Edge Orchestration

Edge orchestration focuses on intelligently managing computing resources across distributed edge networks, aiming to optimize performance and efficiency for applications demanding low latency and high bandwidth. Current research emphasizes the development of simulation platforms and AI-driven orchestration models, including those based on deep reinforcement learning, to evaluate and improve resource allocation strategies like task offloading and dynamic pricing. This field is crucial for enabling the next generation of connected devices and applications, impacting both the advancement of software engineering methodologies and the practical deployment of efficient and scalable edge computing systems.