This study proposes a knowledge-graph-based approach to reconfigure cloud networks autonomously. By learning inter-service dependencies and performance bottlenecks, it dynamically updates routing paths to ensure service availability for multi-tenant applications across hybrid infrastructures.

Harvey Quentin Ellsworth, Matilda Clara Thorndale, Felix Graham Northwood, Eleanor Grace Langford, Samuel Tobias Wrenford

This work introduces an AI-driven data tiering mechanism for cloud object storage. The model dynamically classifies and migrates cold data across cost-efficient tiers while ensuring quick retrieval and scalability in archive-intensive environments such as genomics and satellite data processing.

Penelope Jane Weatherby, Hugo Sebastian Redmond, Georgia Harriet Lonsdale, Arthur Vincent Farrow, Florence Beatrice Windham

This paper proposes a stateless function replication scheme for deploying machine learning models in edge-cloud environments. It ensures continuous service despite node failures, enabling robust execution of inference tasks critical to autonomous systems and healthcare analytics.

Clara Vivienne Ashbury, Oscar Frederick Wellington, Imogen Rosalind Fairburn, Dominic Ellis Southgate, Helena May Ashcroft

This research presents a feedback-based scheduling algorithm to balance workloads in serverless cloud platforms. It dynamically adjusts invocation timing across function replicas to reduce contention and cold starts while improving cost-efficiency and latency performance in high-frequency usage scenarios.

Rufus Maxwell Haddington, Isabella Mae Pembroke, Casper Lionel Wexford, Tabitha Eve Grafton, Jasper Dominic Elsworth

We present a decentralized identity management framework for multi-cloud platforms using edge wallets and verifiable credentials. This architecture aligns with zero-trust principles and enables secure user authentication and role-based access without relying on central authority nodes.

Henry Laurence Redfield, Matilda Florence Clay, Edwin Albert Breckridge, Charlotte Isobel Fernleigh, Nathaniel Rupert Holloway

This study introduces a context-aware autoscaling algorithm for federated cloud environments. It evaluates latency-sensitive service metrics and container dependencies to orchestrate horizontal scaling, ensuring compliance with user response benchmarks in healthcare, finance, and real-time collaboration workloads.

Lucinda Rose Ellingham, Cedric Malcolm Brentwood, Annabelle Juliet Gainsford, Tobias Everett Loxley, Florence Lydia Ravenscroft

This work presents a dynamic policy enforcement system to manage cross-cloud data sharing under GDPR regulations. Policies adapt in real-time to data transformations across analytics pipelines, preserving audit trails and user consent across heterogeneous cloud infrastructures.

Beatrice Emily Arkwright, Hugo Nathaniel Cranleigh, Rosalind Georgia Featherstone, Vincent James Alden, Eliza Madeleine Newcombe