⏩ Volume 20, Issue No.4, 2022 (CCI)
Elastic Autoscaling in Hybrid Cloud Architectures Using Reinforcement Learning for Predictive Resource Optimization

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
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Blockchain-Enabled Secure Audit Trail System for Multi-Cloud Environments in Cross-Border Data Transactions

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
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A Federated Learning Approach for Privacy-Preserving Model Training Across Distributed Cloud Data Centers

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
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Dynamic Cloud Function Scheduling Using Graph Neural Networks to Optimize Serverless Latency and Cost Trade-offs

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
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Energy-Aware Virtual Machine Placement Strategy Using Ant Colony Optimization in Renewable-Powered Cloud Data Centers

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
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