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Charles R. Severance

dblp:54/6180 · also Charles "Chuck" Russell Severance · DBLP profile ↗
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8ranked-venue papers
5as first author
0since 2021 · last 2007
—ORCID · none

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

Systems, architecture and hardware · 7 · 4 first-authorDatabases, data management, data science and information retrieval · 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
2 papers
Distributed systems · 100%
Interdisciplinary, comprehensive, and emerging computing
2 papers
Computational science and engineering · 100%
Databases, data mining, and information retrieval
1 paper
Information retrieval · 33% Query processing and optimization · 33% Database system architecture and tuning · 33%

Topics — the 3 heaviest of 5, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Distributed systems
grid computing
0.122004
Distributed Hybrid Earthquake Engineering Experiments: Experiences with a Ground-Shaking Grid Application · HPDC 2004
Showcasing the Features and Capabilities of NEESgrid: A Grid Based System for the Earthquake Engineering Domain · HPDC 2004
Information retrieval › hashing › hash table design
distributed hashing
0.011990
Distributed Linear Hashing and Parallel Projection in Main Memory Databases · VLDB 1990
Database system architecture and tuning
main-memory database
0.011990
Distributed Linear Hashing and Parallel Projection in Main Memory Databases · VLDB 1990

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

grid application · 0.1
YearPublicationVenuePosition
2007 The Open Grid Computing Environments collaboration: portlets and services for science gateways
abstract
Abstract We review the efforts of the Open Grid Computing Environments collaboration. By adopting a general three‐tiered architecture based on common standards for portlets and Grid Web services, we can deliver numerous capabilities to science gateways from our diverse constituent efforts. In this paper, we discuss our support for standards‐based Grid portlets using the Velocity development environment. Our Grid portlets are based on abstraction layers provided by the Java CoG kit, which hide the differences of different Grid toolkits. Sophisticated services are decoupled from the portal container using Web service strategies. We describe advance information, semantic data, collaboration, and science application services developed by our consortium. Copyright © 2006 John Wiley & Sons, Ltd.
Jay Alameda, Marcus Christie, Geoffrey C. Fox, Joe Futrelle, Dennis Gannon, Mihael Hategan, Gopi Kandaswamy, Gregor von Laszewski, Mehmet A. Nacar, Marlon E. Pierce, Eric Roberts 0002, Charles R. Severance, Mary P. Thomas
Concurr. Comput. Pract. Exp.12
2007 Using the Sakai collaborative toolkit in e-Research applications
abstract
Abstract The Sakai Project ( http://www.sakaiproject.org ) is developing a collaborative environment that provides capabilities that span teaching and learning as well as e‐Research applications. By exploiting the significant requirements overlap in the collaboration space between these areas, the Sakai community can harness significant resources to develop an increasingly rich set of collaborative tools. While collaboration is a significant element of many e‐Research projects, there are many other important elements including portals, data repositories, compute resources, special software, data sources, desktop applications, and content management/e‐Publication. The successful e‐Research projects will find ways to harness all of these elements to advance their science in the most effective manner. It is critical to realize that there is not a single software product that can meet the requirements for such a rich e‐Research effort. Realizing that multiple elements must be integrated together for best effect leads us to focus on understanding the nature of integration and working together to improve the cross‐application integration. This leads us not to drive towards a single toolkit (such as Sakai or Globus), but instead to a meta‐toolkit containing well‐integrated applications. When considering a technology for use, perhaps the most important aspect of that technology is how well it integrates with other technologies. Copyright © 2007 John Wiley & Sons, Ltd.
Charles R. Severance, Joseph Hardin, Glenn Golden, Robert Crouchley, Adrian Fish, Thomas A. Finholt, Beth Kirschner, Jim Eng, Rob Allan
Concurr. Comput. Pract. Exp.1
2004 Showcasing the Features and Capabilities of NEESgrid: A Grid Based System for the Earthquake Engineering Domain
Sridhar Gullapalli, Shirley Dyke, Paul Hubbard, Doru Marcusiu, Laura Pearlman, Charles R. Severance
HPDC6
2004 Distributed Hybrid Earthquake Engineering Experiments: Experiences with a Ground-Shaking Grid Application
Laura Pearlman, Carl Kesselman, Sridhar Gullapalli, B. F. Spencer Jr., Joe Futrelle, Kathleen Ricker, Ian T. Foster, Paul Hubbard, Charles R. Severance
HPDC9
1996 Managing the Overall Balance of Operating System Threads on a Multiprocessor Using Automatic Self-Allocating Threads (ASAT)
Charles R. Severance, Richard J. Enbody, Paul Petersen
J. Parallel Distributed Comput.1
1995 Automatic Self-Allocating Threads (ASAT) on the Convex Exemplar
Charles R. Severance, Richard J. Enbody, Steven J. Wallach, Brad Funkhouser
ICPP (1)1
1990 Distributed Linear Hashing for Main Memory Databases
Charles R. Severance, Sakti Pramanik
ICPP (1)1
1990 Distributed Linear Hashing and Parallel Projection in Main Memory Databases
Charles R. Severance, Sakti Pramanik, P. Wolberg
VLDB1