EDBT 2026 Demo / reviewers in the wild / expert
Wayne Karpoff
dblp:23/6536
· 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 · 50% Memory systems · 25% Distributed systems · 25% |
Topics — the 4 heaviest of 4, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Distributed systems
data consistency |
0.1 | 1 | 2006 | Storage solutions II - Global data sharing: addressing the challenge of data locality · SC 2006 |
Memory systems
data locality |
0.1 | 1 | 2006 | Storage solutions II - Global data sharing: addressing the challenge of data locality · SC 2006 |
Storage systems › file systems
distributed file system |
0.1 | 1 | 2006 | Storage solutions II - Global data sharing: addressing the challenge of data locality · SC 2006 |
Storage systems › distributed storage
geo-distributed storage |
0.1 | 1 | 2006 | Storage solutions II - Global data sharing: addressing the challenge of data locality · SC 2006 |
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2006 | Storage solutions II - Global data sharing: addressing the challenge of data localityabstractYottaYotta provides a summary of its Global Data Sharing project at the Data Intensive Computing Environment (DICE). DICE provides a multi-agency environment aimed at reducing the time-to-solution for complex data intensive problems in a diverse geographical setting over real-world wide area networks.One of the serious barriers to data sharing is the challenge of data locality. In order to ensure optimal utilization of globally distributed IT resources, data must be both local and global at the same time. Users must ensure that their data is local so that processing at any given site can progress without the delays of remote I/O or file transfer. However, at the same time, the data must be global so that it remains consistent, while offering coherency of data access between sites. YottaYotta presents a new architecture that leverages clustered file systems and enables site agnostic resource scheduling across wide area heterogeneous storage environments. Wayne Karpoff |
SC | 1 |