Chen, Jinyu, Shi, Long, Cheng, Naijun, Zhou, Xun, Shao, Yulin, and Huang, Tao (2025) Decentralized Cooperative Caching for Web3.0: Framework Design and Latency Optimization. In: Proceedings of 2025 IEEE/CIC International Conference on Communications in China. From: ICCC 2025: IEEE/CIC International Conference on Communications in China, 10-13 August 2025, Shanghai, China.

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Abstract

In decentralized architectures of Web3.0, a critical efficiency challenge is that redundant data replication degrades the performance of distributed data access. To address this challenge, we develop a Decentralized Cooperative Caching (DC-Cache) framework for Web3.0. The proposed framework features a two-layer architecture, wherein the Decentralized Oracle Network (DON) layer serves as a trusted intermediary platform for decentralized caching, bridging the contents from decentralized storage and the content requests from users. Targeting the complexity of Web3.0 network topologies and data flows, we propose a Deep Reinforcement Learning-Based Decentralized Caching (DRL-DC) for DC-Cache to dynamically optimize caching strategies of distributed oracles. Experimental results show that, compared with existing caching strategies, DCCache with DRL-DC reduces average access latency by 20% and increases the cache hit rate by at most 18%.

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