Demo Data from EDBT 2026 / reviewers in the wild / expert
Willi-Wolfram Mentzel
dblp:181/5861
· DBLP profile ↗
1ranked-venue papers
0as first author
0since 2021 · last 2016
—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 |
Energy-efficient computing · 100% | |
| Databases, data mining, and information retrieval
1 paper |
Query processing and optimization · 100% |
Topics — the 1 heaviest of 2, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Energy-efficient computing › energy-efficient software
energy-efficient database system |
0.2 | 1 | 2016 | Energy Elasticity on Heterogeneous Hardware using Adaptive Resource Reconfiguration LIVE · SIGMOD Conference 2016 |
Methods — techniques the papers use, named apart from their topics
energy-control loop · 0.5
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2016 | Energy Elasticity on Heterogeneous Hardware using Adaptive Resource Reconfiguration LIVEabstractEnergy awareness of database systems has emerged as a critical research topic, since energy consumption is becoming a major limiter for their scalability. Recent energy-related hardware developments trend towards offering more and more configuration opportunities for the software to control its own energy consumption. Existing research so far mainly focused on leveraging this configuration spectrum to find the most energy-efficient configuration for specific operators or entire queries. In this demo, we introduce the concept of energy elasticity and propose the energy-control loop as an implementation of this concept. Energy elasticity refers to the ability of software to behave energy-proportional and energy-efficient at the same time while maintaining a certain quality of service. Thus, our system does not draw the least energy possible but the least energy necessary to still perform reasonably. We demonstrate our overall approach using a rich interactive GUI to give attendees the opportunity to learn more about our concept. Annett Ungethüm, Thomas Kissinger, Willi-Wolfram Mentzel, Dirk Habich, Wolfgang Lehner |
SIGMOD Conference | 3 |