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Scalable software-defined optical networking with high-performance routing and wavelength assignment algorithms.

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|October 20, 2015

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Scalable routing algorithms for software-defined optical networks (SDON) enhance network capacity. A hottest-request-first policy optimizes throughput and computation, crucial for centralized control.

Area of Science:

Computer Science
Telecommunications Engineering
Network Engineering

Background:

Software-Defined Optical Networking (SDON) relies on centralized control, posing scalability challenges.
Efficient routing and wavelength assignment (RWA) are critical for practical SDON applications.
Existing RWA algorithms may not meet the scalability demands of centralized control.

Purpose of the Study:

To investigate highly scalable RWA algorithms for OpenFlow-based SDON testbeds.
To propose efficient RWA algorithms that balance network capacity and computational cost.
To demonstrate proof-of-concept for scalable centralized control in SDON.

Main Methods:

Development and testing of heuristic RWA algorithms with varying request processing orders and routing table update procedures.

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Related Experiment Videos

Last Updated: Mar 31, 2026

Quasi-light Storage for Optical Data Packets

Quasi-light Storage for Optical Data Packets

Published on: February 6, 2014

Large Scale Energy Efficient Sensor Network Routing Using a Quantum Processor Unit

Large Scale Energy Efficient Sensor Network Routing Using a Quantum Processor Unit

Published on: September 8, 2023

Transmission of Multiple Signals through an Optical Fiber Using Wavefront Shaping

Transmission of Multiple Signals through an Optical Fiber Using Wavefront Shaping

Published on: March 20, 2017

Implementation on an OpenFlow-based SDON testbed.

Simulation study to analyze the trade-off between network throughput and computation complexity.

Main Results:

A hottest-request-first processing policy, combined with shortest-path routing, significantly increases network throughput.
This policy demonstrates high network throughput while maintaining acceptable computation scalability.
The study quantifies the trade-off between network throughput and computational complexity in routing table updates.

Conclusions:

The proposed heuristic RWA algorithms, particularly the hottest-request-first policy, are effective for scalable centralized control in SDON.
Achieving high network capacity and computational scalability is feasible in SDON.
The findings provide a foundation for practical, large-scale SDON deployments.