Proceedings of the International Conference on Advances and Applications in Artificial Intelligence (ICAAAI 2025)

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Performance Benchmarking of Pipelining Scheduling Algorithms Using AI and Data Visualization

Authors
Jaynendra Kumar Patel1, *, Ramesh Kumar Yadav2
1Department of Computer Science and Engineering, THE ICFAI University, Raipur, India
2Department of Computer Science and Engineering, Faculty of Science and Technology, THE ICFAI University, Raipur, India
*Corresponding author. Email: Jaynendrap.phd2023@iuraipur.edu.in
Corresponding Author
Jaynendra Kumar Patel
Available Online 22 June 2025.
DOI
10.2991/978-94-6463-738-0_97How to use a DOI?
Keywords
Pipelining Scheduling Algorithms; Comparative Analysis; Visualization Techniques; Robust Applications; Performance Optimization; Benchmarking; Data Visualization; Real-Time Systems
Abstract

Optimizing computational performance through efficient pipelining scheduling is crucial for high-performance and real-time applications. This paper introduces an AI-driven framework for benchmarking various scheduling algorithms, utilizing machine learning to enhance efficiency and optimize resource allocation. Additionally, AI-powered data visualization tools like Gantt charts and heatmaps offer deeper insights into scheduling performance and bottlenecks. The proposed approach is tested in cloud computing and HPC environments, showing notable improvements in throughput, latency, and fault tolerance. Future research will explore reinforcement learning for adaptive scheduling strategies.

Copyright
© 2025 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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Volume Title
Proceedings of the International Conference on Advances and Applications in Artificial Intelligence (ICAAAI 2025)
Series
Advances in Intelligent Systems Research
Publication Date
22 June 2025
ISBN
978-94-6463-738-0
ISSN
1951-6851
DOI
10.2991/978-94-6463-738-0_97How to use a DOI?
Copyright
© 2025 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

Cite this article

risenwbib
TY  - CONF
AU  - Jaynendra Kumar Patel
AU  - Ramesh Kumar Yadav
PY  - 2025
DA  - 2025/06/22
TI  - Performance Benchmarking of Pipelining Scheduling Algorithms Using AI and Data Visualization
BT  - Proceedings of the International Conference on Advances and Applications in Artificial Intelligence (ICAAAI 2025)
PB  - Atlantis Press
SP  - 1265
EP  - 1274
SN  - 1951-6851
UR  - https://doi.org/10.2991/978-94-6463-738-0_97
DO  - 10.2991/978-94-6463-738-0_97
ID  - Patel2025
ER  -