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dc.contributor.authorBudiu, Mihai
dc.contributor.authorIsaacs, Rebecca
dc.contributor.authorMurray, Derek
dc.contributor.authorPlotkin, Gordon
dc.contributor.authorBarham, Paul
dc.contributor.authorAl-Kiswany, Samer
dc.contributor.authorBoshmaf, Yazan
dc.contributor.authorLuo, Qingzhou
dc.contributor.authorAndoni, Alexandr
dc.date.accessioned2015-02-03T18:18:49Z
dc.date.available2015-02-03T18:18:49Z
dc.date.issued2015-01-29
dc.identifier.citationTR1817en
dc.identifier.urihttp://digital.library.wisc.edu/1793/70467
dc.description.abstractWe present Sketch, a distributed software infrastructure for building interactive tools for exploring large datasets, distributed across multiple machines. We have built three sophisticated applications using this framework: a billion-row spreadsheet, a distributed log browser, and a distributed- systems performance debugging tool. Sketch applications allow interactive and responsive exploration of complex distributed datasets, scaling gracefully to large system sizes. The conflicting constraints of large-scale data and small timescales required by human interaction are difficult to satisfy simultaneously. Sketch exploits a sweet spot in this trade-off by exploiting the observation that the precision of a data view is limited by the resolution of the user?s screen. The system pushes data reduction operations to the data sources. The core Sketch abstraction provides a narrow programming interface; Sketch clients construct a distributed application by stacking modular components with identical interfaces, each providing a useful feature: network transparency, concurrency, fault-tolerance, straggler avoidance, round-trip reduction, distributed aggregation.en
dc.subjectdistributed systemsen
dc.subjectsketchingen
dc.subjectinteractive visualizationen
dc.subjectbig data visualizationen
dc.titleInteracting with Large Distributed Datasets Using Sketchen
dc.typeTechnical Reporten


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    Technical Reports Archive for the Department of Computer Sciences at the University of Wisconsin-Madison

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