LiteVisor: A network hypervisor to support flow aggregation and seamless network reconfiguration for VM migration in virtualized software-defined networks

Gyeongsik Yang, Bong Yeol Yu, Seong Mun Kim, Hyuck Yoo

Research output: Contribution to journalArticle

2 Citations (Scopus)


Network virtualization based on software-defined networking (SDN) has become a necessary technology to provide various services in cloud datacenters. Although many network hypervisors have been proposed to support SDN-based network virtualization, their forwarding techniques excessively consume the limited ternary contents addressable memory of OpenFlow-enabled switches. Moreover, they do not consider network reconfiguration after virtual machine migration. In this paper, we propose LiteVisor, that resolves the two problems mentioned above. It develops the Locator, Identifier, and Tenant sEparating (LITE) scheme. The LITE-based forwarding enables flow aggregation that reduces switch memory consumption. In addition, LiteVisor provides seamless network reconfiguration that does not require tenant controllers to be aware of virtual machine migration based on LITE. We evaluate LiteVisor in terms of the number of flow table entries and network reconfiguration time and compare it with OpenVirteX that is an open-source network hypervisor. The results show that the number of flow rules decreases by up to eight times compared with OpenVirteX in a fat-tree topology. We also demonstrate the seamless network reconfiguration of LiteVisor in the experiments and present the results of the reconfiguration time by the topology size and packet sending interval of hosts.

Original languageEnglish
Article number8502071
Pages (from-to)65945-65959
Number of pages15
JournalIEEE Access
Publication statusPublished - 2018 Jan 1



  • Computer network management
  • network reconfiguration
  • network virtualization
  • software defined networking
  • VM migration

ASJC Scopus subject areas

  • Computer Science(all)
  • Materials Science(all)
  • Engineering(all)

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