English

TINC: Trusted Intelligent NetChain

Networking and Internet Architecture 2025-11-04 v1 Distributed, Parallel, and Cluster Computing

Abstract

Blockchain technology facilitates the development of decentralized systems that ensure trust and transparency without the need for expensive centralized intermediaries. However, existing blockchain architectures particularly consortium blockchains face critical challenges related to scalability and efficiency. State sharding has emerged as a promising approach to enhance blockchain scalability and performance. However, current shard-based solutions often struggle to guarantee fair participation and a balanced workload distribution among consortium members. To address these limitations, we propose Trusted Intelligent NetChain (TINC), a multi-plane sharding architecture specifically designed for consortium blockchains. TINC incorporates intelligent mechanisms for adaptive node assignment and dynamic workload balancing, enabling the system to respond effectively to changing network conditions while maintaining equitable shard utilization. By decoupling the control and data planes, TINC allows control nodes to focus on consensus operations, while data nodes handle large-scale storage, thus improving overall resource efficiency. Extensive experimental evaluation and formal analysis demonstrate that TINC significantly outperforms existing shard-based blockchain frameworks. It achieves higher throughput, lower latency, balanced node and transaction distributions, and reduced transaction failure rates. Furthermore, TINC maintains essential blockchain security guarantees, exhibiting resilience against Byzantine faults and dynamic network environments. The integration of Dynamic Decentralized Identifiers (DDIDs) further strengthens trust and security management within the consortium network.

Keywords

Cite

@article{arxiv.2511.00823,
  title  = {TINC: Trusted Intelligent NetChain},
  author = {Qi Xia and Hu Xia and Isaac Amankona Obiri and Adjei-Arthur Bonsu and Grace Mupoyi Ntuala and Ansu Badjie and Tienin Bole Wilfried and Jiaqin Liu and Lan Ma and Jianbin Gao and Feng Yao},
  journal= {arXiv preprint arXiv:2511.00823},
  year   = {2025}
}

Comments

17 pages, 22 figures This preprint has been submitted to IEEE Transactions on Networking and is currently under peer review. The content may be updated based on the review outcome. \c{opyright} The authors. All rights reserved. Distributed under the arXiv non-exclusive license

R2 v1 2026-07-01T07:17:52.730Z