Demo Data from EDBT 2026 / reviewers in the wild / expert
Celine Sana
dblp:434/0772
· DBLP profile ↗
1ranked-venue papers
0as first author
1since 2021 · last 2026
0009-0000-0592-7137ORCID · reported
Domains — the database's venue-derived domains; a paper can count in several
Databases, data management, data science and information retrieval · 1 · 1 since 2021
Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.
| Computer architecture, parallel and distributed computing, and storage systems
1 paper |
Distributed systems · 100% | |
| Network and information security
1 paper |
Blockchain and cryptocurrency security · 100% |
Topics — the 2 heaviest of 2, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Distributed systems
consensus |
1.0 | 1 | 2026 | Proof-of-Execution: Low-Latency Consensus via Speculative Execution · ACM Trans. Database Syst. 2026 |
Blockchain and cryptocurrency security
blockchain data management |
0.3 | 1 | 2026 | Proof-of-Execution: Low-Latency Consensus via Speculative Execution · ACM Trans. Database Syst. 2026 |
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2026 | Proof-of-Execution: Low-Latency Consensus via Speculative ExecutionabstractThe introduction of Bitcoin fueled the development of blockchain-based resilient data management systems that are resilient against failures, enable federated data management, and can support data provenance. The key factor determining the performance of such resilient data management systems is the consensus protocol used by the system to replicate client transactions among all participants. Unfortunately, existing high-throughput consensus protocols are costly and impose significant latency on transaction processing, which rules out their usage in responsive high-performance data management systems. In this work, we improve on this situation by introducing the Proof-of-Execution consensus protocol ( PoE ), a consensus protocol designed for high-performance low-latency resilient data management. PoE introduces speculative execution , which minimizes latency by starting execution before consensus is reached, and PoE introduces proof-of-executions to guarantee successful execution to clients. Furthermore, PoE introduces a single-round check-commit protocol to reduce the overall communication costs of consensus. Hence, we believe that PoE is a promising step towards flexible general-purpose low-latency resilient data management systems. Jelle Hellings, Suyash Gupta 0001, Sajjad Rahnama, Junchao Chen 0003, Celine Sana, Mohammad Sadoghi |
ACM Trans. Database Syst. | 5 |