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Wayne Karpoff

dblp:23/6536 · DBLP profile ↗
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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

TopicWeightPapersLastEvidence papers
Distributed systems
data consistency
0.112006
Storage solutions II - Global data sharing: addressing the challenge of data locality · SC 2006
Memory systems
data locality
0.112006
Storage solutions II - Global data sharing: addressing the challenge of data locality · SC 2006
Storage systems › file systems
distributed file system
0.112006
Storage solutions II - Global data sharing: addressing the challenge of data locality · SC 2006
Storage systems › distributed storage
geo-distributed storage
0.112006
Storage solutions II - Global data sharing: addressing the challenge of data locality · SC 2006
YearPublicationVenuePosition
2006 Storage solutions II - Global data sharing: addressing the challenge of data locality
abstract
YottaYotta 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
SC1