This paper proposes a self-supervised learning model for anomaly detection in cloud infrastructure. Using unlabeled historical data, it identifies patterns that precede failures, allowing timely intervention and improving service reliability without manual labeling efforts.

Oscar Damian Whitman, Fang Ming Yu, Rakesh Neeraj Batra, Evie Charlotte Black, Felipe Tomas Rios

This research introduces a contextual bandit-based system for optimizing cloud applications. It learns from runtime histories to suggest adaptive configurations that balance cost, latency, and throughput, minimizing human tuning efforts in complex deployment pipelines.

Tristan Wyatt Hall, Wang Zhi Rong, Vandana Laxmi Narayanan, Annabelle Grace Doyle, Thiago Augusto Barreto

This paper presents a temporal convolutional neural network model for forecasting cloud workload demands. The method improves resource planning and cost efficiency for utility-based cloud models using multi-scale temporal features from real-time system metrics.

Gabriel Levi Matthews, Xiao Qing Hua, Anuj Krishna Madhav, Freya Louise Stanton, Nicolas Eduardo Ramos

This study introduces a predictive replication strategy for cross-region cloud data. Using file access frequency and temporal sync windows, the model reduces latency and enhances consistency across geographically distributed cloud environments.

Jonathan Hugo Drake, Liu Fen Xia, Rahul Pradeep Menon, Phoebe Annette Caldwell, Miguel Alonso Serrano

This work presents a migration method for live cloud applications using event replay and checkpoint snapshots. It enables zero-downtime transitions across federated clouds, supporting seamless failover and workload rebalancing during planned maintenance or outages.

Ethan Russell Greene, Zhang Wen Jie, Divya Chandrasekhar Iyer, Harriet Amelia Rhodes, Santiago Carlos Jimenez

This paper introduces a sustainable cloud gaming solution that minimizes bandwidth and latency using adaptive video compression. Edge nodes dynamically offload compute-intensive rendering tasks, reducing central load and improving user experience in scalable gaming architectures.

Zachary Felix Morgan, Xu Li Wen, Shweta Vinod Kulkarni, Daisy Claire Benson, Enrique Manuel Alvarez