This paper explores the use of AI-based scheduling algorithms to optimize resource allocation in cloud systems. By using intelligent prediction models, the system ensures efficient task distribution, improves resource utilization, and minimizes operational costs while maintaining service quality in cloud computing environments.

Benjamin Lucas Thomas, Christopher Andrew James, Sarah Jane Mitchell, Matthew William Harris, Emma Elizabeth Clark

This research paper discusses the implementation of machine learning models for predictive maintenance in cloud computing infrastructures. By analyzing historical performance data and predicting hardware failures, the model helps prevent downtime and reduce maintenance costs, ensuring higher availability and reliability in cloud services.

James Michael Williams, Lily Rose Carter, Jacob Benjamin Davis, Olivia Emily Foster, Henry Charles Robinson

This study introduces a blockchain-based cloud security framework designed to enhance data integrity and privacy in distributed cloud environments. By leveraging the decentralized nature of blockchain, the system offers tamper-proof records, secure data transactions, and robust protection against malicious attacks on cloud infrastructures.

David Christopher Green, Sophie Marie Edwards, Alexander Robert Collins, Ella Victoria Carter, William Jacob Anderson

This paper focuses on optimizing cloud network traffic by using real-time data analytics and predictive algorithms. The proposed solution analyzes traffic patterns and predicts network congestion, enabling dynamic traffic routing to maintain optimal performance and reduce latency across cloud-based applications and services.

Samuel John Taylor, Hannah Grace Lee, Jack Ryan Smith, Grace Elizabeth King, Thomas Liam Harris

This research explores the use of cloud-based AI systems for predictive maintenance in industrial IoT environments. By leveraging machine learning algorithms and real-time data analytics, the solution detects faults early, reducing downtime, extending equipment lifespan, and optimizing maintenance schedules in industrial operations.

Michael James Robinson, Jennifer Anne Thompson, Alexander William Green, Linda Maria Thompson, Daniel Scott Edwards

This paper discusses a multi-layer security framework integrated with load balancing strategies to enhance the performance of cloud applications. The solution dynamically adjusts resources based on traffic loads, ensuring both robust security and optimal performance for cloud-hosted applications in critical environments.

Benjamin Charles Turner, Olivia Grace Mitchell, Christopher Thomas Harris, Isabella Claire Anderson, Lucas Matthew Johnson