Dependency-Aware AI Pipeline Orchestration Through Intelligent Recovery for Secure Cloud Operations Automation
Abstract
Modern cloud operations increasingly depend on complex AI and data pipelines containing multiple interconnected tasks, services, models, and infrastructure resources. Failures in one component can propagate through dependency chains, resulting in pipeline interruption, inconsistent outputs, security exposure, and inefficient resource utilization. This study proposes a dependency-aware AI pipeline orchestration framework that combines dependency modeling, intelligent failure detection, predictive recovery, and security-aware cloud automation. The framework represents pipeline tasks as dependency graphs and continuously analyzes execution states, service health, resource conditions, and operational telemetry to identify failure patterns and determine recovery priorities. Machine learning models are incorporated to classify failures and predict the probability of task-level disruption, while an intelligent recovery mechanism dynamically selects actions such as retry, restart, rollback, rescheduling, dependency isolation, or alternative resource allocation. Security policies are integrated into orchestration decisions to prevent unauthorized recovery actions and preserve data and workload integrity. The proposed methodology evaluates orchestration efficiency using recovery time, failure detection accuracy, pipeline completion rate, resource utilization, and security-policy compliance. Experimental analysis is designed to compare dependency-aware recovery with conventional static retry and rule-based orchestration approaches. The framework aims to improve resilience, automation, operational continuity, and secure execution of AI pipelines across dynamic cloud environments.
Article Information
Journal |
International Journal of Science, Research and Technology |
|---|---|
Volume (Issue) |
Vol. 8 No. 6 (2025): International Journal of Science, Research and Technology (IJSRAT) |
DOI |
|
Pages |
15550-15557 |
Published |
November 18, 2025 |
| Copyright |
All rights reserved |
Open Access |
This work is licensed under a Creative Commons Attribution 4.0 International License. |
How to Cite |
Dr. Sakinat Oluwabukonla Folorunso (%2025). Dependency-Aware AI Pipeline Orchestration Through Intelligent Recovery for Secure Cloud Operations Automation. International Journal of Science, Research and Technology , Vol. 8 No. 6 (2025): International Journal of Science, Research and Technology (IJSRAT) , pp. 15550-15557. https://doi.org/10.15662/IJSRAT.2025.0806029 |
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