We investigate runtime strategies for data-intensive applications that involve generalized reductions on large, distributed datasets. Our set of strategies includes replicated fi...
— Log-linear models are widely used for labeling feature vectors and graphical models, typically to estimate robust conditional distributions in presence of a large number of pot...
Spatial databases are entering an era of mass deployment in various real-life applications, especially mobile and location-based services. The real-time processing of spatial quer...
As technology scales and the energy of computation continually approaches thermal equilibrium [1,2], parameter variations and noise levels will lead to larger error rates at vario...
Most parallel computing resources are controlled by batch schedulers that place requests for computation in a queue until access to compute nodes is granted. Queue waiting times a...