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Robert Schwartzkopf

dblp:58/2464 · DBLP profile ↗
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2ranked-venue papers
0as first author
0since 2021 · last 2004
—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
Distributed systems · 87% Cloud and datacenter computing · 13%

Topics — the 7 heaviest of 7, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Distributed systems › replication
replica location service
0.122004
Performance and Scalability of a Replica Location Service · HPDC 2004
Giggle: a framework for constructing scalable replica location services · SC 2002
Distributed systems
replication
0.122004
Performance and Scalability of a Replica Location Service · HPDC 2004
Giggle: a framework for constructing scalable replica location services · SC 2002
Cloud and datacenter computing
cluster resource management and scheduling
0.012002
Giggle: a framework for constructing scalable replica location services · SC 2002
Distributed systems › grid computing
data grid
0.012002
Giggle: a framework for constructing scalable replica location services · SC 2002
Distributed systems
distributed coordination and fault tolerance
0.012002
Giggle: a framework for constructing scalable replica location services · SC 2002
Distributed systems
fault tolerance
0.012004
Performance and Scalability of a Replica Location Service · HPDC 2004
Distributed systems › replication
data replication
0.012002
Giggle: a framework for constructing scalable replica location services · SC 2002

Methods — techniques the papers use, named apart from their topics

performance evaluation · 0.0parameterized architectural framework · 0.0
YearPublicationVenuePosition
2004 Performance and Scalability of a Replica Location Service
Ann L. Chervenak, Naveen Palavalli, Shishir Bharathi, Carl Kesselman, Robert Schwartzkopf
HPDC5
2002 Giggle: a framework for constructing scalable replica location services
abstract
In wide area computing systems, it is often desirable to create remote read-only copies (replicas) of files. Replication can be used to reduce access latency, improve data locality, and/or increase robustness, scalability and performance for distributed applications. We define a replica location service (RLS) as a system that maintains and provides access to information about the physical locations of copies. An RLS typically functions as one component of a data grid architecture. This paper makes the following contributions. First, we characterize RLS requirements. Next, we describe a parameterized architectural framework, which we name Giggle (for GIGa-scale Global Location Engine), within which a wide range of RLSs can be defined. We define several concrete instantiations of this framework with different performance characteristics. Finally, we present initial performance results for an RLS prototype, demonstrating that RLS systems can be constructed that meet performance goals.
Ann L. Chervenak, Ewa Deelman, Ian T. Foster, Leanne Guy, Wolfgang Hoschek, Adriana Iamnitchi, Carl Kesselman, Peter Z. Kunszt, Matei Ripeanu, Robert Schwartzkopf, Heinz Stockinger, Kurt Stockinger, Brian Tierney
SC10