C
Carl Kesselman
Researcher at University of Southern California
Publications - 263
Citations - 56074
Carl Kesselman is an academic researcher from University of Southern California. The author has contributed to research in topics: Grid & Grid computing. The author has an hindex of 82, co-authored 257 publications receiving 55377 citations. Previous affiliations of Carl Kesselman include Southern California Earthquake Center & University of California, San Diego.
Papers
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Journal ArticleDOI
Grid services for distributed system integration
TL;DR: In this paper, the authors focus on the nature of the services that respond to protocol messages and propose a set of services that can be aggregated in various ways to meet the needs of virtual organizations, which themselves can be defined by the services they operate and share.
Proceedings ArticleDOI
Grid information services for distributed resource sharing
TL;DR: This work presents an information services architecture that addresses performance, security, scalability, and robustness requirements of Grid software infrastructure and has been implemented as MDS-2, which forms part of the Globus Grid toolkit and has be widely deployed and applied.
Proceedings ArticleDOI
A security architecture for computational grids
TL;DR: The unique security requirements of large-scale distributed (grid) computing are analyzed and a security policy and a corresponding security architecture are developed and an implementation of the architecture within the Globus metacomputing toolkit is discussed.
Journal ArticleDOI
Pegasus: A framework for mapping complex scientific workflows onto distributed systems
Ewa Deelman,Gurmeet Singh,Mei-Hui Su,Jim Blythe,Yolanda Gil,Carl Kesselman,Gaurang Mehta,Karan Vahi,G. Bruce Berriman,John C. Good,Anastasia C. Laity,Joseph C. Jacob,Daniel S. Katz +12 more
TL;DR: The results of improving application performance through workflow restructuring which clusters multiple tasks in a workflow into single entities are presented.
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.