Demo Data from EDBT 2026 / reviewers in the wild / expert
Heidi Scott
dblp:16/2299
· DBLP profile ↗
1ranked-venue papers
0as first author
0since 2021 · last 2005
—ORCID · none
Domains — the database's venue-derived domains; a paper can count in several
Systems, architecture and hardware · 1Software engineering, systems software and programming languages · 1
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 |
Storage systems · 50% Memory systems · 50% |
Topics — the 2 heaviest of 2, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Storage systems › buffer management
buffer cache management |
0.1 | 1 | 2005 | Empirical evaluation of multi-level buffer cache collaboration for storage systems · SIGMETRICS 2005 |
Memory systems › cache management › chip multiprocessor cache management
cache coordination |
0.1 | 1 | 2005 | Empirical evaluation of multi-level buffer cache collaboration for storage systems · SIGMETRICS 2005 |
Methods — techniques the papers use, named apart from their topics
empirical evaluation · 0.1
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2005 | Empirical evaluation of multi-level buffer cache collaboration for storage systemsabstractTo bridge the increasing processor-disk performance gap, buffer caches are used in both storage clients (e.g. database systems) and storage servers to reduce the number of slow disk accesses. These buffer caches need to be managed effectively to deliver the performance commensurate to the aggregate buffer cache size. To address this problem, two paradigms have been proposed recently to collaboratively manage these buffer caches together: the hierarchy-aware caching maintains the same I/O interface and is fully transparent to the storage client software, and the aggressively-collaborative caching trades off transparency for performance and requires changes to both the interface and the storage client software. Before storage industry starts to implement collaborative caching in real systems, it is crucial to find out whether sacrificing transparency is really worthwhile, i.e., how much can we gain by using Yan Zhang 0004, Yuanyuan Zhou 0001, Heidi Scott, Berni Schiefer |
SIGMETRICS | 4 |