JPL Technical Report Server

Distributed computing framework for synthetic radar application

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dc.contributor.author Gurrola, Eric M.
dc.contributor.author Rosen, Paul A.
dc.contributor.author Aivazis, Michael
dc.date.accessioned 2007-04-03T21:31:02Z
dc.date.available 2007-04-03T21:31:02Z
dc.date.issued 2006-04-24
dc.identifier.citation IEEE Radar Conference, Verona, New York, April 24-27, 2006. en
dc.identifier.clearanceno 06-0412
dc.identifier.uri http://hdl.handle.net/2014/40180
dc.description.abstract We are developing an extensible software framework, in response to Air Force and NASA needs for distributed computing facilities for a variety of radar applications. The objective ofthis work is to develop a Python based software framework, that is the framework elements of the middleware that allows developers to control processing flow on a grid in a distributed computing environment. Framework architectures to date allow developers to connect processing functions together as interchangeable objects, thereby allowing a data flow graph to be devised for a specific problem to be solved. The Pyre framework, developed at the California Institute of Technology (Caltech), and now being used as the basis for next-generation radar processing at JPL, is a Python-based software framework. We have extended the Pyre framework to include new facilities to deploy processing components as services, including components that monitor and assess the state of the distributed network for eventual real-time control of grid resources. en
dc.description.sponsorship NASA/JPL en
dc.format.extent 1222269 bytes
dc.format.mimetype application/pdf
dc.language.iso en_US en
dc.publisher Pasadena, CA : Jet Propulsion Laboratory, National Aeronautics and Space Administration, 2006. en
dc.subject distributed computing en
dc.subject synthetic aperture radar (SAR) en
dc.title Distributed computing framework for synthetic radar application en
dc.type Preprint en


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