This study presents an access-aware container framework for federated cloud environments. It isolates multi-tenant services through policy-based identity controls and minimizes lateral attack surfaces while preserving microservice orchestration latency across shared nodes.

Harvey Quentin Johnson, Bianca Florence Moreau, Felix Gerhard Steinmann, Tyler Jonathan O’Rourke, Natalia Irina Bergstrom

This study explores real-time load balancing strategies in fault-tolerant microservices across hybrid clouds. It enhances uptime and reduces latency through dynamic request routing, enabling resilient service delivery even under fluctuating resource demands and partial system failures across multi-cloud infrastructures.

Evelyn Grace Thomas, Lucas Matthew Green, Benjamin Alan Crawford, Fiona Claire Monroe, Arthur Henry Olsen

This paper introduces a federated learning-based approach for anomaly detection in cloud-native environments. By decentralizing training, the model improves privacy, detects real-time threats, and reduces central overhead, empowering secure operations in large-scale, distributed computing architectures.

Harold Vincent Graham, Zoe Michelle Armstrong, Dylan Patrick Monroe, Natalie Eva Simmons, Raymond Leo Cartwright

This paper proposes an AI-driven resource scaling algorithm to optimize cost efficiency in multi-tenant cloud environments. Leveraging predictive analytics, it adapts workloads dynamically, ensuring service-level agreements are met while reducing unnecessary resource usage and maximizing operational expenditure benefits.

Clara Josephine Hayes, Theodore Maxwell Dalton, Penelope Irene Bowers, Simon Victor Fields, Amelia Margaret Pearson

This paper compares data caching strategies between edge-oriented and core-oriented systems in decentralized cloud architectures. It evaluates latency, data consistency, and energy use, providing insights into which strategy better supports emerging real-time applications in bandwidth-constrained environments.

Julian Robert Kingsley, Rebecca Elaine Martin, Oscar Franklin Wells, Emily Theresa Gallagher, Vincent Daniel Porter

This paper examines scalable consensus models integrating blockchain for secure financial transactions across multi-cloud platforms. It introduces an efficient protocol balancing decentralization and throughput, reducing confirmation delays and energy costs while preserving trust and verifiability in cross-provider environments.

Frederick Nathaniel Wolfe, Alice Lorraine Hughes, Sebastian Joel Crawford, Matilda Grace Whitaker, Jonathan Felix Doyle

This study explores Zero-Trust architectural models for containerized cloud services operating in public infrastructure. The patterns proposed eliminate implicit trust zones, reinforce authentication layers, and enhance service segmentation to mitigate threats, improving the overall resilience of cloud-based microservice platforms.

Miranda Louise Beckett, George Elliot Nolan, Veronica Faith Walters, Samuel Anthony Richmond, Fiona Bernadette Moore