This article addresses the challenges of managing the growing data volume in Mobile AI-Generated Content (AIGC) systems. It proposes a Layer-2 reputation roll-up mechanism that minimizes storage requirements by compressing historical transaction data. The system utilizes SHA256 hashing to create compact reputation records, enabling efficient data management. By reducing the storage burden on mobile application service providers (MASPs), the approach enhances scalability and performance in mobile networks, ultimately contributing to improved quality of experience (QoE) for users.
In today's rapidly evolving mobile landscape, it has become essential to efficiently manage the rapidly growing data generated in Mobile AIGC environments. Traditional approaches to reputation management are no longer viable.
The proposed Layer-2 architecture, incorporating reputation roll-up and duplex transfer channels, seeks to alleviate the burden of data storage in MASPs by compressing historical transaction data.
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