Abstract

The network function virtualization (NFV) paradigm is an emerging technology that provides network flexibility by allowing the allocation of network functions over commodity hardware, like legacy servers in an IT infrastructure. In comparison with traditional network functions, implemented by dedicated hardware, the use of NFV reduces the operating and capital expenses and improves service deployment. In some scenarios, a complete network service can be composed of several functions, following a specific order, known as a service function chain (SFC). SFC placement is a complex task, already proved to be NP-hard. Moreover, in highly distributed scenarios, the network performance can also be impacted by other factors, such as traffic oscillations and high delays. Therefore, a given SFC placement strategy must be carefully developed to meet the network operator service constraints. In this paper, we present a systematic review of SFC placement advances in distributed scenarios. Differently from the current literature, we examine works over the last 10 years which addressed this problem while focusing on distributed scenarios. We then discuss the main scenarios where SFC placement has been deployed, as well as the several techniques used to create the placement strategies. We also present the main goals considered to create SFC placement strategies and highlight the metrics used to evaluate them.

Highlights

  • With the rise of 5G and Internet of Things (IoT) technologies, it is expected that the network traffic and the number of active devices increase dramatically over the few coming years [3]

  • This paper presents a systematic review of Service Function Chain (SFC) placement in distributed scenarios, discussing the main work contributions in the last decade

  • In the systematic review presented in this paper, we focus on SFC placement in distributed scenarios, evaluating their possible applications and goals

Read more

Summary

Introduction

With the rise of 5G and Internet of Things (IoT) technologies, it is expected that the network traffic and the number of active devices increase dramatically over the few coming years [3]. Each vendor provides its own management software and firmware, resulting in significant capital investment to create and launch a new service [97] This lack of flexibility in traditional networks turns their integration and deployment of new service cumbersome while compromising network management since middle-boxes have expensive and slow provisioning cycles besides facing waste of resources in low traffic due to difficult re-purposed and must be dimensioned at peak loads [100, 86]

Objectives
Methods
Results
Discussion
Conclusion
Full Text
Paper version not known

Talk to us

Join us for a 30 min session where you can share your feedback and ask us any queries you have

Schedule a call

Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.