A connectionist approach to dynamic resource management for virtualised network functions

Rashid Mijumbi, Sidhant Hasija, Steven Davy, Alan Davy, Brendan Jennings, Raouf Boutaba

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

30 Citations (Scopus)

Abstract

Network Functions Virtualisation (NFV) continues to gain attention as a paradigm shift in the way telecommunications services are deployed and managed. By separating Network Functions (NFs) from traditional middleboxes, NFV is expected to lead to reduced CAPEX and OPEX, and to more agile services. However, one of the main challenges to achieving these objectives is on how physical resources can be efficiently, autonomously, and dynamically allocated to Virtualised Network Functions (VNFs) whose resource requirements ebb and flow. In this paper, we propose a Graph Neural Network (GNN)-based algorithm which exploits Virtual Network Function Forwarding Graph (VNF-FG) topology information to predict future resource requirements for each Virtual Network Function Component (VNFC). The topology information of each VNFC is derived from combining its past resource utilisation as well as the modelled effect on the same from VNFCs in its neighbourhood. Our proposal has been evaluated using a deployment of a virtualised IP Multimedia Subsystem (IMS), and real VoIP traffic traces, with results showing an average prediction accuracy of 90%. Moreover, compared to a scenario where resources are allocated manually and/or statically, our proposal reduces the average number of dropped calls by at least 27% and improves call setup latency by over 29%.

Original languageEnglish
Title of host publication2016 12th International Conference on Network and Service Management, CNSM 2016 and Workshops, 3rd International Workshop on Management of SDN and NFV, ManSDN/NFV 2016, and International Workshop on Green ICT and Smart Networking, GISN 2016
EditorsShannon Keith-Marsoun, Carlos Raniery Paula dos Santos, Noura Limam, Mohamed Cheriet, Mohamed Faten Zhani, Olivier Festor
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages1-9
Number of pages9
ISBN (Electronic)9783901882852
DOIs
Publication statusPublished - 13 Jan 2017
Event12th International Conference on Network and Service Management, CNSM 2016 and Workshops, 3rd International Workshop on Management of SDN and NFV, ManSDN/NFV 2016 and International Workshop on Green ICT and Smart Networking, GISN 2016 - Montreal, Canada
Duration: 31 Oct 201604 Nov 2016

Publication series

Name2016 12th International Conference on Network and Service Management, CNSM 2016 and Workshops, 3rd International Workshop on Management of SDN and NFV, ManSDN/NFV 2016, and International Workshop on Green ICT and Smart Networking, GISN 2016

Conference

Conference12th International Conference on Network and Service Management, CNSM 2016 and Workshops, 3rd International Workshop on Management of SDN and NFV, ManSDN/NFV 2016 and International Workshop on Green ICT and Smart Networking, GISN 2016
Country/TerritoryCanada
CityMontreal
Period31/10/201604/11/2016

Keywords

  • Artificial Intelligence
  • Machine Learning
  • Network Functions Virtualisation
  • Neural Networks
  • Resource Management
  • Topology Awareness

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