• DocumentCode
    1680814
  • Title

    MEMCA for satellite and space data: MEMCA [Memory centric analytics] for satellite and space data

  • Author

    Agca, Muhammed Akif ; Baceski, Emre ; Gokcebag, Serhan

  • Author_Institution
    HAVELSAN Ankara, Ankara, Turkey
  • fYear
    2015
  • Firstpage
    261
  • Lastpage
    264
  • Abstract
    Automated image exploitation algorithms requires both computation power and fast disk access. Ordinary hardware or a sequential processing architecture is far from performing with acceptable performance, while dealing with huge satellite imagery data. In this work, a memory centric analytics solution is proposed for performing querying, graph based operations, machine learning and stream processing effectively. A proof of concept experiment was performed in order to demonstrate the effect of memory centric operations on big data. The initial results show that, memory centric analytics has great potential for imagery exploitation.
  • Keywords
    data handling; geophysical image processing; learning (artificial intelligence); MEMCA; fast disk access; image exploitation algorithms; imagery exploitation; machine learning; memory centric analytics; memory centric operations; satellite imagery data; sequential processing architecture; space data; stream processing; File systems; Memory architecture; Memory management; Random access memory; Satellites; Streaming media; big data; distributed system; memory centric file system; satellite images; stream processing;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Recent Advances in Space Technologies (RAST), 2015 7th International Conference on
  • Conference_Location
    Istanbul
  • Print_ISBN
    978-1-4673-7760-7
  • Type

    conf

  • DOI
    10.1109/RAST.2015.7208352
  • Filename
    7208352