Demo Data from EDBT 2026 / reviewers in the wild / expert
Nobuhiko Katayama
dblp:10/727
· DBLP profile ↗
1ranked-venue papers
1as first author
0since 2021 · last 2006
—ORCID · none
Domains — the database's venue-derived domains; a paper can count in several
Systems, architecture and hardware · 1 · 1 first-author
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 |
Storage systems · 67% High-performance computing · 33% |
Topics — the 3 heaviest of 3, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
High-performance computing
data-intensive computing |
0.1 | 1 | 2006 | Storage challenge - High performance data analysis for particle physics using the Gfarm file system · SC 2006 |
Storage systems › file systems
distributed file system |
0.1 | 1 | 2006 | Storage challenge - High performance data analysis for particle physics using the Gfarm file system · SC 2006 |
Storage systems › i/o optimization
scalable i/o |
0.1 | 1 | 2006 | Storage challenge - High performance data analysis for particle physics using the Gfarm file system · SC 2006 |
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2006 | Storage challenge - High performance data analysis for particle physics using the Gfarm file systemabstractThe Belle experiment operates at the KEKB accelerator, a high luminosity asymmetric energy e+ e- collider. The Belle collaboration studies CP violations in decays of B mesons to answer one of the fundamental questions of Nature, the matter-anti-matter asymmetry. Currently, Belle accumulates more than one million B Bbar meson pairs, corresponding to about 1.2 TB of raw data, per day.The challenge is how to realize the required high performance data access and scalable data computing. The Gfarm file system is a Grid-wide network shared file system that federates local storage of cluster nodes; moreover it provides scalable I/O performance with distributed data access. In the challenge, we will construct a Gfarm file system with 40 TB capacity and 30 GB/sec I/O bandwidth, integrating the local disks of 800 compute nodes in the KEKB computing facility, and demonstrate high-performance Belle data analysis. Nobuhiko Katayama, Mitsuhisa Sato, Taisuke Boku, Akira Ukawa, Shohei Nishida, Ichiro Adachi, Osamu Tatebe |
SC | 1 |