HPCBL: A Privacy-Preserving Data Computing Model for the Supercomputing Internet
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.
Authors
- Chunfu Jia (ORCID: https://orcid.org/0000-0002-5588-9690)
- Lianhai Wang (ORCID: https://orcid.org/0000-0002-5701-3465)
- Shujiang Xu (ORCID: https://orcid.org/0000-0001-9151-2834)
- Qizheng Wang (ORCID: https://orcid.org/0000-0001-9126-8050)
- Wei Shao (ORCID: https://orcid.org/0000-0002-2401-009X)
- Jinpeng Wang (ORCID: https://orcid.org/0000-0001-5764-9589)
- Mingyue Li (ORCID: https://orcid.org/0000-0002-7627-3561)
- Shuhui Zhang (ORCID: https://orcid.org/0000-0001-5017-3207)
Institutions
- Qilu University of Technology (CN)
- Nankai University (CN)
- Shandong Academy of Sciences (CN)
- Hebei University (CN)
Publication Details
- Journal
- IEEE Transactions on Cloud Computing
- Published
- 2025-09-01
- DOI
- https://doi.org/10.1109/tcc.2025.3604606
- Primary Topic
- Advanced Data Storage Technologies
- Type
- article
- Field-Weighted Citation Impact
- 0.00