NFV Provisioning in Large-Scale Distributed Networks With Minimum Delay

Mohammed J F Alenazi,Egemen K Cetinkaya,Saleh Almowuena,Abdulrahman Almutairi,Abdul Wadood

doi:10.1109/access.2020.3017667

Mohammed J F Alenazi, Egemen K Cetinkaya + Show 3 more

Open Access

https://doi.org/10.1109/access.2020.3017667

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Abstract

Network function virtualization (NFV) and software-defined networking (SDN) are two technologies that have emerged to reduce capital and operational costs, and to simplify network management. In this paper, we propose an SDN-based system that provisions virtual network functions (VNFs) to minimize round trip time (RTT) delay and synchronization delay requirements. Our system uses graphic-theoretic approaches to place newly requested VNFs including four centrality functions - betweenness, degree, closeness, and Katz. The system performance is evaluated using two random graph topologies representing the physical and logical structures. The impact of increasing the number of deployed VNFs is considered. The results indicate that the degree and Katz selection methods mostly provide the minimum RTT for physical networks, whereas the betweenness selection provides minimum RTT values for logical networks. Moreover, the closeness selection method provides the best synchronization delay for both logical and physical networks.

Highlights

AND MOTIVATIONAs the Internet scales up in terms of users and demand, a large number of new network devices are installed and upgraded on a daily basis
For Gabriel graphs with 150 nodes, the results indicate that the degree and Katz selection methods mostly provide the minimum round trip time (RTT) when deploying 3, 4, and 5 virtual network functions (VNFs) for each cluster
For Gabriel graphs with 200 nodes, the results indicate that the degree and Katz selection methods consistently provide the minimum RTT when deploying 3, 4, and 5 VNFs for each cluster

Summary

INTRODUCTION

As the Internet scales up in terms of users and demand, a large number of new network devices are installed and upgraded on a daily basis. NFV and VNF overcome several challenges associated with the use of specialized network hardware or middleboxes to provide new services. Specialized network hardware can be expensive, requires specialized operations personnel, has high energy costs, does not allow the addition of new functionality, and has short life-cycles [3] These challenges raise the CapEx and OpEx of several service providers and increase the inflexibility of management drastically [2]. Another innovative utilization of SDN and NFV is the application of the two technologies in backbone networks These core networks require low-latency systems to meet user demands in terms of high demands for throughput, bandwidth, quality of service (QoS), and end-to-end delay [13]–[15].

AND RELATED WORK

EVALUATION METHODOLOGY

RESULTS AND DISCUSSION

CONCLUSION AND FUTURE WORK