Demo Data from EDBT 2026 / reviewers in the wild / expert
Brian Gluzman
dblp:130/1372
· 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
Systems, architecture and hardware · 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.
| Software engineering, system software, and programming languages
1 paper |
Operating systems · 100% | |
| Computer architecture, parallel and distributed computing, and storage systems
1 paper |
Processor architecture and microarchitecture · 100% |
Topics — the 3 heaviest of 3, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Operating systems › resource management
resource containers |
0.2 | 1 | 2013 | Tessellation: refactoring the OS around explicit resource containers with continuous adaptation · DAC 2013 |
Operating systems
resource management |
0.2 | 1 | 2013 | Tessellation: refactoring the OS around explicit resource containers with continuous adaptation · DAC 2013 |
Processor architecture and microarchitecture
many-core architecture |
0.0 | 1 | 2013 | Tessellation: refactoring the OS around explicit resource containers with continuous adaptation · DAC 2013 |
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2013 | Tessellation: refactoring the OS around explicit resource containers with continuous adaptationabstractAdaptive Resource-Centric Computing (ARCC) enables a simultaneous mix of high-throughput parallel, real-time, and interactive applications through automatic discovery of the correct mix of resource assignments necessary to achieve application requirements. This approach, embodied in the Tessellation manycore operating system, distributes resources to QoS domains called cells. Tessellation separates global decisions about the allocation of resources to cells from application-specific scheduling of resources within cells. We examine the implementation of ARCC in the Tessellation OS, highlight Tessellation's ability to provide predictable performance, and investigate the performance of Tessellation services within cells. Juan A. Colmenares, Gage Eads, Steven Hofmeyr, Sarah Bird, Miquel Moretó, Brian Gluzman, Eric Roman, Davide B. Bartolini, Nitesh Mor, Krste Asanovic, John Kubiatowicz |
DAC | 7 |