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» Sampling with incremental mapreduce
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BTW
2015
Springer
12views Database» more  BTW 2015»
3 years 11 months ago
Sampling with incremental mapreduce
: The goal of this paper is to increase the computation speed of MapReduce jobs by reducing the accuracy of the result. Often, the timely processing is more important than the prec...
Marc Schäfer, Johannes Schildgen, Stefan De&s...
ICPADS
2010
IEEE
9 years 1 months ago
Enhancing MapReduce via Asynchronous Data Processing
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...
Marwa Elteir, Heshan Lin, Wu-chun Feng
ASPLOS
2015
ACM
3 years 11 months ago
ApproxHadoop: Bringing Approximations to MapReduce Frameworks
We propose and evaluate a framework for creating and running approximation-enabled MapReduce programs. Specifically, we propose approximation mechanisms that fit naturally into t...
Iñigo Goiri, Ricardo Bianchini, Santosh Nag...
SIGMOD
2011
ACM
210views Database» more  SIGMOD 2011»
8 years 6 months ago
A platform for scalable one-pass analytics using MapReduce
Today’s one-pass analytics applications tend to be data-intensive in nature and require the ability to process high volumes of data efficiently. MapReduce is a popular programm...
Boduo Li, Edward Mazur, Yanlei Diao, Andrew McGreg...
PVLDB
2008
216views more  PVLDB 2008»
9 years 2 months ago
Ad-hoc data processing in the cloud
Ad-hoc data processing has proven to be a critical paradigm for Internet companies processing large volumes of unstructured data. However, the emergence of cloud-based computing, ...
Dionysios Logothetis, Ken Yocum
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