Data Stream Management Systems are useful when large volumes of data need to be processed in real time. Examples include monitoring network traffic, monitoring financial transacti...
Theodore Johnson, S. Muthukrishnan, Vladislav Shka...
With the increasing popularity of location-based services, such as tour guide and location-based social network, we now have accumulated many location data on the Web. In this pap...
Vincent Wenchen Zheng, Yu Zheng, Xing Xie, Qiang Y...
The need for reliability in Grid Systems is a difficult challenge which is very important in the context of highly dynamic systems composed of thousands of nodes. Failure manageme...
Catalin Leordeanu, Valentin Cristea, Thomas Ropars...
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...
Abstract. Decision-makers in critical fields such as medicine and finance make use of a wide range of information available over the Internet. Mediation, a data integration techn...