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This research introduces a graph-reinforcement learning algorithm for routing API requests across cloud gateways. The method reduces latency by dynamically predicting optimal microservice paths, supporting real-time load balancing in high-throughput cloud environments.
Colton Zachary Blake, Zhang Wei Long, Nivedita Kiran Ramasamy, Matilda Rose Webb, Hugo Fernando Ortiz
Paper ID: 22220601 | ✅ Access Request |
This paper presents a contrastive learning framework for detecting anomalous flows in hybrid clouds. It creates contextual embeddings of network traffic, enabling accurate identification of subtle and evolving threats across public-private boundaries.
Marcus Elliott Shaw, Liu Yi Chen, Rajat Nandan Gokhale, Zoe Abigail Clarke, Henrique Augusto Barbosa
Paper ID: 22220602 | ✅ Access Request |
This study proposes a method for isolating serverless workflows by analyzing side-channel leakage risks. The framework integrates noise injection strategies and resilience metrics to ensure secure execution in multi-tenant environments.
Tristan Elijah Boone, Wang Fei Ying, Shreya Kamlesh Bhatt, Natalie Joan Carter, Victor Manuel Delgado
Paper ID: 22220603 | ✅ Access Request |
This research presents a hierarchical swarm intelligence model for autonomously orchestrating workloads between fog and cloud nodes. It uses bio-inspired agent behaviors to achieve efficient and adaptive task distribution in heterogeneous environments.
Hudson Xavier Cole, Zhao Lin Kai, Aarav Shankar Desai, Georgia Annabelle Bell, Felipe Ignacio Ramirez
Paper ID: 22220604 | ✅ Access Request |
This paper proposes a green indexing system for carbon-aware cloud migration. It prioritizes data relocation based on real-time carbon emissions of data centers, helping global providers minimize environmental impact through smart resource placement.
Asher Dominic Stone, Guo Qing Hua, Devansh Tejas Mishra, Phoebe Rachel Armstrong, Leonardo Javier Morales
Paper ID: 22220605 | ✅ Access Request |
This study introduces an optimized video transcoding system for edge-cloud pipelines. It eliminates redundant frames and applies batching based on quality metrics, reducing latency and compute usage while maintaining playback fidelity.
Frederick Owen Young, Liu Xi Ming, Parthasarathi Kiran Malhotra, Scarlett June Reynolds, Matteo Luis Rojas
Paper ID: 22220606 | ✅ Access Request |
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