Performance Analysis of the Integration of Dynamic Cloud Computing Environments and TSN Networks

Emerging cloud-native applications challenge cloud computing to provide Ultra-Reliable Low Latency Communication (URLLC). To address this challenge, the integration of cloud computing with Time-Sensitive Networks (TSN) has been explored in recent studies. Despite these efforts, existing research lacks a comprehensive analysis of how dynamic cloud computing environments impact the performance of this integration. In this paper, we address research questions related to the performance of TSN in cloud computing, considering different scenarios. Our results demonstrate that TSN can enhance the performance of time-sensitive application (360 -Virtual Reality videos) under certain conditions, but also highlight challenges in maintaining performance as cloud environments change. Furthermore, the study emphasizes the critical role of the convergence of computing and networking resources in meeting the stringent performance requirements of dynamic applications. This work offers valuable insights into the potential and limitations of TSN in cloud environments, providing a foundation for future research in this area.

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Published
2025-06-23
DOI
https://doi.org/10.1109/netsoft64993.2025.11080551
Primary Topic
Software-Defined Networks and 5G
Type
article
Field-Weighted Citation Impact
0.00

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article

Performance Analysis of the Integration of Dynamic Cloud Computing Environments and TSN Networks

Marcos Carvalho, Daniel F. Macedo
Software-Defined Networks and 5G
article

Performance Analysis of the Integration of Dynamic Cloud Computing Environments and TSN Networks

Marcos Carvalho, Daniel F. Macedo
article en

Abstract

Emerging cloud-native applications challenge cloud computing to provide Ultra-Reliable Low Latency Communication (URLLC). To address this challenge, the integration of cloud computing with Time-Sensitive Networks (TSN) has been explored in recent studies. Despite these efforts, existing research lacks a comprehensive analysis of how dynamic cloud computing environments impact the performance of this integration. In this paper, we address research questions related to the performance of TSN in cloud computing, considering different scenarios. Our results demonstrate that TSN can enhance the performance of time-sensitive application (360 -Virtual Reality videos) under certain conditions, but also highlight challenges in maintaining performance as cloud environments change. Furthermore, the study emphasizes the critical role of the convergence of computing and networking resources in meeting the stringent performance requirements of dynamic applications. This work offers valuable insights into the potential and limitations of TSN in cloud environments, providing a foundation for future research in this area.

Universidade Federal de Minas Gerais (BR)
Fundação de Amparo à Pesquisa do Estado de São Paulo, Conselho Nacional de Desenvolvimento Científico e Tecnológico, Fundação de Amparo à Pesquisa do Estado de Minas Gerais
Openalex Percentile: Top 80%
Software-Defined Networks and 5G
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Performance Analysis of the Integration of Dynamic Cloud Computing Environments and TSN Networks — Marcos Carvalho, Daniel F. Macedo · (2025) | TGRS Research Map | TGRS