Clustered virtualized network functions resource allocation based on context-aware grouping in 5g edge networks

Sooeun Song, Changsung Lee, Hyoungjun Cho, Goeun Lim, Jong Moon Chung

Research output: Contribution to journalArticlepeer-review

11 Citations (Scopus)

Abstract

With the wide spread of various smart devices and the proliferation of internet of things (IoT) sensors, the amount of traffic on mobile networks is rapidly increasing, and applications with extreme requirements are increasing. Network function virtualization (NFV) and mobile edge computing (MEC) are emerging as core technologies to satisfy users' real-time service demands. Adapting NFV technology to MECs allows the ability to assign cloud-computing capabilities near the base stations (BSs) of radio access networks (RANs), resulting in extremely fast service access to user equipment (UE). However, placement of virtualized network functions (VNF) within the edge network need to consider the location and the requirements of the user which change in real-time. There has been almost no consideration in the existing research on VNF resource allocation (VNF-RA) based on these aspects. Therefore, in this paper, a VNF resource allocation scheme based on context-aware grouping (VNF-RACAG) technology is proposed that enables groups (based on the geographic context of users, such as location and velocity) to compute the optimal number of clusters to minimize the end-to-end delay of network services. Then, a graph partitioning algorithm is used to minimize user movement between clusters, optimizing the data rate that users lose due to VNF migration.

Original languageEnglish
Article number8674579
Pages (from-to)1072-1083
Number of pages12
JournalIEEE Transactions on Mobile Computing
Volume19
Issue number5
DOIs
Publication statusPublished - 2020 May 1

Bibliographical note

Funding Information:
This work was supported by the Institute for Informationcirc & Communications Technology Promotion (IITP) grant (No. 2019-0-00685)

Funding Information:
This work was supported by the Institute for Information & Communications Technology Promotion (IITP) grant (No. 2019-0-00685, Free space optical communication based vertical mobile network) funded by the Republic of Korea government (MSIT).

Publisher Copyright:
© 2002-2012 IEEE.

All Science Journal Classification (ASJC) codes

  • Software
  • Computer Networks and Communications
  • Electrical and Electronic Engineering

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