Enhancing QOS in Application Layer with Artificial Intelligence and Machine Learning: A Comprehensive Review

Authors

  • Qutaiba Ibrahem Ali Compuyter Departmentt/College of Engineering, University of Mosul, Iraq
  • Yusra Mahmoud Ayoob Compuyter Departmentt/College of Engineering, University of Mosul, Iraq

DOI:

https://doi.org/10.59287/as-proceedings.729

Keywords:

Artificial Intelligence (AI), Machine learning (ML), Deep Learning, QOS, Web Service, Application Layer, Artificial Intelligence (AI), Machine learning (ML), Deep Learning, QOS, Web Service, Application Layer

Abstract

– The In the burgeoning digital landscape, where applications govern our daily interactions, delivering a seamless and high-quality experience is paramount. However, ensuring Quality of Service (QoS) at the application layer presents unique challenges. Traditional network-level QoS mechanisms often fall short when grappling with dynamic application demands and heterogeneous user contexts. This review paper delves into the burgeoning field of AI/ML-powered QoS at the application layer, exploring its potential to revolutionize the way we manage and deliver critical services.

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Published

2023-12-29

How to Cite

Ali, Q. I., & Ayoob , Y. M. (2023). Enhancing QOS in Application Layer with Artificial Intelligence and Machine Learning: A Comprehensive Review. AS-Proceedings, 1(7), 459–466. https://doi.org/10.59287/as-proceedings.729

Issue

Vol. 1 No. 7 (2023): Proceeding Book of 3rd International Conference on Scientific and Academic Research ICSAR 2023

Section

Conference Papers