LH*RSP2P : A Scalable Distributed Data Structure for P2P...
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Google Tech Talks June 19, 2007 ABSTRACT LH*RSP2P is a Scalable Distributed Data Structure (SDDS) designed for P2P applications. It manipulate data on SDDS peer nodes, i.e., where each node is both an SDDS client and, actually or potentially, an SDDS server. The latter stores application or parity data, or both. The scheme reuses the addressin... Read more
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- -: LH*RSP2P : A Scalable Distributed Data Structure for P2P...
October 9, 2007 (over 16 years ago)Google Tech Talks June 19, 2007 ABSTRACT LH*RSP2P is a Scalable Distributed Data Structure (SDDS) designed for P2P applications. It manipulate data on SDDS peer nodes, i.e., where each node is both an SDDS client and, actually or potentially, an SDDS server. The latter stores application or par...
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- -: Customizable Scalable Compute Intensive Stream Queries
October 9, 2007 (over 16 years ago)Google TechTalks July 11, 2006 Tore Risch ABSTRACT GSDM is a data stream management system running on cluster computers. The system is extensible through user-defined data representations and computations. The computations are specified as stream queries continuously computed over windows of da...
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- -: Scalable Learning and Inference in Hierarchical Models of...
October 9, 2007 (over 16 years ago)Google TechTalks January 17, 2006 Tom Dean ABSTRACT Borrowing insights from computational neuroscience, we present a class of generative models well suited to modeling perceptual processes and an algorithm for learning their parameters that promises to scale to learning very large models. The m...
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