28 search results - page 2 / 6 » Improving MapReduce performance through data placement in he... |
ICPADS
2010
IEEE
13 years 3 months ago
2010
IEEE
The MapReduce programming model simplifies large-scale data processing on commodity clusters by having users specify a map function that processes input key/value pairs to generate...
PVLDB
2010
13 years 3 months ago
2010
MapReduce is a computing paradigm that has gained a lot of attention in recent years from industry and research. Unlike parallel DBMSs, MapReduce allows non-expert users to run co...
CLUSTER
2009
IEEE
13 years 3 months ago
2009
IEEE
With the advent of high-performance COTS clusters, there is a need for a simple, scalable and faulttolerant parallel programming and execution paradigm. In this paper, we show that...
SIGCSE
2008
ACM
13 years 5 months ago
2008
ACM
In this paper we present the design of a modern course in cluster computing and large-scale data processing. The defining differences between this and previously published designs...
CLUSTER
2009
IEEE
14 years 6 hour ago
2009
IEEE
Abstract— As the datasets used to fuel modern scientific discovery grow increasingly large, they become increasingly difficult to manage using conventional software. Parallel d...