Industry Track SimulationWorks

Research Article

Mesmerizer: A Effective Tool for a Complete Peer-to-Peer Software Development Life-cycle

  • @INPROCEEDINGS{10.4108/icst.simutools.2011.245501,
        author={Roberto Roverso and Sameh El-Ansary and Alexandros Gkogkas and Seif Haridi},
        title={Mesmerizer: A Effective Tool for a Complete Peer-to-Peer Software Development Life-cycle},
        proceedings={Industry Track SimulationWorks},
        publisher={ACM},
        proceedings_a={INDUSTRY TRACK},
        year={2012},
        month={4},
        keywords={peer-to-peer systems design simulation-based development NAT emulation bandwidth dynamics emulation},
        doi={10.4108/icst.simutools.2011.245501}
    }
    
  • Roberto Roverso
    Sameh El-Ansary
    Alexandros Gkogkas
    Seif Haridi
    Year: 2012
    Mesmerizer: A Effective Tool for a Complete Peer-to-Peer Software Development Life-cycle
    INDUSTRY TRACK
    ACM
    DOI: 10.4108/icst.simutools.2011.245501
Roberto Roverso1,*, Sameh El-Ansary1, Alexandros Gkogkas1, Seif Haridi2
  • 1: Peerialism Inc.
  • 2: Royal Institute of Tech. (KTH)
*Contact email: roberto@peerialism.com

Abstract

In this paper we present what are, in our experience, the best practices in Peer-To-Peer(P2P) application development and how we combined them in a middleware platform called Mesmerizer. We explain how simulation is an integral part of the development process and not just an assessment tool. We then present our component-based event-driven framework for P2P application development, which can be used to execute multiple instances of the same application in a strictly controlled manner over an emulated network layer for simulation/testing, or a single application in a concurrent environment for deployment purpose. We highlight modeling aspects that are of critical importance for designing and testing P2P applications, e.g. the emulation of Network Address Translation and bandwidth dynamics. We show how our simulator scales when emulating low-level bandwidth characteristics of thousands of concurrent peers while preserving a good degree of accuracy compared to a packet-level simulator.