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- W2911889903 abstract "The state-of-the-art approaches for tracking data provenance on high-performance computing (HPC) systems are either supported by file systems or relational databases. These techniques shared the same critique on the provenance data’s fidelity and the associated I/O overhead. This paper envisions to track the HPC data provenance using a distributed in-memory ledger—the core technique leveraged by blockchains and proven to be highly trustworthy by many large-scale applications. We pinpoint two system challenges—storage architecture and consensus protocol—for adopting blockchains to HPC and make the following contributions: (i) We design a new in-memory blockchain architecture for HPC systems, exploiting the high-performance network infrastructure InfiniBand and greatly reducing the I/O overhead; and (ii) We develop a new consensus protocol, namely proof-of-reproducibility (PoR), crafted for the new architecture, which takes into account both proof-of-work (PoW) and proof-of-stake (PoS) mechanisms. The correctness of PoR is both theoretically proven and experimentally verified. A prototype system is implemented and evaluated with more than one million transactions, showing 32× speedup compared to the filesystem-based provenance service and four orders of magnitude speedup compared to the database-based provenance service." @default.
- W2911889903 created "2019-02-21" @default.
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- W2911889903 date "2018-12-01" @default.
- W2911889903 modified "2023-09-26" @default.
- W2911889903 title "In-memory Blockchain: Toward Efficient and Trustworthy Data Provenance for HPC Systems" @default.
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- W2911889903 doi "https://doi.org/10.1109/bigdata.2018.8621897" @default.
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