Latency-based graph selection manager for end-to-end network service on heterogeneous infrastructures

Changwoo Kim, Yujeong Oh, Jaiyong Lee

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

As Network Functions Virtualization (NFV) / Software Defined Networking (SDN) technologies gradually mature as representative next-generation network technologies, management and orchestration (MANO) technologies that manage the Service Function Chain (SFC) have received plenty of attention from industry and academia. However, a number of present research challenges have been addressing only resource efficiency related with usage rates of Virtualized Network Functions (VNFs) without network properties in terms of NFV-MANO orchestrator. Different network characteristics are considered due to use network slicing technology which provides dedicated logical networks from a physical network for tailored network services. In this paper, we proposed Graph Selection Manager (GSM) to provide one or more VNF forwarding graphs under maximum latency considering inter-latency and intra-latency as well as VNFs and network capacity. As a result of experimental emulation, we found one or more VNF forwarding graphs meeting service level agreement (SLA) of a tenant in limited network capacity, and established one or more end-to-end network services with sustained low latency.

Original languageEnglish
Title of host publication32nd International Conference on Information Networking, ICOIN 2018
PublisherIEEE Computer Society
Pages534-539
Number of pages6
ISBN (Electronic)9781538622896
DOIs
Publication statusPublished - 2018 Apr 19
Event32nd International Conference on Information Networking, ICOIN 2018 - Chiang Mai, Thailand
Duration: 2018 Jan 102018 Jan 12

Publication series

NameInternational Conference on Information Networking
Volume2018-January
ISSN (Print)1976-7684

Conference

Conference32nd International Conference on Information Networking, ICOIN 2018
Country/TerritoryThailand
CityChiang Mai
Period18/1/1018/1/12

Bibliographical note

Funding Information:
ACKNOWLEDGMENT This research was supported by Basic Science Research Program through the National Research Foundation of Korea (NRF) funded by the Ministry of Science and ICT (NRF-2017R1A2B4008503).

Publisher Copyright:
© 2018 IEEE.

All Science Journal Classification (ASJC) codes

  • Computer Networks and Communications
  • Information Systems

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