Demo Data from VLDB 2026 / reviewers in the wild / expert
Matt Davy
dblp:08/4590
· DBLP profile ↗
2ranked-venue papers
0as first author
0since 2021 · last 2012
—ORCID · none
Domains — the database's venue-derived domains; a paper can count in several
Systems, architecture and hardware · 2
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 |
Storage systems · 45% High-performance computing · 30% Distributed systems · 24% | |
| Computer networks
1 paper |
Network measurement and analytics · 100% |
Topics — the 7 heaviest of 9, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Storage systems › file systems › distributed file system
parallel file system |
0.1 | 1 | 2012 | Demonstrating lustre over a 100Gbps wide area network of 3, 500km · SC 2012 |
High-performance computing
supercomputing |
0.1 | 1 | 2012 | Demonstrating lustre over a 100Gbps wide area network of 3, 500km · SC 2012 |
Distributed systems › distributed system architecture › communication architecture
wide-area network |
0.1 | 1 | 2012 | Demonstrating lustre over a 100Gbps wide area network of 3, 500km · SC 2012 |
Storage systems
distributed storage |
0.1 | 1 | 2006 | Bandwidth challenge - All in a day's work: advancing data-intensive research with the data capacitor · SC 2006 |
Storage systems › file systems › distributed file system
wide-area file system |
0.1 | 1 | 2006 | Bandwidth challenge - All in a day's work: advancing data-intensive research with the data capacitor · SC 2006 |
High-performance computing
data-intensive computing |
0.0 | 1 | 2006 | Bandwidth challenge - All in a day's work: advancing data-intensive research with the data capacitor · SC 2006 |
High-performance computing
scientific data management |
0.0 | 1 | 2006 | Bandwidth challenge - All in a day's work: advancing data-intensive research with the data capacitor · SC 2006 |
Methods — techniques the papers use, named apart from their topics
iperf · 0.3benchmarking · 0.3wide-area networking · 0.1lustre · 0.1
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2012 | Demonstrating lustre over a 100Gbps wide area network of 3, 500kmabstractAs part of the SCinet Research Sandbox at the Supercomputing 2011 conference, Indiana University (IU) demonstrated use of the Lustre high performance parallel file system over a dedicated 100 Gbps wide area network (WAN) spanning more than 3,500 km (2,175 mi). This demonstration functioned as a proof of concept and provided an opportunity to study Lustre's performance over a 100 Gbps WAN. To characterize the performance of the network and file system, low level iperf network tests, file system tests with the IOR benchmark, and a suite of real-world applications reading and writing to the file system were run over a latency of 50.5 ms. In this article we describe the configuration and constraints of the demonstration and outline key findings. Robert Henschel, Stephen C. Simms, David Y. Hancock, Scott Michael, Tom Johnson, Nathan Heald, Thomas William, Donald K. Berry, Matthew Allen, Richard Knepper, Matt Davy, Matthew R. Link, Craig A. Stewart |
SC | 11 |
| 2006 | Bandwidth challenge - All in a day's work: advancing data-intensive research with the data capacitorabstractIndiana University provides powerful compute, storage, and network resources to a diverse local and national research community every day. IU's facilities have been used to support data-intensive applications ranging from digital humanities to computational biology.For this year's bandwidth challenge, several IU researchers will conduct experiments from the exhibit floor utilizing the resources that University Information Technology Services currently provides.Using IU's newly constructed 535 TB Data Capacitor and an additional component installed on the exhibit floor, we will use Lustre across the wide area network to simultaneously facilitate dynamic weather modeling, protein analysis, instrument data capture, and the production, storage, and analysis of simulation data. Stephen C. Simms, Matt Davy, Bret Hammond, Matthew R. Link, Craig A. Stewart, Randall Bramley, Beth Plale, Dennis Gannon, Mu-Hyun Baik, Scott Teige, John C. Huffman, Rick McMullen, Doug Balog, Gregory G. Pike |
SC | 2 |