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Lance Stout

dblp:16/7553 · DBLP profile ↗
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2ranked-venue papers
2as first author
0since 2021 · last 2013
—ORCID · none

Domains — the database's venue-derived domains; a paper can count in several

Systems, architecture and hardware · 2 · 2 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
Cloud and datacenter computing · 56% Distributed systems · 36% High-performance computing · 8%

Topics — the 5 heaviest of 5, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Cloud and datacenter computing
cluster resource management and scheduling		 0.112010
Scaling virtual organization clusters over a wide area network using the Kestrel workload management system · HPDC 2010
Distributed systems
grid computing		 0.112010
Scaling virtual organization clusters over a wide area network using the Kestrel workload management system · HPDC 2010
Cloud and datacenter computing › resource management
workload management		 0.112010
Scaling virtual organization clusters over a wide area network using the Kestrel workload management system · HPDC 2010
Distributed systems › grid computing
bag-of-tasks		 0.012010
Scaling virtual organization clusters over a wide area network using the Kestrel workload management system · HPDC 2010
High-performance computing › high-throughput computing
many-task computing		 0.012010
Scaling virtual organization clusters over a wide area network using the Kestrel workload management system · HPDC 2010
YearPublicationVenuePosition
2013 Using Kestrel and XMPP to Support the STAR Experiment in the Cloud
Lance Stout, Matthew Walker, Jérôme Lauret, Sebastien Goasguen, Michael A. Murphy
 J. Grid Comput.1
2010 Scaling virtual organization clusters over a wide area network using the Kestrel workload management system
abstract
This paper presents the results of using the Kestrel workload management system to test operating a Virtual Organization Cluster (VOC) across multiple sites. A Many-Task Computing (MTC) framework based on the Extensible Messaging and Presence Protocol (XMPP), Kestrel presents a special purpose scheduler that can offer better VOC scalability under certain workload assumptions, namely CPU bound processes and bag-of-tasks jobs.
Lance Stout, Michael Fenn, Michael A. Murphy, Sebastien Goasguen
 HPDC1