We present a simple and efficient method for reconstructing triangulated surfaces from massive oriented point sample datasets. The method combines streaming and parallelization, m...
Abstract— Previous work has introduced probability distributions as first-class components in uncertain stream database systems. A lacking element is the fact of how accurate the...
We present a technique for increasing the throughput of stream processing architectures by removing the bottlenecks caused by loop structures. We implement loops as self-timed pip...
In this paper, we present a novel architecture to support large scale stream processing services in a widely distributed environment. The proposed system, COSMOS, distinguishes it...
Yongluan Zhou, Karl Aberer, Ali Salehi, Kian-Lee T...
This paper extends for the first time semantic interpretation tools to infinite data in order to ensure Input/Output upper bounds on first order Haskell like programs on streams...