Demo Data from EDBT 2026 / reviewers in the wild / expert
Bartek Wydrowski
dblp:365/3659
· DBLP profile ↗
2ranked-venue papers
1as first author
2since 2021 · last 2025
0009-0000-2888-802XORCID · reported
Domains — the database's venue-derived domains; a paper can count in several
Artificial intelligence and machine learning · 1 · 1 since 2021Computer networks · 1 · 1 first-author · 1 since 2021Theory of computation · 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
2 papers |
Parallel and multicore computing · 51% Cloud and datacenter computing · 33% Electronic design automation · 16% | |
| Databases, data mining, and information retrieval
1 paper |
Machine learning and data management · 100% |
Topics — the 6 heaviest of 6, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Parallel and multicore computing
load balancing |
1.6 | 2 | 2025 | Distributed Load Balancing with Workload-Dependent Service Rates · EC 2025 Load is not what you should balance: Introducing Prequal · NSDI 2024 |
Cloud and datacenter computing
cluster resource management and scheduling |
0.9 | 1 | 2025 | Distributed Load Balancing with Workload-Dependent Service Rates · EC 2025 |
Parallel and multicore computing › load balancing
distributed load balancing |
0.9 | 1 | 2025 | Distributed Load Balancing with Workload-Dependent Service Rates · EC 2025 |
Cloud and datacenter computing › cluster resource management and scheduling
cluster resource management |
0.8 | 1 | 2024 | Load is not what you should balance: Introducing Prequal · NSDI 2024 |
Electronic design automation › high-level synthesis
scheduling |
0.8 | 1 | 2024 | Load is not what you should balance: Introducing Prequal · NSDI 2024 |
Machine learning and data management
inference serving |
0.3 | 1 | 2025 | Distributed Load Balancing with Workload-Dependent Service Rates · EC 2025 |
Methods — techniques the papers use, named apart from their topics
queueing model · 1.7
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2025 | Distributed Load Balancing with Workload-Dependent Service RatesabstractIn many real-world applications such as data centers and cloud computing, the systems often consist of multiple frontends (routers) that receive job requests and backends (servers) that process these jobs. Efficient resource management is becoming increasingly important given the growing demand for serving machine learning inference queries, which incur high latencies and require expensive computational resources. Santiago R. Balseiro, Robert D. Kleinberg, Vahab S. Mirrokni, Balasubramanian Sivan, Bartek Wydrowski |
EC | 6 |
| 2024 | Load is not what you should balance: Introducing Prequal
Bartek Wydrowski, Robert D. Kleinberg, Stephen M. Rumble, Aaron Archer |
NSDI | 1 |