We consider the problem of resource sharing when processing large numbers of continuous queries. We specifically address sliding-window aggregates over data streams, an important...
— In this paper1 we address the problem of processing continuous multi-join queries, over distributed data streams. Our approach makes use of existing work in the field of publi...
Oana Jurca, Sebastian Michel, Alexandre Herrmann, ...
MapReduce is a popular framework for data-intensive distributed computing of batch jobs. To simplify fault tolerance, the output of each MapReduce task and job is materialized to ...
Tyson Condie, Neil Conway, Peter Alvaro, Joseph M....
Current developments in processing data streams are based on the best-effort principle and therefore not adequate for many application areas. When sensor data is gathered by inte...
In this paper, we propose an online aggregation system called COSMOS (Continuous Sampling for Multiple queries in an Online aggregation System), to process multiple aggregate quer...