Energy-Efficient Traffic Engineering in Software Defined Networks
A special issue of Energies (ISSN 1996-1073). This special issue belongs to the section "A1: Smart Grids and Microgrids".
Deadline for manuscript submissions: closed (1 November 2021) | Viewed by 338
Special Issue Editor
Special Issue Information
Dear Colleagues,
Reducing the power consumption of the Internet has become a primary goal for the definition of sustainable and scalable network infrastructures.
In fact, with the advent of the Network Function Virtualization paradigm, the number of devices connected to the network is drastically increased, with an enormous impact on the power consumption.
In the last decade a big effort has been spent by the research community toward the definition of sophisticated routing strategies to reduce the power consumption of communication networks based on IP and MPLS technologies.
The definition of the Software Defined Networking (SDN) and the consequent decoupling of control plane and the data plane functionalities has greatly increased the flexibility allowed on route selection for traffic flows, making possible the definition of very effective green routing strategies.
Furthermore, the SDN controller represents a point of advantage for the execution of Artificial Intelligence and Machine Learning algorithms that can be exploited to define new energy efficient Traffic Engineering solutions.
In this context, another big challenge for the energy efficient routing strategies is represented by the change in the daily traffic pattern caused by the Covid-19 pandemy, so routing also has to adapt the network power consumption to the new traffic demand dynamic.
Internet energy sustainable routing strategies is the focus of this Special Issue that aims to present the most recent research lines towards Internet energy sustainable green routing strategies.
Topics of interest include, but are not limited to, the following:
- Energy consumption measurements, estimates, models, and monitoring tools
- Protocols and techniques to reduce energy consumption in fixed networks and in data centres
- Protocols and techniques for energy-efficient service provisioning
- Models of energy-efficient networks and energy-efficient network design
- Energy-efficient networking experiments and trials
- Test-bed and prototype implementations
- Networking approaches for energy efficiency of applications
Dr. Marco Polverini
Guest Editor
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Keywords
- Software Defined Networking
- Green Networking
- Routing Algorithms
- Network Optimization
- Machine learning
- Artificial Intelligence
- Self Organized Networks
- Traffic Prediction
- Reinforcement learning
- Network Function Virtualization
- Service Function Chaining
- Network Slicing
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