Next Article in Journal
Software-Defined Heterogeneous Vehicular Networking: The Architectural Design and Open Challenges
Next Article in Special Issue
Effectiveness of Segment Routing Technology in Reducing the Bandwidth and Cloud Resources Provisioning Times in Network Function Virtualization Architectures
Previous Article in Journal
Snack Texture Estimation System Using a Simple Equipment and Neural Network Model
Previous Article in Special Issue
Autonomic Network Management and Cross-Layer Optimization in Software Defined Radio Environments
Open AccessArticle

VNF Placement Optimization at the Edge and Cloud

Department of Software and Information Technology Engineering, École de Technologie Supérieure, Montréal, QC lH3C1K3, Canada
Department of Electrical Engineering and Computer Science, Pennsylvania State University, State College, PA 16801, USA
Department of Systems and Computer Engineering, Carleton University, Ottawa, ON K1S 5B6, Canada
Author to whom correspondence should be addressed.
This paper is an extended version of our paper published in IEEE Conference on Network Softwarization and Workshops, 25–29 June 2018, Montreal, QC, Canada.
Current address: 1100, rue Notre-Dame Ouest, Montréal, QC H3C 1K3, Canada.
Future Internet 2019, 11(3), 69;
Received: 8 February 2019 / Revised: 4 March 2019 / Accepted: 5 March 2019 / Published: 9 March 2019
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. View Full-Text
Keywords: NFV; cloud computing; MEC; IoT; VNF placement; service chain NFV; cloud computing; MEC; IoT; VNF placement; service chain
Show Figures

Figure 1

MDPI and ACS Style

Leivadeas, A.; Kesidis, G.; Ibnkahla, M.; Lambadaris, I. VNF Placement Optimization at the Edge and Cloud . Future Internet 2019, 11, 69.

Show more citation formats Show less citations formats
Note that from the first issue of 2016, MDPI journals use article numbers instead of page numbers. See further details here.

Article Access Map by Country/Region

Search more from Scilit
Back to TopTop