypes
  • Cloud computing
  • ecosystem simulation
  • parameter calibration

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