An emerging challenge in modern distributed querying is to efficiently process multiple continuous aggregation queries simultaneously. Processing each query independently may be i...
Ryan Huebsch, Minos N. Garofalakis, Joseph M. Hell...
The energy efficiency of computer systems is an important concern in a variety of contexts. In data centers, reducing energy use improves operating cost, scalability, reliability,...
Suzanne Rivoire, Mehul A. Shah, Parthasarathy Rang...
Dataspaces are collections of heterogeneous and partially unstructured data. Unlike data-integration systems that also offer uniform access to heterogeneous data sources, dataspac...
A variety of techniques currently exist for measuring the similarity between time series datasets. Of these techniques, the methods whose matching criteria is bounded by a specifi...
Partial evaluation has recently proven an effective technique for evaluating Boolean XPath queries over a fragmented tree that is distributed over a number of sites. What left ope...
The real usability of data stream systems depends on the practical aspect of building applications on data streams. In this demo we show two possible applications on data streams,...
Michael Duller, Rokas Tamosevicius, Gustavo Alonso...
A "sparse" data set typically has hundreds or even thousands of attributes, but most objects have non-null values for only a small number of these attributes. A popular ...
Eric Chu, Jennifer L. Beckmann, Jeffrey F. Naughto...
We propose to demonstrate EaseDB, the first cache-oblivious query processor for in-memory relational query processing. The cacheoblivious notion from the theory community refers t...
The previous literature of privacy preserving data publication has focused on performing "one-time" releases. Specifically, none of the existing solutions supports re-pu...