⏩ Volume 21, Issue No.4, 2023 (CCI)
A Decentralized Identity Management Framework for Multi-Tenant Cloud Environments Using Blockchain and Zero-Knowledge Proofs

This paper presents a secure identity management architecture for multi-tenant cloud systems, utilizing blockchain and zero-knowledge proofs to ensure privacy-preserving authentication across distributed cloud services without centralized authorities.

Julian Frederick O’Connor, Emily Rose Vickerman, Lewis Nathaniel Whitley, Claire Margaret Donnelly, Samuel Elias Worrall

Paper ID: 92321401
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Cross-Cloud Disaster Recovery Automation Using Policy-Driven Orchestration and AI-Powered Risk Prediction Engines

The study introduces an AI-driven orchestration layer that proactively manages disaster recovery across multiple clouds. It employs predictive analytics to assess risks, enforces compliance with organizational policies, and optimizes recovery time objectives across geographically distributed cloud regions.

Benjamin Oliver Keane, Amelia Grace Gillingham, Ethan George Rickard, Olivia Mae Stirling, Patrick Edward Bowles

Paper ID: 92321402
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Secure Collaborative Learning for Federated Cloud Workspaces Using Homomorphic Encryption and Differential Privacy

This paper develops a secure collaborative learning protocol for federated cloud-based workspaces. It integrates homomorphic encryption and differential privacy to protect sensitive training data while enabling distributed model updates among participants without compromising individual data confidentiality.

Jonathan Alfred Spence, Victoria Elaine Cartwright, Thomas Matthew Fenwick, Isabella Charlotte Worsley, George Lucas Drummond

Paper ID: 92321403
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Optimizing Serverless Microservices in Cloud-Native Architectures Through AutoML-Based Resource Profiling

The paper presents a novel AutoML-based approach for optimizing resource allocation in serverless microservices. By learning from historical workload data, the system profiles function behaviors and dynamically assigns compute resources to maximize throughput while minimizing execution cost and latency.

Harper Jane Crandall, Dylan Joseph Winthrop, Lily Frances Heaton, Owen Maxwell Stratton, Sophia Eleanor Brigham

Paper ID: 92321404
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Green Scheduling for Virtual Machine Clusters in Multi-Cloud Platforms Using Hybrid Energy-Aware Algorithms

This work proposes a hybrid algorithm for green scheduling of virtual machines across multi-cloud environments. It incorporates workload predictions and carbon footprint data to shift tasks to regions with renewable energy availability, lowering environmental impact without degrading performance metrics.

Henry Theodore Blackstone, Freya Juliet Wickham, Samuel Miles Redgrave, Grace Lillian Ashcroft, Alexander James Halston

Paper ID: 92321405
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