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SIGMOD
2011
ACM
210views Database» more  SIGMOD 2011»
12 years 8 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...
SIGMOD
2010
ACM
214views Database» more  SIGMOD 2010»
13 years 10 months ago
ParaTimer: a progress indicator for MapReduce DAGs
Time-oriented progress estimation for parallel queries is a challenging problem that has received only limited attention. In this paper, we present ParaTimer, a new type of timere...
Kristi Morton, Magdalena Balazinska, Dan Grossman
CIKM
2009
Springer
14 years 10 days ago
Packing the most onto your cloud
Parallel dataflow programming frameworks such as Map-Reduce are increasingly being used for large scale data analysis on computing clouds. It is therefore becoming important to a...
Ashraf Aboulnaga, Ziyu Wang, Zi Ye Zhang
CIKM
2010
Springer
13 years 3 months ago
Adaptive query execution for data management in the cloud
A major component of many cloud services is query processing on data stored in the underlying cloud cluster. The traditional techniques for query processing on a cluster are those...
Adrian Daniel Popescu, Debabrata Dash, Verena Kant...
SASO
2007
IEEE
14 years 1 days ago
Clustering Distributed Energy Resources for Large-Scale Demand Management
Managing demand for electrical energy allows generation facilities to be run more efficiently. Current systems allow for management between large industrial consumers. There is, ...
Elth Ogston, Astrid Zeman, Mikhail Prokopenko, Geo...