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OTM
2010
Springer
13 years 5 months ago
On the Expressiveness and Trade-Offs of Large Scale Tuple Stores
Massive-scale distributed computing is a challenge at our doorstep. The current exponential growth of data calls for massive-scale capabilities of storage and processing. This is b...
Ricardo Vilaça, Francisco Cruz, Rui Carlos ...
CCS
2009
ACM
14 years 2 months ago
Ripley: automatically securing web 2.0 applications through replicated execution
Rich Internet applications are becoming increasingly distributed, as demonstrated by the popularity of AJAX or Web 2.0 applications such as Facebook, Google Maps, Hotmail and many...
K. Vikram, Abhishek Prateek, V. Benjamin Livshits
SIGIR
2006
ACM
14 years 1 months ago
Large scale semi-supervised linear SVMs
Large scale learning is often realistic only in a semi-supervised setting where a small set of labeled examples is available together with a large collection of unlabeled data. In...
Vikas Sindhwani, S. Sathiya Keerthi
MASCOTS
2008
13 years 9 months ago
Tackling the Memory Balancing Problem for Large-Scale Network Simulation
A key obstacle to large-scale network simulation over PC clusters is the memory balancing problem where a memory-overloaded machine can slow down an entire simulation due to disk ...
Hyojeong Kim, Kihong Park
EUROPAR
2009
Springer
14 years 2 months ago
MapReduce Programming Model for .NET-Based Cloud Computing
Recently many large scale computer systems are built in order to meet the high storage and processing demands of compute and data-intensive applications. MapReduce is one of the mo...
Chao Jin, Rajkumar Buyya