Towards Full Stack Adaptivity in Permissioned Blockchains
Summary: A vision for learning-based, full-stack adaptivity in permissioned blockchains spanning transaction processing, Byzantine consensus, and cloud infrastructure. Runtime adaptation jointly responds to workloads, faults, hardware, networks, attacks, and resource disaggregation. (summarized by gpt-5.6-luna on Jul 24 2026)
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Authors
- 1. Chenyuan Wu (University of Pennsylvania)
- 2. Mohammad Javad Amiri (State University of New York at Stony Brook)
- 3. Haoyun Qin (University of Pennsylvania)
- 4. Bhavana Mehta (University of Pennsylvania)
- 5. Ryan Marcus (University of Pennsylvania)
- 6. Boon Thau Loo (University of Pennsylvania)
BibTeX Citation
@article{wu_vldb24,
title = {{Towards Full Stack Adaptivity in Permissioned Blockchains}},
author = {Wu, Chenyuan and Amiri, Mohammad Javad and Qin, Haoyun and Mehta, Bhavana and Marcus, Ryan and Loo, Boon Thau},
journal = {PVLDB},
series = {{VLDB} '24},
volume = {17},
number = {5},
pages = {1073--1080},
doi = {10.14778/3641204.3641216},
url = {https://doi.org/10.14778/3641204.3641216},
year = {2024}
}Incoming Citations (Sorted by Pagerank)
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| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 10,338 | Adaptive Sharding in Untrusted Environments | 2026 | SIGMOD | 5.093636e-05 |
| 10,356 | DAG of DAGs: Order-Fairness Made Practical | 2026 | SIGMOD | 5.093636e-05 |
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