• DocumentCode
    592858
  • Title

    Address Resolution in large layer 2 networks for data centers

  • Author

    Gillespie, Randy ; Kamil, Amir ; Chung-Horng Lung ; Majumdar, Shreyan ; Ashwood-Smith, Peter

  • Author_Institution
    Dept. of Syst. & Comput. Eng., Carleton Univ., Ottawa, ON, Canada
  • fYear
    2012
  • fDate
    3-6 Dec. 2012
  • Firstpage
    693
  • Lastpage
    698
  • Abstract
    This paper proposed a Distributed Address Resolution Protocol (DARP) for large layer 2 networks used in a data center. As data centers continue to grow in size, there is an increased amount of overhead required to resolve network addresses using the traditional Address Resolution Protocol (ARP). The DARP attempts to reduce this overhead for large data centers with thousands of nodes and allow for the resolution of network address with minimal strain on the underlying network infrastructure. By using Distributed Hash Tables (DHTs) as the core data structure technology to maintain address records, we attempt to create a decentralized and reliable service that trades the sporadic overhead associated with current approaches with a consistent and predictable overhead. To determine the viability of the protocol, a series of simulations were developed and run via the OPNET Modeler software package. The simulation results demonstrate that DARP outperforms ARP by reducing the number of messages. Data centersaddress resolution protocoldistributed hash tables.
  • Keywords
    IP networks; access protocols; computer centres; data structures; message passing; software packages; telecommunication network reliability; DARP; DHT; OPNET modeler software package; address resolution; consistent overhead; core data structure technology; data centers; decentralized service; distributed address resolution protocol; distributed hash tables; large layer 2 networks; minimal strain; network address resolution; network infrastructure; predictable overhead; reliable service; Cloud computing; IP networks; Network topology; Protocols; Servers; Topology; Unified modeling language;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Cloud Computing Technology and Science (CloudCom), 2012 IEEE 4th International Conference on
  • Conference_Location
    Taipei
  • Print_ISBN
    978-1-4673-4511-8
  • Electronic_ISBN
    978-1-4673-4509-5
  • Type

    conf

  • DOI
    10.1109/CloudCom.2012.6427588
  • Filename
    6427588