A survey on Quality of Service (QoS) methods for real-time and mission-critical applications

Quality of Service (QoS) for real-time and mission-critical applications represents the most sophisticated implementation of network prioritization technologies, ensuring reliable communication when milliseconds matter. This article explores advanced QoS mechanisms including ultra-precise traffic classification through deep packet inspection, specialized scheduling algorithms like Strict Priority Queuing and Low Latency Queuing, advanced buffer management techniques including Priority-Based Flow Control, and redundancy strategies incorporating packet duplication and AI-powered monitoring. These technologies work together to deliver deterministic network performance across critical sectors such as healthcare, industrial control systems, public safety networks, air traffic control, power grid management, military communications, and financial trading infrastructure. As digital transformation extends to increasingly critical functions, these QoS implementations become essential rather than optional, ensuring network performance remains reliable regardless of surrounding conditions.

Authors

Publication Details

Journal
World Journal of Advanced Engineering Technology and Sciences
Published
2025-05-06
DOI
https://doi.org/10.30574/wjaets.2025.15.2.0526
Primary Topic
Cloud Computing and Resource Management
Type
article
Field-Weighted Citation Impact
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article

A survey on Quality of Service (QoS) methods for real-time and mission-critical applications

V. Surya
World Journal of Advanced Engineering Technology and Sciences
Cloud Computing and Resource Management
article

A survey on Quality of Service (QoS) methods for real-time and mission-critical applications

V. Surya
article en

Abstract

Quality of Service (QoS) for real-time and mission-critical applications represents the most sophisticated implementation of network prioritization technologies, ensuring reliable communication when milliseconds matter. This article explores advanced QoS mechanisms including ultra-precise traffic classification through deep packet inspection, specialized scheduling algorithms like Strict Priority Queuing and Low Latency Queuing, advanced buffer management techniques including Priority-Based Flow Control, and redundancy strategies incorporating packet duplication and AI-powered monitoring. These technologies work together to deliver deterministic network performance across critical sectors such as healthcare, industrial control systems, public safety networks, air traffic control, power grid management, military communications, and financial trading infrastructure. As digital transformation extends to increasingly critical functions, these QoS implementations become essential rather than optional, ensuring network performance remains reliable regardless of surrounding conditions.

World Journal of Advanced Engineering Technology and SciencesVol. 15(2)
Openalex Percentile: Top 87%
Cloud Computing and Resource Management
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A survey on Quality of Service (QoS) methods for real-time and mission-critical applications — V. Surya · World Journal of Advanced Engineering Technology and Sciences (2025) | TGRS Research Map | TGRS