VNF Placement Optimization at the Edge and Cloud †

Aris Leivadeas, George Kesidis, Mohamed Ibnkahla and Ioannis Lambadaris
Additional contact information
Aris Leivadeas: Department of Software and Information Technology Engineering, École de Technologie Supérieure, Montréal, QC lH3C1K3, 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

Future Internet, 2019, vol. 11, issue 3, 1-23

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.

Keywords: NFV; cloud computing; MEC; IoT; VNF placement; service chain (search for similar items in EconPapers)
JEL-codes: O3 (search for similar items in EconPapers)
Date: 2019
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (2)

Downloads: (external link)
https://www.mdpi.com/1999-5903/11/3/69/pdf (application/pdf)
https://www.mdpi.com/1999-5903/11/3/69/ (text/html)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:gam:jftint:v:11:y:2019:i:3:p:69-:d:212517

Access Statistics for this article

Future Internet is currently edited by Ms. Grace You

More articles in Future Internet from MDPI
Bibliographic data for series maintained by MDPI Indexing Manager ().