Sciweavers

29152 search results - page 14 / 5831
» A Model of Computation for MapReduce
Sort
View
87
Voted
ICDE
2011
IEEE
265views Database» more  ICDE 2011»
14 years 1 months ago
RAFTing MapReduce: Fast recovery on the RAFT
MapReduce is a computing paradigm that has gained a lot of popularity as it allows non-expert users to easily run complex analytical tasks at very large-scale. At such scale, task...
Jorge-Arnulfo Quiané-Ruiz, Christoph Pinkel...
EDBT
2010
ACM
188views Database» more  EDBT 2010»
15 years 24 days ago
DEDUCE: at the intersection of MapReduce and stream processing
MapReduce and stream processing are two emerging, but different, paradigms for analyzing, processing and making sense of large volumes of modern day data. While MapReduce offers t...
Vibhore Kumar, Henrique Andrade, Bugra Gedik, Kun-...
PVLDB
2010
167views more  PVLDB 2010»
14 years 7 months ago
The Performance of MapReduce: An In-depth Study
MapReduce has been widely used for large-scale data analysis in the Cloud. The system is well recognized for its elastic scalability and fine-grained fault tolerance although its...
Dawei Jiang, Beng Chin Ooi, Lei Shi, Sai Wu
SIGIR
2009
ACM
15 years 4 months ago
Brute force and indexed approaches to pairwise document similarity comparisons with MapReduce
This paper explores the problem of computing pairwise similarity on document collections, focusing on the application of “more like this” queries in the life sciences domain. ...
Jimmy J. Lin
SIGMETRICS
2009
ACM
151views Hardware» more  SIGMETRICS 2009»
15 years 4 months ago
MapReduce optimization using regulated dynamic prioritization
We present a system for allocating resources in shared data and compute clusters that improves MapReduce job scheduling in three ways. First, the system uses regulated and user-as...
Thomas Sandholm, Kevin Lai