Traditional Cloud

Traditional cloud computing, aiming to provide centralized data processing and resource management, is undergoing significant evolution. Current research focuses on optimizing cloud efficiency through techniques like fine-grained resource allocation (e.g., patch-level scheduling for image processing) and integrating edge computing to reduce latency and enhance security for applications like robotics and IoT monitoring. This shift towards hybrid cloud architectures and improved resource management is crucial for addressing the scalability and efficiency challenges posed by increasingly data-intensive applications across diverse fields, including finance and AI.