Scientific data are posing new challenges to data management due to the large volume, complexity and heterogeneity of the data. Meanwhile, scientific collaboration becomes increas...
Fusheng Wang, Pierre-Emmanuel Bourgue, Georg Hacke...
Low-latency and high-throughput processing are key requirements of data stream management systems (DSMSs). Hence, multi-core processors that provide high aggregate processing capa...
Large highly distributed data sets are poorly supported by current query technologies. Applications such as endsystembased network management are characterized by data stored on l...
Dushyanth Narayanan, Austin Donnelly, Richard Mort...
This paper presents HomeViews, a peer-to-peer middleware system for building personal data management applications. HomeViews provides abstractions and services for data organizat...
Roxana Geambasu, Magdalena Balazinska, Steven D. G...
Modern scientific applications consume massive volumes of data produced by computer simulations. Such applications require new data management capabilities in order to scale to te...