2017 - ACM Fellow For contributions to high-performance computing, distributed systems, and scientific data management
Carl Kesselman mostly deals with Distributed computing, Grid computing, World Wide Web, Grid Security Infrastructure and Service. His study on Metacomputing is often connected to Replica as part of broader study in Distributed computing. His Grid computing research incorporates themes from The Internet, Semantic grid and Data science.
His Data science research integrates issues from Storage Resource Broker and Interoperability. The various areas that Carl Kesselman examines in his Open Grid Services Architecture study include Web service, Instrumentation and Commodity computing. The study incorporates disciplines such as Grid application and Utility computing in addition to DRMAA.
Carl Kesselman mainly focuses on Distributed computing, Grid computing, Data science, World Wide Web and Workflow. The Distributed computing study which covers Data grid that intersects with GridFTP. His Grid computing study deals with Semantic grid intersecting with Shared resource.
His work carried out in the field of Data science brings together such families of science as Terabyte, Data management, Interoperability and Big data. His work in World Wide Web addresses issues such as Service, which are connected to fields such as Context. His biological study spans a wide range of topics, including Executable and Computer graphics.
The scientist’s investigation covers issues in Data science, Big data, Metadata, Data management and World Wide Web. Carl Kesselman combines subjects such as Grid computing, Data-driven and Translational medicine with his study of Data science. His study in Big data is interdisciplinary in nature, drawing from both Resource, Software, Analytics and Interoperability.
His studies in Metadata integrate themes in fields like Cell culture, Service, Relational database, Relational database management system and Workflow. He has researched Service in several fields, including Entity–relationship model and Metadata management. His World Wide Web research is multidisciplinary, relying on both Context and Data warehouse.
His main research concerns Data science, Big data, Metadata, Cell culture and Cell biology. Carl Kesselman interconnects Disparate system, Resource and Workflow in the investigation of issues within Data science. His Resource study which covers Faceted search that intersects with Bioinformatics.
While the research belongs to areas of Big data, he spends his time largely on the problem of Data management, intersecting his research to questions surrounding Terabyte, Usability, Interoperability, Cloud computing and Machine learning. The subject of his Metadata research is within the realm of World Wide Web. His Cell culture research incorporates elements of Kidney and Neuroscience.
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The Grid 2: Blueprint for a New Computing Infrastructure
Ian Foster;Carl Kesselman.
The Anatomy of the Grid: Enabling Scalable Virtual Organizations
Ian Foster;Carl Kesselman;Steven Tuecke.
ieee international conference on high performance computing data and analytics (2001)
The Physiology of the Grid
Ian Foster;Ian Foster;Carl Kesselman;Jeffrey M. Nick;Steven Tuecke.
Globus: a Metacomputing Infrastructure Toolkit
Ian Foster;Carl Kesselman.
ieee international conference on high performance computing data and analytics (1997)
The Physiology of the Grid An Open Grid Services Architecture for Distributed Systems Integration
Ian Foster;Carl Kesselman;Jeffrey M. Nick;Steven Tuecke.
Grid information services for distributed resource sharing
K. Czajkowski;S. Fitzgerald;I. Foster;C. Kesselman.
high performance distributed computing (2001)
Grid services for distributed system integration
I. Foster;C. Kesselman;J.M. Nick;S. Tuecke.
IEEE Computer (2002)
A security architecture for computational grids
Ian Foster;Carl Kesselman;Gene Tsudik;Steven Tuecke.
computer and communications security (1998)
The data grid: Towards an architecture for the distributed management and analysis of large scientific datasets
Ann Chervenak;Ian Foster;Carl Kesselman;Charles Salisbury.
Journal of Network and Computer Applications (2000)
Pegasus: A framework for mapping complex scientific workflows onto distributed systems
Ewa Deelman;Gurmeet Singh;Mei-Hui Su;James Blythe.
Scientific Programming (2005)
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