Cloud Service

Cloud services research centers on optimizing the efficiency, security, and cost-effectiveness of cloud-based systems. Current efforts focus on developing advanced anomaly detection methods using graph neural networks and transformer-based models to improve system reliability and predict performance issues, alongside optimizing resource allocation and energy consumption through machine learning techniques like convolutional neural networks and recurrent neural networks. These advancements are crucial for enhancing the security and performance of cloud infrastructure, impacting various sectors from healthcare (via improved medical image analysis) to robotics (through optimized multi-cloud deployments) and ultimately driving innovation across numerous scientific and industrial applications.