Smart Animation Cities: Mobile Edge Computing and Big Data Analytics for Enhancing Interactive Animated Scenes and Characters

Abstract

The integration of Mobile Edge Computing (MEC) and Big Data Analytics is revolutionizing the development of interactive animated scenes and characters in smart animation cities. By leveraging MEC, computational tasks are processed closer to end-users, reducing latency and enhancing real-time responsiveness in animated environments. Meanwhile, Big Data Analytics facilitates dynamic content generation, behavior prediction, and personalized interactions, improving the realism and interactivity of animated characters. This paper explores how these technologies contribute to more immersive and intelligent animation systems, enabling real-time adaptation to user inputs and environmental changes. Case studies and experimental results demonstrate the impact of edge-based architectures in optimizing animation performance, reducing bandwidth consumption, and delivering seamless experiences in smart animation ecosystems. The findings highlight the potential of MEC and Big Data Analytics in shaping the future of next-generation interactive animation.