Abstract
The advancement of software-defined networks (SDNs) plays a major role in the next generation of networks. It has laid its root in the cloud, data center, and the Internet of things. SDN separates the data and control plane. Through this, it provides greater flexibility, cost-effective configuration, and improved functioning of advanced design of networks. Traffic engineering (TE) is one of the major strengths of software-defined networks. Its main goal is to manage the flows in the network, update topologies, analyze the traffic, and be fault tolerant. Apart from that, it performs load balancing, congestion control, traffic rerouting, and updating policies. This article is intended to provide a detailed description of the types of TE techniques, formulation of TE problems, different ways to implement TE in SDN, and different topologies to be considered for the performance evaluation of the algorithms. The overview of the above-mentioned things might be beneficial for beginners and future researchers to have a clear understanding and go ahead with the implementation of TE in SDN.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Fundation, Open Networking. Software-defined networking: The new norm for networks. ONF White Paper 2.2-6, 11 (2012)
Akyildiz IF et al (2014) A roadmap for traffic engineering in SDN-OpenFlow networks. Comput Netw 71:1–30
Sanvito D et al (2019) Clustered robust routing for traffic engineering in software-defined networks. Comput Commun 144:175–187
Ahmad S, Hussain Mir A (2021) Scalability, consistency, reliability and security in SDN controllers: a survey of diverse SDN controllers. J Netw Syst Manage 29(1):1–59
Gude N et al (2008) NOX: towards an operating system for networks. ACM SIGCOMM computer communication review 38(3):105–110
RYU. https://ryu-sdn.org/
Floodlight. https://github.com/floodlight/loxigen
OpenDaylight. https://www.opendaylight.org/
Open MUL. https://www.openmul.org/
Erickson D (2013) The beacon openflow controller. In: Proceedings of the second ACM SIGCOMM workshop on Hot topics in software defined networking
Shin S et al (2014) Rosemary: a robust, secure, and high-performance network operating system. In Proceedings of the 2014 ACM SIGSAC conference on computer and communications security
Gurobi Solver. https://www.gurobi.com/
CPLEX Optimizer. http://ibmdecisionoptimization.github.io/docplex-doc/mp.html
Knight, S et al (2011) The internet topology zoo. IEEE J Selected Areas Commun 29(9), 1765–1775
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2023 The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.
About this paper
Cite this paper
Prabu, U., Geetha, V. (2023). Towards the Implementation of Traffic Engineering in SDN: A Practical Approach. In: Suma, V., Lorenz, P., Baig, Z. (eds) Inventive Systems and Control. Lecture Notes in Networks and Systems, vol 672. Springer, Singapore. https://doi.org/10.1007/978-981-99-1624-5_11
Download citation
DOI: https://doi.org/10.1007/978-981-99-1624-5_11
Published:
Publisher Name: Springer, Singapore
Print ISBN: 978-981-99-1623-8
Online ISBN: 978-981-99-1624-5
eBook Packages: Intelligent Technologies and RoboticsIntelligent Technologies and Robotics (R0)