• DocumentCode
    2990809
  • Title

    Affluenza: An extendible approach to universal churn generation

  • Author

    Fernández-Casado, Enrique ; Sànchez-Artigas, Marc ; García-López, Pedro

  • Author_Institution
    Dept. of Comput. Eng. & Math., Univ. Rovira i Virgili, Tarragona, Spain
  • fYear
    2011
  • fDate
    4-8 July 2011
  • Firstpage
    568
  • Lastpage
    576
  • Abstract
    Churn is an inherent property of peer-to-peer (P2P) networks which is difficult to characterize due to the fact that few systems are actually in use, and the space of possible applications is still under scrutiny. Despite its relevance, and even though there is a plethora of representative models, it is an open question how faithfully those models represent the "reality" they are intended to portray. Our goal is to produce the first generation framework that integrates state-of-the-art churn models in a single modeling tool and simplifies the design of new models. No less importantly, we want to produce a tool that allow researchers to compare their contributions and yet-to-be-invented applications under the same conditions. We call such a tool Affluenza and we hope it helps to increase the confidence in the results obtained by simulation.
  • Keywords
    peer-to-peer computing; Affluenza; first generation framework; peer-to-peer networks; universal churn generation; Adaptation models; Analytical models; Exponential distribution; Java; Peer to peer computing; Random processes; Writing; P2P Workload Characterization; Simulation;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    High Performance Computing and Simulation (HPCS), 2011 International Conference on
  • Conference_Location
    Istanbul
  • Print_ISBN
    978-1-61284-380-3
  • Type

    conf

  • DOI
    10.1109/HPCSim.2011.5999876
  • Filename
    5999876