Skip to content

Performance analysis of optical communication networks with cascaded buffered optical switches

Aug 2026 · Journal of optical communications · 0 citations · 26 references

TL;DR

Simulation results show that increasing buffer capacity significantly improves network performance by reducing packet loss and maintaining high throughput, and provides useful guidelines for buffer dimensioning and the design of scalable next-generation optical switching networks.

Abstract

Abstract The increasing demand for high-speed data transmission has accelerated the adoption of multistage optical switching architectures. Cascaded buffered optical switches improve scalability and routing efficiency but suffer from packet contention and limited buffer capacity, leading to increased blocking probability, packet loss, and transmission delay under heavy traffic. This paper presents an analytical performance evaluation of cascaded buffered optical switching networks by modeling each switching node as a finite-capacity queue. Mathematical models are developed to analyze blocking probability, throughput, and average end-to-end delay, along with a generalized expression for cumulative blocking probability across multiple switching stages. The impact of traffic intensity, buffer size, and the number of cascaded switches on network performance is systematically investigated. Simulation results show that increasing buffer capacity significantly improves network performance by reducing packet loss and maintaining high throughput. For a buffer size of 16 packets, throughput decreases by only about 10 % as the number of cascaded switches increases from 5 to 20, demonstrating good scalability. Although end-to-end delay increases with additional switching stages, it remains within acceptable limits for high-speed optical communication systems. The proposed analysis provides useful guidelines for buffer dimensioning and the design of scalable next-generation optical switching networks.

View source

Similar papers

2026

Scalability and Delay Analysis of XR Traffic in Optical Access Networks

The rapid evolution of 5G and emerging 6G networks requires optical access systems to support immersive extended reality (XR) services with stringent quality-of-service (QoS) requirements, like ultra-low latency and high bandwidth. However, conventional dynamic bandwidth allocation (DBA) schemes in passive optical netw...

Akhilesh Patel, Y. Singh · 0 citations
Open access 2026

Delay Impact of Bursty Cross Traffic in Combined Input and Output Queued Switches Using Virtual Input Queueing Under Diverse Network and Traffic Conditions

Simulation results show that the CIOQ switch with VIQs effectively isolates critical flow from the impact of bursty flow originating from other input ports, thereby mitigating delay degradation caused by cross-port interference under the examined traffic conditions.

Takuto Kubo, Shingo Okada, Eiji Oki · 0 citations
Open access Aug 2026

Analyzing the Impact of Bufferbloat on Low-Latency Internet Traffic

Findings show that uncontrolled buffers have a significant negative effect on the performance of low-latency traffic in congestion but that AQM mechanisms can be carefully tuned to achieve a substantial reduction in queueing delay without seriously impacting throughput.

Dr. Sudhanshu Gonge¹, Dr Kalyani Kadam², Dr. Deepak Yashwant et al. · 0 citations
Open access Aug 2026

Simulation and Analysis of Multicast Traffic through IGMP: A Comparative Study with Physical Network Measurements

Multicast transmission is a fundamental mechanism used to deliver content to multiple receivers/users and is still an essential method in television broadcasting services and data distribution networks. Efficient management of multicast traffic has a direct impact on bandwidth consumption and helps to prevent network c...

A. Shehu, Fatmir Basholli, Lea Likaj et al. · 0 citations
Preprint Sep 2026

Flux: Optimal Scheduling of Optical Circuit Switches for LLM Training

Flux is presented, a scheduler that optimally schedules optical circuit switches based on the structure of the entire workload and reduces training iteration time and peak NIC buffer requirements by more than three orders of magnitude compared to traditional periodic schedulers.

Arno Troch, Seyyidahmed Lahmer, A. Nada et al. · 0 citations

We use cookies to run the site and, with your consent, for analytics and to show ads. See our Cookie Policy.