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» Component Engineering for Large Database Applications
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EDBT
2010
ACM
188views Database» more  EDBT 2010»
13 years 10 months 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-...
SIGMOD
2009
ACM
250views Database» more  SIGMOD 2009»
14 years 7 months ago
Query processing techniques for solid state drives
Solid state drives perform random reads more than 100x faster than traditional magnetic hard disks, while offering comparable sequential read and write bandwidth. Because of their...
Dimitris Tsirogiannis, Stavros Harizopoulos, Mehul...
SC
2009
ACM
14 years 2 months ago
Exploring many task computing in scientific workflows
One of the main advantages of using a scientific workflow management system (SWfMS) to orchestrate data flows among scientific activities is to control and register the whole work...
Eduardo S. Ogasawara, Daniel de Oliveira, Fernando...
SIGCOMM
2006
ACM
14 years 1 months ago
Building an AS-topology model that captures route diversity
An understanding of the topological structure of the Internet is needed for quite a number of networking tasks, e.g., making decisions about peering relationships, choice of upstr...
Wolfgang Mühlbauer, Anja Feldmann, Olaf Maenn...
SIGMOD
2008
ACM
215views Database» more  SIGMOD 2008»
14 years 7 months ago
CSV: visualizing and mining cohesive subgraphs
Extracting dense sub-components from graphs efficiently is an important objective in a wide range of application domains ranging from social network analysis to biological network...
Nan Wang, Srinivasan Parthasarathy, Kian-Lee Tan, ...