This paper presents a novel framework for integrating quantum encryption techniques into federated cloud models. The architecture boosts cross-cloud data security, leveraging quantum-resistant algorithms to safeguard transmissions against advanced cyber threats while maintaining computational feasibility across diverse cloud systems.

Julian Marcus Redford, Clara Penelope Morton, Isaac George Wainwright, Sophie Harriet Dunford, Charles Adrian Litchfield

The paper proposes a machine learning-powered workload orchestrator that dynamically adjusts computing loads based on renewable energy availability. The solution promotes sustainable energy use in hybrid cloud systems, minimizing reliance on grid power while optimizing workload distribution across geographically dispersed data centers.

Edward Nathaniel Briggs, Matilda Louise Farrow, Sebastian Charles Harlow, Grace Amelia Lovelace, Henry William Langdon

This study outlines a blockchain-based data provenance mechanism that ensures auditability and compliance in healthcare cloud platforms. It enables transparent tracking of data modifications while supporting fine-grained access control, addressing stringent privacy regulations and healthcare information governance requirements.

Theodore Graham Millwood, Amelia Catherine Pemberton, Zachary Louis Darnell, Georgia Eloise Fenton, Oscar Benedict Drummond

This research introduces a resilient migration protocol for virtual network functions leveraging multi-path routing strategies. Designed for fault-tolerant distributed clouds, the system minimizes service disruption and latency during migrations, enhancing reliability of real-time services deployed in virtualized infrastructures.

Maxwell Harvey Giddens, Eleanor Beatrice Langham, Felix Dominic Radley, Imogen Matilda Holcroft, George Alastair Bowden

This paper proposes an edge-cloud collaborative architecture that reduces latency in industrial IoT analytics. Real-time decision-making is supported via on-site edge processing while bulk analytics and model training are performed in cloud backends, ensuring efficiency and responsiveness for time-sensitive operations.

Leonard Isaac Vickers, Florence Harriet Blakemore, Archie Elliot Mowbray, Evie Charlotte Hargrave, Harvey Jonathan Penn

We propose a reinforcement learning approach for service placement across federated cloud zones. The model dynamically adjusts placements based on latency, workload, and resource cost, optimizing operational efficiency while ensuring SLA compliance across heterogeneous cloud regions.

Dominic Oliver Farnsworth, Beatrice Alice Whittaker, Stanley Hugh Danforth, Ivy Madeline Shipman, Leo Franklin Ackerman

This study introduces a dynamic access control mechanism for multi-tenant clouds using layered identity attributes. Policies are updated in real-time, allowing flexible permission delegation while enhancing security and compliance in environments where users, tenants, and services rapidly change context.

Frederick Elliot Chambers, Ruby Grace Montague, Harrison Louis Pendleton, Clara Evelyn Sutherland, Thomas Edward Winfield