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JUCS
2006
107views more  JUCS 2006»
13 years 7 months ago
Sequential Data Assimilation: Information Fusion of a Numerical Simulation and Large Scale Observation Data
: Data assimilation is a method of combining an imperfect simulation model and a number of incomplete observation data. Sequential data assimilation is a data assimilation in which...
Kazuyuki Nakamura, Tomoyuki Higuchi, Naoki Hirose
WWW
2009
ACM
14 years 8 months ago
Smart Miner: a new framework for mining large scale web usage data
In this paper, we propose a novel framework called SmartMiner for web usage mining problem which uses link information for producing accurate user sessions and frequent navigation...
Murat Ali Bayir, Ismail Hakki Toroslu, Ahmet Cosar...
IPPS
2007
IEEE
14 years 1 months ago
An Energy-Efficient Framework for Large-Scale Parallel Storage Systems
Huge energy consumption has become a critical bottleneck for further applying large-scale cluster systems to build new data centers. Among various components of a data center, sto...
Ziliang Zong, Matt Briggs, Nick O'Connor, Xiao Qin
ICPPW
2008
IEEE
14 years 2 months ago
Simulating Failures on Large-Scale Systems
—Developing fault management mechanisms is a difficult task because of the unpredictable nature of failures. In this paper, we present a fault simulation framework for Blue Gene...
Narayan Desai, Ewing L. Lusk, Daniel Buettner, And...
DBKDA
2010
IEEE
127views Database» more  DBKDA 2010»
13 years 6 months ago
Failure-Tolerant Transaction Routing at Large Scale
—Emerging Web2.0 applications such as virtual worlds or social networking websites strongly differ from usual OLTP applications. First, the transactions are encapsulated in an AP...
Idrissa Sarr, Hubert Naacke, Stéphane Gan&c...