Logo
ScienceStack
Table of Contents
Fetching ...
Sign In

Increasing Information-Carrying Capacity by Exploiting Diverse Traffic Characteristics in Multi-Band Optical Networks

Ramanuja Kalkunte, Forough Shirin Abkenar, Sifat Ferdousi, Rana Kumar Jana, Anand Srivastava, Abhijit Mitra, Massimo Tornatore, Biswanath Mukherjee

TL;DR

This work tackles the challenge of provisioning dynamic traffic in multi-band optical backbones, focusing on both C and C+L bands. It introduces the Delay-Aware and Compression-Aware (DACA) provisioning algorithm, which leverages traffic delayability and compressibility to reduce blocking probability and increase network capacity, using GSNR-based QoT estimators and k-shortest-path routing with First-Fit. Through event-driven simulations on a BT-UK topology, the study compares DACA against NDNC, DA, and CA across both single-band and multi-band scenarios, demonstrating substantial reductions in blocking probability, especially in C+L-band deployments. The findings indicate that DACA can significantly enhance information-carrying capacity under diverse and dynamic traffic patterns, offering a practical strategy for future multi-band optical networks. Overall, the approach provides a concrete method to adapt backbone provisioning to traffic heterogeneity and growth, with clear gains in efficiency and scalability.

Abstract

Efficient network management in optical backbone networks is crucial for handling continuous traffic growth. In this work, we address the challenges of managing dynamic traffic in C- and C+L-band optical backbone networks while exploring application flexibility, namely the compressibility and delayability metrics. We propose a strategy, named Delay-Aware and Compression-Aware (DACA) provisioning algorithm, which reduces blocking probability, thereby increasing information-carrying capacity of the network compared to baseline strategies.

Increasing Information-Carrying Capacity by Exploiting Diverse Traffic Characteristics in Multi-Band Optical Networks

TL;DR

This work tackles the challenge of provisioning dynamic traffic in multi-band optical backbones, focusing on both C and C+L bands. It introduces the Delay-Aware and Compression-Aware (DACA) provisioning algorithm, which leverages traffic delayability and compressibility to reduce blocking probability and increase network capacity, using GSNR-based QoT estimators and k-shortest-path routing with First-Fit. Through event-driven simulations on a BT-UK topology, the study compares DACA against NDNC, DA, and CA across both single-band and multi-band scenarios, demonstrating substantial reductions in blocking probability, especially in C+L-band deployments. The findings indicate that DACA can significantly enhance information-carrying capacity under diverse and dynamic traffic patterns, offering a practical strategy for future multi-band optical networks. Overall, the approach provides a concrete method to adapt backbone provisioning to traffic heterogeneity and growth, with clear gains in efficiency and scalability.

Abstract

Efficient network management in optical backbone networks is crucial for handling continuous traffic growth. In this work, we address the challenges of managing dynamic traffic in C- and C+L-band optical backbone networks while exploring application flexibility, namely the compressibility and delayability metrics. We propose a strategy, named Delay-Aware and Compression-Aware (DACA) provisioning algorithm, which reduces blocking probability, thereby increasing information-carrying capacity of the network compared to baseline strategies.
Paper Structure (11 sections, 4 figures, 1 table, 1 algorithm)

This paper contains 11 sections, 4 figures, 1 table, 1 algorithm.

Table of Contents

  1. Introduction
  2. System Model
  3. Diverse Traffic Types
  4. Network Model
  5. Delay- and Compression-Aware Provisioning
  6. Numerical Evaluation
  7. Modeling and Simulation Setup
  8. Baseline Strategies
  9. Performance Evaluation in C vs. C+L
  10. Performance Evaluation based on Traffic Types
  11. Conclusion

Figures (4)

  • Figure 1: BT-UK network: link lengths in kilometer (km) and traffic generation probabilities in parentheses PNC_1JOCN_4.
  • Figure 2: Relative BP induced by all strategies w.r.t. NDNC in C and C+L.
  • Figure 3: Relative BP induced by all strategies w.r.t. NDNC per traffic type.
  • Figure 4: Average resource utilization per hour (NDNC vs. DACA).