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PVLDB
2008
182views more  PVLDB 2008»
14 years 9 months ago
SCOPE: easy and efficient parallel processing of massive data sets
Companies providing cloud-scale services have an increasing need to store and analyze massive data sets such as search logs and click streams. For cost and performance reasons, pr...
Ronnie Chaiken, Bob Jenkins, Per-Åke Larson,...
JBCS
2010
152views more  JBCS 2010»
14 years 8 months ago
Evolution support in heterogeneous service-oriented landscapes
We present an incarnation of the Enterprise Physics vision sketched in [3] that provides automatic or semi-automatic support for evolution and change management in heterogeneous le...
Tiziana Margaria, Bernhard Steffen, Christian Kubc...
TKDE
2010
184views more  TKDE 2010»
14 years 8 months ago
The Dynamic Bloom Filters
—A Bloom filter is an effective, space-efficient data structure for concisely representing a set, and supporting approximate membership queries. Traditionally, the Bloom filter a...
Deke Guo, Jie Wu, Honghui Chen, Ye Yuan, Xueshan L...
MASS
2010
119views Communications» more  MASS 2010»
14 years 7 months ago
Energy-efficient data redistribution in sensor networks
We address the energy-efficient data redistribution problem in data intensive sensor networks (DISNs). The key question in sensor networks with large volumes of sensory data is how...
Bin Tang, Neeraj Jaggi, Haijie Wu, Rohini Kurkal
TRIDENTCOM
2010
IEEE
14 years 7 months ago
G-Lab Deep: Cross-Layer Composition and Security for a Flexible Future Internet
The Internet enables the way how global businesses and communities communicate today. In the last years, however, new demands have collided with old designs, resulting in a complex...
Carsten Schmoll, Christian Henke, Dirk Hoffstadt, ...
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