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VNF Placement Optimization at the Edge and Cloud †

Author

Listed:
  • Aris Leivadeas

    (Department of Software and Information Technology Engineering, École de Technologie Supérieure, Montréal, QC lH3C1K3, Canada
    Current address: 1100, rue Notre-Dame Ouest, Montréal, QC H3C 1K3, Canada.)

  • George Kesidis

    (Department of Electrical Engineering and Computer Science, Pennsylvania State University, State College, PA 16801, USA)

  • Mohamed Ibnkahla

    (Department of Systems and Computer Engineering, Carleton University, Ottawa, ON K1S 5B6, Canada)

  • Ioannis Lambadaris

    (Department of Systems and Computer Engineering, Carleton University, Ottawa, ON K1S 5B6, Canada)

Abstract

Network Function Virtualization (NFV) has revolutionized the way network services are offered to end users. Individual network functions are decoupled from expensive and dedicated middleboxes and are now provided as software-based virtualized entities called Virtualized Network Functions (VNFs). NFV is often complemented with the Cloud Computing paradigm to provide networking functions to enterprise customers and end-users remote from their premises. NFV along with Cloud Computing has also started to be seen in Internet of Things (IoT) platforms as a means to provide networking functions to the IoT traffic. The intermix of IoT, NFV, and Cloud technologies, however, is still in its infancy creating a rich and open future research area. To this end, in this paper, we propose a novel approach to facilitate the placement and deployment of service chained VNFs in a network cloud infrastructure that can be extended using the Mobile Edge Computing (MEC) infrastructure for accommodating mission critical and delay sensitive traffic. Our aim is to minimize the end-to-end communication delay while keeping the overall deployment cost to minimum. Results reveal that the proposed approach can significantly reduce the delay experienced, while satisfying the Service Providers’ goal of low deployment costs.

Suggested Citation

  • Aris Leivadeas & George Kesidis & Mohamed Ibnkahla & Ioannis Lambadaris, 2019. "VNF Placement Optimization at the Edge and Cloud †," Future Internet, MDPI, vol. 11(3), pages 1-23, March.
    • Handle: RePEc:gam:jftint:v:11:y:2019:i:3:p:69-:d:212517
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    References listed on IDEAS

    as
    1. Dimitrios Dechouniotis & Nikolaos Leontiou & Nikolaos Athanasopoulos & Athanasios Christakidis & Spyros Denazis, 2015. "A control‐theoretic approach towards joint admission control and resource allocation of cloud computing services," International Journal of Network Management, John Wiley & Sons, vol. 25(3), pages 159-180, May.
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    Cited by:

    1. Symeon Papavassiliou, 2020. "Software Defined Networking (SDN) and Network Function Virtualization (NFV)," Future Internet, MDPI, vol. 12(1), pages 1-3, January.
    2. Anselmo Luiz Éden Battisti & Evandro Luiz Cardoso Macedo & Marina Ivanov Pereira Josué & Hugo Barbalho & Flávia C. Delicato & Débora Christina Muchaluat-Saade & Paulo F. Pires & Douglas Paulo de Matto, 2022. "A Novel Strategy for VNF Placement in Edge Computing Environments," Future Internet, MDPI, vol. 14(12), pages 1-20, November.

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