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This study introduces a reinforcement learning framework to manage autoscaling in hybrid cloud systems. It dynamically adjusts resource allocation by predicting demand patterns, thereby maintaining optimal performance and minimizing costs in multi-cloud orchestration scenarios across public and private infrastructure.
Lars Benedict Voss, Priyanka Mohanraj Dev, Hu Wei Liang, Carla Jasmine Thompson, Tomasz Marek Nowicki
Paper ID: 92220401 | ✅ Access Request |
This paper presents a blockchain-based logging and audit trail solution for multi-cloud systems. The framework ensures data integrity and regulatory compliance for international data flows, utilizing immutable ledgers to track and verify actions across geographically distributed cloud infrastructures.
Wei Ming Qian, Rebecca Marie O’Donnell, Suresh Anand Khanna, Luiz Fernando Martins, Helena Sophie Müller
Paper ID: 92220402 | ✅ Access Request |
This research proposes a federated learning framework for training AI models across cloud data centers without centralized data aggregation. The model upholds privacy regulations and reduces bandwidth usage by synchronizing weights instead of raw data, supporting compliance with global data policies.
Chang Li Wen, Oscar Nathaniel Brooks, Aditi Manasa Tripathi, Pierre Alexandre Fontaine, Martina Linda Schulz
Paper ID: 92220403 | ✅ Access Request |
This work presents a graph neural network-based scheduling algorithm for serverless cloud platforms. By modeling inter-function dependencies and execution delays, the approach reduces latency and minimizes cost, especially under volatile load conditions in highly modular cloud-native applications.
Haruto Masaki Tanaka, Olivia Claire Beaumont, Rajeev Karthik Prasad, Isabella Noelle Grant, Henrik Marius Falk
Paper ID: 92220404 | ✅ Access Request |
This paper explores an energy-efficient virtual machine placement algorithm using ant colony optimization tailored for renewable-powered cloud data centers. It considers green energy availability, workload migration costs, and latency to reduce carbon footprint while ensuring service-level agreement compliance.
Chloe Bridget Ainsworth, Yi Sheng Lin, Ramesh Krishnan Nair, Antonio Luís Estevez, Fiona Margaret Chen
Paper ID: 92220405 | ✅ Access Request |
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