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Personality-aware vnf deployment for profit maximization

  • Ruiming Yang
  • , Kun Cao
  • , Peijin Cong
  • , Junlong Zhou
  • , Mingsong Chen
  • , Tongquan Wei
  • East China Normal University
  • Nanjing University of Science and Technology

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

Abstract

Virtual Network Function (VNF) providers aim to maximize their profits while satisfying diverse users' requirements. However, existing research does not take user personality into account when optimizing the profit of VNF providers, where user personality has a great influence on the VNF providers' profit. In this paper, we investigate personality-aware VNF deployment to maximize the VNF provider's profit. First, we model personalized service chain requests to capture the different requirements of users with different personalities for service requests. We further propose a user satisfaction prediction model according to questionnaires to obtain the attribute values of the above personalized service chain request. Subsequently, we propose a genetic algorithm based personality-aware VNF deployment scheme to maximize the VNF provider's profit while considering diverse personalities of individual users. Simulation results show that our proposed approach can increase the profit of the VNF provider by 9.19% and the request acceptance rate by 20.70%, respectively.

Original languageEnglish
Title of host publicationProceedings - 2019 IEEE International Conference on Parallel and Distributed Processing with Applications, Big Data and Cloud Computing, Sustainable Computing and Communications, Social Computing and Networking, ISPA/BDCloud/SustainCom/SocialCom 2019
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages380-387
Number of pages8
ISBN (Electronic)9781728143286
DOIs
StatePublished - Dec 2019
Externally publishedYes
Event17th IEEE International Conference on Parallel and Distributed Processing with Applications, 9th IEEE International Conference on Big Data and Cloud Computing, 9th IEEE International Conference on Sustainable Computing and Communications, 12th IEEE International Conference on Social Computing and Networking, ISPA/BDCloud/SustainCom/SocialCom 2019 - Xiamen, China
Duration: 16 Dec 2019 → 18 Dec 2019

Publication series

NameProceedings - 2019 IEEE Intl Conf on Parallel and Distributed Processing with Applications, Big Data and Cloud Computing, Sustainable Computing and Communications, Social Computing and Networking, ISPA/BDCloud/SustainCom/SocialCom 2019

Conference

Conference17th IEEE International Conference on Parallel and Distributed Processing with Applications, 9th IEEE International Conference on Big Data and Cloud Computing, 9th IEEE International Conference on Sustainable Computing and Communications, 12th IEEE International Conference on Social Computing and Networking, ISPA/BDCloud/SustainCom/SocialCom 2019
Country/TerritoryChina
CityXiamen
Period16/12/19 → 18/12/19

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 7 - Affordable and Clean Energy
    SDG 7 Affordable and Clean Energy

Keywords

  • Deployment
  • Genetic algorithm
  • Network function virtualization
  • Personality
  • Profit

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