Challenges and fundamental theoretical problems of super-converged generative information network

Area of Science:

• Computer Science
• Telecommunications Engineering
• Network Architecture

Background:

• The concept of Super-converged Generative Information Network (SoGIN) emerges from the need for integrated human-physical and digital networks.
• Development requirements include space-air-ground integration, computing-storage-sensing-intelligence integration, and availability-reliability-trustworthiness integration.

Purpose of the Study:

• To elaborate on the development vision and demands of SoGIN.
• To analyze the theoretical and technical challenges in achieving the SoGIN vision.
• To describe related theoretical and technical practices for SoGIN implementation.

Main Methods:

• Analysis of SoGIN's development vision and requirements.
• Identification and discussion of theoretical and technical challenges.
• Review of practices in polymorphic network environments, cloud-native infrastructures, cybersecurity, cyberspace resilience, and wafer-level computing.

Main Results:

• Elaboration of SoGIN's vision for an AI-empowered, highly integrated, and trustworthy intelligent information network.
• Identification of key challenges in achieving space-air-ground integration and computing-storage-sensing-intelligence fusion.
• Discussion of foundational technologies including cloud-native infrastructure, endogenous security and safety (ESS), and wafer-level computing.

Conclusions:

• SoGIN offers a foundational support environment for realizing 6G visions through the deep integration of digital-operation-information-communication technology (DOICT).
• Addressing the identified theoretical and technical challenges is crucial for the successful development and deployment of SoGIN.
• Advancements in cybersecurity, network resilience, and computing hardware are essential components for the next-generation digital systems underpinning SoGIN.