Demo Data from EDBT 2026 / reviewers in the wild / expert
Benjamin K. Sovacool
dblp:149/4658
· DBLP profile ↗
1ranked-venue papers
0as first author
1since 2021 · last 2026
0000-0002-4794-9403ORCID · verified
Domains — the database's venue-derived domains; a paper can count in several
Systems, architecture and hardware · 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 |
Cloud and datacenter computing · 61% Energy-efficient computing · 39% |
Topics — the 3 heaviest of 4, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Energy-efficient computing › datacenter power management
carbon-aware scheduling |
1.0 | 1 | 2026 | CarbonMeter: A Lightweight Framework for Achieving Sustainable and Cost-Efficient Data Centers · IEEE Trans. Computers 2026 |
Cloud and datacenter computing
workload shifting |
1.0 | 1 | 2026 | CarbonMeter: A Lightweight Framework for Achieving Sustainable and Cost-Efficient Data Centers · IEEE Trans. Computers 2026 |
Energy-efficient computing
datacenter power management |
0.3 | 1 | 2026 | CarbonMeter: A Lightweight Framework for Achieving Sustainable and Cost-Efficient Data Centers · IEEE Trans. Computers 2026 |
Methods — techniques the papers use, named apart from their topics
workload migration · 1.0carbon footprint estimation · 1.0
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2026 | CarbonMeter: A Lightweight Framework for Achieving Sustainable and Cost-Efficient Data CentersabstractAs both direct and embodied carbon emissions of data centers is expected to increase in coming years, estimating data center carbon footprints has become essential to understand and address the sustainability challenges. Due to the lack of publicly available data regarding data center operations and infrastructure, there is a need for tools that can provide carbon emission estimations with a minimal amount of data. To address this challenge, we present our open-source tool,CarbonMeter, which allows users to quickly generate carbon footprint estimates for a given data center, using only data center area and data center power capacity information.CarbonMeterallows users to easily adjust parameters that affect carbon emissions and provides a breakdown of operational and embodied footprint. Furthermore,CarbonMeterenables swift evaluation of workload migration strategies to optimize electricity costs, carbon emissions and renewable curtailment by using real-time signals in the Nordic region. We evaluate the benefits of workload migration decisions byCarbonMeteron multiple case studies encompassing data centers located in Norway, Denmark, and Germany. Our results show 6% to 21% electricity cost reductions, while reducing the carbon emissions up to 49%. Can Hankendi, Ayse K. Coskun, Benjamin K. Sovacool |
IEEE Trans. Computers | 3 |