Demo Data from EDBT 2026 / reviewers in the wild / expert
Rakeeb Hossain
dblp:373/6962
· DBLP profile ↗
1ranked-venue papers
0as first author
1since 2021 · last 2024
0009-0009-2771-5421ORCID · reported
Domains — the database's venue-derived domains; a paper can count in several
Systems, architecture and hardware · 1 · 1 since 2021Software engineering, systems software and programming languages · 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 |
Memory systems · 77% Storage systems · 23% | |
| Software engineering, system software, and programming languages
1 paper |
Operating systems · 100% |
Topics — the 3 heaviest of 3, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Operating systems › fault tolerance
checkpoint and rollback |
0.8 | 1 | 2024 | MemSnap μCheckpoints: A Data Single Level Store for Fearless Persistence · ASPLOS (3) 2024 |
Memory systems › memory management
single level store |
0.8 | 1 | 2024 | MemSnap μCheckpoints: A Data Single Level Store for Fearless Persistence · ASPLOS (3) 2024 |
Storage systems › logging
write-ahead logging |
0.2 | 1 | 2024 | MemSnap μCheckpoints: A Data Single Level Store for Fearless Persistence · ASPLOS (3) 2024 |
Methods — techniques the papers use, named apart from their topics
data checkpointing · 1.5
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2024 | MemSnap μCheckpoints: A Data Single Level Store for Fearless PersistenceabstractSingle level stores (SLSes) have recently resurfaced as a system for persisting application data. SLSes like EROS, Aurora, and TreeSLS use application checkpointing to replace file-based APIs. These systems checkpoint at a coarse granularity and must be combined with file persistence mechanisms like WALs, undermining the benefits of their SLS design. Emil Tsalapatis, Ryan Hancock, Rakeeb Hossain, Ali José Mashtizadeh |
ASPLOS (3) | 3 |