• DocumentCode
    2751135
  • Title

    VP2P: A Virtual Machine-Based P2P Testbed for VoD Delivery

  • Author

    Chen, Yih-Farn ; Jana, Rittwik ; Stern, Daniel ; Sun, Hailong ; Wei, Bin ; Yang, Mike

  • Author_Institution
    AT&T Labs.-Res., Florham Park, NJ
  • fYear
    2009
  • fDate
    10-13 Jan. 2009
  • Firstpage
    1
  • Lastpage
    5
  • Abstract
    Recent advances in P2P technology have made it a viable alternative for the delivery of rich media by both content and service providers. However, to better understand and utilize P2P technologies in building a scalable media distribution platform, the nature of the underlying network must be taken into consideration. Although many P2P simulations have been conducted previously, very few were evaluated on a real P2P testbed with the properties of the physical network in mind. In this paper, we describe VP2P, a virtual machine-based P2P testbed, which supports P2P studies with the consideration of typical service provider networks. We use four fully equipped MacPro´s to emulate 32 peers in the current implementation. Experiments of three P2P algorithms for video on demand (VoD) services: BitTorrent, Toast, and Zebra, were run on the testbed. We discuss the rationales behind the hardware and software architecture of VP2P, report our results, and conclude with lessons learned and future directions for VM-based testbeds.
  • Keywords
    multimedia communication; peer-to-peer computing; video on demand; virtual machines; VoD delivery; media distribution platform; service provider networks; video on demand services; virtual machine-based P2P testbed; Bandwidth; Hardware; IPTV; Network servers; Peer to peer computing; Software architecture; Software testing; TV; Virtual manufacturing; Web and internet services;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Consumer Communications and Networking Conference, 2009. CCNC 2009. 6th IEEE
  • Conference_Location
    Las Vegas, NV
  • Print_ISBN
    978-1-4244-2308-8
  • Electronic_ISBN
    978-1-4244-2309-5
  • Type

    conf

  • DOI
    10.1109/CCNC.2009.4784768
  • Filename
    4784768