Demo Data from VLDB 2026 / reviewers in the wild / expert
Megan Kercher
dblp:131/4031
· DBLP profile ↗
1ranked-venue papers
0as first author
0since 2021 · last 2013
—ORCID · none
Domains — the database's venue-derived domains; a paper can count in several
Databases, data management, data science and information retrieval · 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 |
Cloud and datacenter computing · 100% | |
| Databases, data mining, and information retrieval
1 paper |
Distributed and cloud data management · 100% |
Topics — the 2 heaviest of 3, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Cloud and datacenter computing
cluster resource management and scheduling |
0.2 | 1 | 2013 | RTP: robust tenant placement for elastic in-memory database clusters · SIGMOD Conference 2013 |
Cloud and datacenter computing › multi-tenancy
tenant placement |
0.2 | 1 | 2013 | RTP: robust tenant placement for elastic in-memory database clusters · SIGMOD Conference 2013 |
Methods — techniques the papers use, named apart from their topics
elastic scaling algorithms · 0.3
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2013 | RTP: robust tenant placement for elastic in-memory database clustersabstractIn the cloud services industry, a key issue for cloud operators is to minimize operational costs. In this paper, we consider algorithms that elastically contract and expand a cluster of in-memory databases depending on tenants' behavior over time while maintaining response time guarantees. Jan Schaffner, Tim Januschowski, Megan Kercher, Tim Kraska, Hasso Plattner, Michael J. Franklin, Dean Jacobs |
SIGMOD Conference | 3 |