HPCBL: A Privacy-Preserving Data Computing Model for the Supercomputing Internet
Wei Shao, Lianhai Wang, Chunfu Jia, Jinpeng Wang, Shujiang Xu, Shuhui Zhang, Mingyue Li, Qizheng Wang · IEEE Transactions on Cloud Computing · 2025
HPC-cloud is becoming popular as it allows supercomputers to provide computing service with parallelism and high performance based on public cloud technology. Moreover, supercomputers across organizations are forming a network to scale the computational and storage capability of their service. However, the distributed computing process in the supercomputer internet requires a large amount of data transmission and access, arousing privacy and control problems. In this paper, we propose HPCBL, a blockchain-enabled decentralized data computing architecture that ensures private data sharing and computing in the Supercomputer Internet. We also propose a decentralized authentication scheme that entitles users the full control of their anonymous identity to support user private interactions with the Supercomputing Internet. The scheme supports anonymous self-derivative credentials for pair-wised access control and user-optional accountability without a trusted arbiter. We implemented a HPCBL prototype to empirically assess its performance.