EDBT 2026 Demo / reviewers in the wild / expert
Ryan Beauchea
dblp:50/10441
· DBLP profile ↗
2ranked-venue papers
0as first author
0since 2021 · last 2015
—ORCID · none
Domains — the database's venue-derived domains; a paper can count in several
Systems, architecture and hardware · 1Computer networks · 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 · 61% Energy-efficient computing · 39% |
Topics — the 4 heaviest of 4, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Cloud and datacenter computing › resource management
datacenter resource management |
0.1 | 1 | 2011 | GreenSlot: scheduling energy consumption in green datacenters · SC 2011 |
Energy-efficient computing › energy-aware scheduling
green energy-aware scheduling |
0.1 | 1 | 2011 | GreenSlot: scheduling energy consumption in green datacenters · SC 2011 |
Cloud and datacenter computing
job scheduling |
0.1 | 1 | 2011 | GreenSlot: scheduling energy consumption in green datacenters · SC 2011 |
Energy-efficient computing
renewable energy |
0.0 | 1 | 2011 | GreenSlot: scheduling energy consumption in green datacenters · SC 2011 |
Methods — techniques the papers use, named apart from their topics
solar energy prediction · 0.1deadline-aware scheduling · 0.1
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2015 | Matching renewable energy supply and demand in green datacenters
Íñigo Goiri, Md. Enamul Haque, Kien Le, Ryan Beauchea, Thu D. Nguyen, Jordi Guitart, Jordi Torres, Ricardo Bianchini |
Ad Hoc Networks | 4 |
| 2011 | GreenSlot: scheduling energy consumption in green datacentersabstractIn this paper, we propose GreenSlot, a parallel batch job scheduler for a datacenter powered by a photovoltaic solar array and the electrical grid (as a backup). GreenSlot predicts the amount of solar energy that will be available in the near future, and schedules the workload to maximize the green energy consumption while meeting the jobs' deadlines. If grid energy must be used to avoid deadline violations, the scheduler selects times when it is cheap. Our results for production scientific workloads demonstrate that Green-Slot can increase green energy consumption by up to 117% and decrease energy cost by up to 39%, compared to a conventional scheduler. Based on these positive results, we conclude that green datacenters and green-energy-aware scheduling can have a significant role in building a more sustainable IT ecosystem. Íñigo Goiri, Ryan Beauchea, Kien Le, Thu D. Nguyen, Md. Enamul Haque, Jordi Guitart, Jordi Torres, Ricardo Bianchini |
SC | 2 |