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» Semantics-Empowered Big Data Processing with Applications
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ICDE
2012
IEEE
227views Database» more  ICDE 2012»
11 years 7 months ago
Temporal Analytics on Big Data for Web Advertising
—“Big Data” in map-reduce (M-R) clusters is often fundamentally temporal in nature, as are many analytics tasks over such data. For instance, display advertising uses Behavio...
Badrish Chandramouli, Jonathan Goldstein, Songyun ...
SC
2004
ACM
13 years 10 months ago
Big Wins with Small Application-Aware Caches
Large datasets, on the order of GB and TB, are increasingly common as abundant computational resources allow practitioners to collect, produce and store data at higher rates. As d...
Julio C. López, David R. O'Hallaron, Tianka...
DEBU
2007
75views more  DEBU 2007»
13 years 4 months ago
Thinking Big About Tiny Databases
Work on early tiny database systems, like TinyDB [17] and Cougar [23] has shown that a declarative approach can provide a powerful and easy to use interface for collecting data fr...
Michael J. Franklin, Joseph M. Hellerstein, Samuel...
ICPPW
2009
IEEE
13 years 2 months ago
Characterizing the Performance of
Using Linux for high-performance applications on the compute nodes of IBM Blue Gene/P is challenging because of TLB misses and difficulties with programming the network DMA engine...
Kazutomo Yoshii, Kamil Iskra, Harish Naik, Pete Be...
CCGRID
2009
IEEE
13 years 2 months ago
Block-Based Concurrent and Storage-Aware Data Streaming for Grid Applications with Lots of Small Files
Data streaming management and scheduling is required by many grid computing applications, especially when the volume of data to be processed is extremely high while available stor...
Wen Zhang, Junwei Cao, Yisheng Zhong, Lianchen Liu...