Artificial Intelligence BlockCloud (AIBC) Technical Whitepaper
This addresses the problem of high costs and inefficiencies in resource sharing for decentralized systems, though it appears incremental by combining existing AI and blockchain technologies.
The paper tackles the challenge of creating a decentralized ecosystem for sharing computing and storage resources by proposing AIBC, which uses a two-consensus scheme with DABFT and DPoEV to balance performance, robustness, and security, achieving low-cost resource sharing.
The AIBC is an Artificial Intelligence and blockchain technology based large-scale decentralized ecosystem that allows system-wide low-cost sharing of computing and storage resources. The AIBC consists of four layers: a fundamental layer, a resource layer, an application layer, and an ecosystem layer. The AIBC implements a two-consensus scheme to enforce upper-layer economic policies and achieve fundamental layer performance and robustness: the DPoEV incentive consensus on the application and resource layers, and the DABFT distributed consensus on the fundamental layer. The DABFT uses deep learning techniques to predict and select the most suitable BFT algorithm in order to achieve the best balance of performance, robustness, and security. The DPoEV uses the knowledge map algorithm to accurately assess the economic value of digital assets.