Add to ORKGAlgorithms for MapReduce and Beyond (BeyondMR)......................... 1 Scheduling MapReduce Jobs on Unrelated Processors....................... 2 Binary Theta-Joins using MapReduce: Efficiency Analysis and Improvements.........
Data abundance poses the need for powerful and easy-to-use tools that support processing large amoun...
MapReduce is a popular parallel computing paradigm for large-scale data processing in clusters and d...
MapReduce is a programming model from Google for cluster-based computing in domains such as search e...
Multi-way Theta-join queries are powerful in describing com-plex relations and therefore widely empl...
Multi-way Theta-join queries are powerful in describing complex relations and therefore widely emplo...
MapReduce framework has become the state-of-the-art paradigm for large-scale data processing. In our...
Since its introduction in 2004, the MapReduce framework has be-come one of the standard approaches i...
In an attempt to increase the performance/cost ratio, large compute clusters are becoming heterogene...
Over the last ten years MapReduce has emerged as one of the staples of distributed computing both in...
AbstractThe MapReduce framework has been generating a lot of interest in a wide range of areas. It h...
MapReduce is a programming model and an associated implementation for processing and generating larg...
International audienceData abundance poses the need for powerful and easy-to-use tools that support ...
For over a decade, MapReduce has become the leading programming model for parallel and massive proce...
ABSTRACT: In the current technological world, there is generation of enormous data each and every da...
Abstract. The MapReduce framework has been generating a lot of interest in a wide range of areas. It...
Data abundance poses the need for powerful and easy-to-use tools that support processing large amoun...
MapReduce is a popular parallel computing paradigm for large-scale data processing in clusters and d...
MapReduce is a programming model from Google for cluster-based computing in domains such as search e...
Multi-way Theta-join queries are powerful in describing com-plex relations and therefore widely empl...
Multi-way Theta-join queries are powerful in describing complex relations and therefore widely emplo...
MapReduce framework has become the state-of-the-art paradigm for large-scale data processing. In our...
Since its introduction in 2004, the MapReduce framework has be-come one of the standard approaches i...
In an attempt to increase the performance/cost ratio, large compute clusters are becoming heterogene...
Over the last ten years MapReduce has emerged as one of the staples of distributed computing both in...
AbstractThe MapReduce framework has been generating a lot of interest in a wide range of areas. It h...
MapReduce is a programming model and an associated implementation for processing and generating larg...
International audienceData abundance poses the need for powerful and easy-to-use tools that support ...
For over a decade, MapReduce has become the leading programming model for parallel and massive proce...
ABSTRACT: In the current technological world, there is generation of enormous data each and every da...
Abstract. The MapReduce framework has been generating a lot of interest in a wide range of areas. It...
Data abundance poses the need for powerful and easy-to-use tools that support processing large amoun...
MapReduce is a popular parallel computing paradigm for large-scale data processing in clusters and d...
MapReduce is a programming model from Google for cluster-based computing in domains such as search e...