• DocumentCode
    3530767
  • Title

    A Multi-channel and Real-Time Disaster Recovery Backup Method Based on P2P Streaming

  • Author

    Dongyan Zhang ; Tao Zhang

  • Author_Institution
    Sch. of Comput. & Commun. Eng., Univ. of Sci. & Technol. Beijing, Beijing, China
  • fYear
    2013
  • fDate
    9-11 Sept. 2013
  • Firstpage
    21
  • Lastpage
    26
  • Abstract
    The cost of backup for disaster recovery using leased line is high and there is also a conflict between fixed bandwidth of the leased line and dynamic changes of backup data size. The transmission of leased line also has danger of single point failure. In this paper, we put forward a multi-channel and real-time disaster recovery backup method based on P2P streaming. We designed the transmission model and backup algorithm which consisted of node joining and leaving algorithm, data sending and receiving mechanism of multi-channel and self-adaptive bandwidth. We also designed network nodes conflict resolution algorithm to ensure transport channel redundancy. We evaluated the important metrics of RTO and RPO under different conditions and optimized algorithm in terms of metrics improvement and efficiency. Finally, we carried out simulation experiments.
  • Keywords
    Internet; media streaming; peer-to-peer computing; real-time systems; system recovery; Internet; P2P streaming; RPO; RTO; backup algorithm; data receiving mechanism; data sending mechanism; metrics efficiency; metrics improvement; multichannel disaster recovery backup method; network node conflict resolution algorithm; node joining algorithm; node leaving algorithm; real-time disaster recovery backup method; recovery point objective; recovery time objective; self-adaptive bandwidth; transmission model; transport channel redundancy; Algorithm design and analysis; Bandwidth; Data communication; Delays; Optimization; Peer-to-peer computing; Multi-channel; P2P; backup; disaster recovery;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Emerging Intelligent Data and Web Technologies (EIDWT), 2013 Fourth International Conference on
  • Conference_Location
    Xi´an
  • Print_ISBN
    978-1-4799-2140-9
  • Type

    conf

  • DOI
    10.1109/EIDWT.2013.9
  • Filename
    6631586