• DocumentCode
    628230
  • Title

    DATAFLASKS: An epidemic dependable key-value substrate

  • Author

    Maia, Francisco ; Matos, Miguel ; Vilaca, Ricardo ; Pereira, J. ; Oliveira, Renato ; Riviere, Etienne

  • Author_Institution
    High Assurance Software Lab., UMinho, Braga, Portugal
  • fYear
    2013
  • fDate
    24-27 June 2013
  • Firstpage
    1
  • Lastpage
    6
  • Abstract
    Recently, tuple-stores have become pivotal structures in many information systems. Their ability to handle large datasets makes them important in an era with unprecedented amounts of data being produced and exchanged. However, these tuple-stores typically rely on structured peer-to-peer protocols which assume moderately stable environments. Such assumption does not always hold for very large scale systems sized in the scale of thousands of machines. In this paper we present a novel approach to the design of a tuple-store. Our approach follows a stratified design based on an unstructured substrate. We focus on this substrate and how the use of epidemic protocols allow reaching high dependability and scalability.
  • Keywords
    data communication; peer-to-peer computing; protocols; storage management; DATAFLASKS; dataset handling; epidemic dependable key value substrate; epidemic protocol; information system; peer-to-peer protocol; stratified design; tuple store; unstructured substrate; Distributed databases; Large-scale systems; Libraries; Peer-to-peer computing; Protocols; Scalability; Substrates; Dependability; Distributed Systems; Epidemic Protocols; Large Scale Data Stores;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Dependable Systems and Networks (DSN), 2013 43rd Annual IEEE/IFIP International Conference on
  • Conference_Location
    Budapest
  • ISSN
    1530-0889
  • Print_ISBN
    978-1-4673-6471-3
  • Type

    conf

  • DOI
    10.1109/DSN.2013.6575326
  • Filename
    6575326