Title
A Hybrid Flow/Packet Level Model for Predictive Service Function Chain Selection in SDN
Author
Wetzels, F.
van den Berg, J.L.
van der Mei, R.
Contributor
zhao Q.Xia, L. (editor)
Publication year
2021
Abstract
This paper is motivated by recent developments in SDN and NFV whereby service functions, distributed over a centralised controlled network, are connected to form a service function chain (SFC). Upon arrival of a new service request a decision has to be made to which one of SFCs the request must be routed. This decision is based on (1) actual state information about the background traffic through the SFC nodes, and (2) a prediction of the fraction of time that the SFC is in overflow during the course of the new flow in the system. In this paper, we propose a new method for assigning an incoming flow to an SFC. For that, we propose and compare two methods: a simple flow-based algorithm and a more refined hybrid flow/packet-based algorithm. By extensive simulations, we show that the simple flow-based algorithm works particularly well if the network is not overloaded upon new flow arrival. Moreover, the results show that the flow/packet-based algorithm enhances the flowbased algorithm as it handles initial overload significantly better. We conclude that the prediction-based SFC selection is a powerful method to meet QoS requirements in a software defined network with varying background traffic.
Subject
Predictive selection
Service function chain
Software defined network
Varying background traffic
Network function virtualization
Quality of service
Background traffic
Flow based algorithms
Flow packets
Hybrid flow
Predictive selection
Service function chain
Service functions
Software-defined networks
Varying background
To reference this document use:
http://resolver.tudelft.nl/uuid:667bc566-f777-4a58-a59a-7bdd664aaf1c
TNO identifier
968094
Publisher
Springer Science and Business Media Deutschland GmbH
ISBN
9783030925109
ISSN
1867-8211
Source
Lecture Notes of the Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering, LNICST, 14th International Conference on Performance Evaluation Methodologies and Tools, VALUETOOLS 2021, 30 October 2021 through 31 October 2021, 93-106
Document type
conference paper