Add to ORKGThis paper is concerned with the efficient execution of multiple query workloads on a cluster of SMPs. We tar-get applications that access and manipulate large scien-tific datasets. Queries in these applications involve user-defined processing operations on data and distributed data structures to hold intermediate and final results. Our goal is to implement system components to leverage previously computed query results and to effectively utilize process-ing power and aggregated I/O bandwidth on SMP nodes so that both single queries and multi-query batches can be ef-ficiently executed.
International audienceMapReduce model is a new parallel programming model initially developed for la...
Data analysis applications such as Kronos, a remote sensing application, and the Virtual Microscope,...
The widespread dissemination of small-scale sensor nodes has sparked interest in a powerful new data...
This paper is concerned with the efficient execution of multiple query workloads on a cluster of SMP...
This paper is concerned with the efficient execution of multiple query workloads on a cluster of SM...
Applications that analyze, mine, and visualize large datasets is considered an important class of a...
This work investigates the leverage that can be obtained from compiler optimization techniques for e...
The multiple-query optimization (MQO) problem has been well-studied in the research literature, usu...
[[abstract]]Mermaid is a testbed system which provides integrated access to multiple databases. Two ...
Abstract—This paper proposes a strategy to organize metric-space query processing in multi-core sear...
Data analysis applications in areas as diverse as remote sensing and telepathology require operating...
Some recently proposed extensions to relational database systems as well as deductive database syste...
This work addresses the problem of sharing execution plans for queries that continuously cluster str...
In modern large-scale distributed systems, analytics jobs submitted by various users often share sim...
The diversity and large volumes of data processed in the Natural Sciences today has led to a prolife...
International audienceMapReduce model is a new parallel programming model initially developed for la...
Data analysis applications such as Kronos, a remote sensing application, and the Virtual Microscope,...
The widespread dissemination of small-scale sensor nodes has sparked interest in a powerful new data...
This paper is concerned with the efficient execution of multiple query workloads on a cluster of SMP...
This paper is concerned with the efficient execution of multiple query workloads on a cluster of SM...
Applications that analyze, mine, and visualize large datasets is considered an important class of a...
This work investigates the leverage that can be obtained from compiler optimization techniques for e...
The multiple-query optimization (MQO) problem has been well-studied in the research literature, usu...
[[abstract]]Mermaid is a testbed system which provides integrated access to multiple databases. Two ...
Abstract—This paper proposes a strategy to organize metric-space query processing in multi-core sear...
Data analysis applications in areas as diverse as remote sensing and telepathology require operating...
Some recently proposed extensions to relational database systems as well as deductive database syste...
This work addresses the problem of sharing execution plans for queries that continuously cluster str...
In modern large-scale distributed systems, analytics jobs submitted by various users often share sim...
The diversity and large volumes of data processed in the Natural Sciences today has led to a prolife...
International audienceMapReduce model is a new parallel programming model initially developed for la...
Data analysis applications such as Kronos, a remote sensing application, and the Virtual Microscope,...
The widespread dissemination of small-scale sensor nodes has sparked interest in a powerful new data...