Autonomous QoS Optimization for Delay-Tolerant Mobile Edge Cloud and Content Delivery

This proposal introduces an autonomous Quality of Service (QoS) optimization framework for delay-tolerant mobile edge cloud (MEC) and content delivery networks (CDNs) in space. As NASA's Artemis program and other deep-space missions expand, there is a growing need for high-volume, latency-sensitive data transmission and real-time computing capabilities in extreme environments. Our technology enhances edge computing, adaptive caching, and dynamic task offloading in lunar, Martian, and orbital networks, optimizing network efficiency and reducing reliance on Earth-based infrastructure. This research will focus on developing QoS-driven MEC and CDN architectures to enable: - Autonomous content caching for high-definition multimedia streaming on the lunar surface. - Adaptive edge computing for mission-critical applications, such as rover navigation, astronaut support, and science data return. - Scalable multi-hop caching and routing algorithms to enhance connectivity in intermittent space networks. The requested funding will support the design, prototyping, and validation of these architectures in simulated space environments. Our target markets include NASA, commercial space companies, and defense organizations looking to improve data processing and delivery for remote operations.