• DocumentCode
    77756
  • Title

    Fast Recovery From Link Failures in Ethernet Networks

  • Author

    Gopalan, A. ; Ramasubramanian, Srinivasan

  • Author_Institution
    Dept. of Electr. & Comput. Eng., Univ. of Arizona, Tucson, AZ, USA
  • Volume
    63
  • Issue
    2
  • fYear
    2014
  • fDate
    Jun-14
  • Firstpage
    412
  • Lastpage
    426
  • Abstract
    Fast-recovery from link failures is a well-studied topic in IP networks. Employing fast-recovery in Ethernet networks is complicated as the forwarding is based on destination MAC addresses, which do not have the hierarchical nature similar to those exhibited in Layer 3 in the form of IP-prefixes. Moreover, switches employ backward learning to populate the forwarding table entries. Thus, any fast recovery mechanism in Ethernet networks must be based on undirected spanning trees if backward learning is to be retained. In this paper, we develop three alternatives for achieving fast recovery from single link failures in Ethernet networks. All three approaches provide guaranteed recovery from single link failures. The approaches differ in the technologies required for achieving fast recovery, namely VLAN rewrite or mac-in-mac encapsulation or both. We study the performance of the approaches developed on five different networks.
  • Keywords
    IP networks; access protocols; computer network reliability; local area networks; trees (mathematics); Ethernet networks; IP networks; IP-prefixes; MAC-in-MAC encapsulation; VLAN rewrite; backward learning; destination MAC addresses; fast recovery mechanism; forwarding table entry; single link failures; undirected spanning trees; Encapsulation; Ethernet networks; IP networks; Multiprotocol label switching; Network topology; Ports (Computers); Ethernet; Fast recovery; backward learning; independent spanning trees; link failure; network availability; vlans;
  • fLanguage
    English
  • Journal_Title
    Reliability, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0018-9529
  • Type

    jour

  • DOI
    10.1109/TR.2014.2315957
  • Filename
    6797972