A
Ann L. Chervenak
Researcher at University of Southern California
Publications - 79
Citations - 6922
Ann L. Chervenak is an academic researcher from University of Southern California. The author has contributed to research in topics: Data grid & Earth System Grid. The author has an hindex of 31, co-authored 79 publications receiving 6644 citations. Previous affiliations of Ann L. Chervenak include University of California, Berkeley & Georgia Institute of Technology.
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Journal ArticleDOI
The data grid
TL;DR: In this paper, the authors introduce design principles for a data management architecture called the data grid, and describe two basic services that are fundamental to the design of a data grid: storage systems and metadata management.
Journal ArticleDOI
Characterizing and profiling scientific workflows
TL;DR: A characterization of workflows from six diverse scientific applications, including astronomy, bioinformatics, earthquake science, and gravitational-wave physics is provided, based on novel workflow profiling tools that provide detailed information about the various computational tasks that are present in the workflow.
Journal ArticleDOI
Data management and transfer in high-performance computational grid environments
Bill Allcock,Joe Bester,John Bresnahan,Ann L. Chervenak,Ian Foster,Carl Kesselman,Sam Meder,Veronika Nefedova,Darcy Quesnel,Steven Tuecke +9 more
TL;DR: A high-speed transport service that extends the popular FTP protocol with new features required for Data Grid applications, such as striping and partial file access and a replica management service that integrates a replica catalog with GridFTP transfers to provide for the creation, registration, location, and management of dataset replicas.
Proceedings ArticleDOI
Characterization of scientific workflows
TL;DR: This work provides a characterization of workflows from five diverse scientific applications, describing their composition and data and computational requirements, and describes a workflow generator that produces synthetic, parameterizable workflows that closely resemble these workflows.
Proceedings ArticleDOI
Giggle: A Framework for Constructing Scalable Replica Location Services
Ann L. Chervenak,Ewa Deelman,Ian Foster,Leanne P. Guy,Wolfgang Hoschek,Adriana Iamnitchi,Carl Kesselman,Peter Z. Kunszt,Matei Ripeanu,Bob Schwartzkopf,Heinz Stockinger,Kurt Stockinger,Brian Tierney +12 more
TL;DR: A parameterized architectural framework is described, which is name Giggle (for GIGa-scale Global Location Engine), within which a wide range of RLSs can be defined, and initial performance results for an RLS prototype are presented, demonstrating that RLS systems can be constructed that meet performance goals.