• DocumentCode
    2826208
  • Title

    Addressing agility and improving load balance in fat-tree data center network — A review

  • Author

    Lonare, Amol ; Gulhane, Veena

  • Author_Institution
    Dept. of Comput. Sci. & Eng., GHRCE, Nagpur, India
  • fYear
    2015
  • fDate
    26-27 Feb. 2015
  • Firstpage
    965
  • Lastpage
    971
  • Abstract
    A multi-rooted hierarchical tree topology has been widely adopted for many data center networks. It provides good utilization of resources as well as better performance, still fat tree Data Center Network has two limitations i.e traffic load balance and agility. This is because it is unable to support different traffic types efficiently and has no capacity to access all services by all servers. A work has done previously on load balancing, yet agility has not been solved. In this paper various techniques of load balancing has been studied and the new technique to address the agility has been discussed. This technique will increase the level of performance even in a more number of nodes in the network and also improve load handling capacity.
  • Keywords
    computer centres; resource allocation; topology; trees (mathematics); agility; fat-tree data center network; multirooted hierarchical tree topology; resource utilization; traffic load balancing; Bandwidth; Load management; Routing; Servers; Switches; Telecommunication traffic; Traffic control; Agility; Data Center Network; Fat-tree; Load balance; Network Utilization; Services;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Electronics and Communication Systems (ICECS), 2015 2nd International Conference on
  • Conference_Location
    Coimbatore
  • Print_ISBN
    978-1-4799-7224-1
  • Type

    conf

  • DOI
    10.1109/ECS.2015.7125057
  • Filename
    7125057