ating Structures is a system abstraction that helps to model large-scale distributed systems, whose performance mostly depends on how well the data and messages traffic is organiz...
Recently, a technique called quotient cube was proposed as a summary structure for a data cube that preserves its semantics, with applications for online exploration and visualiza...
Learning Bayesian networks from data is an N-P hard problem with important practical applications. Several researchers have designed algorithms to overcome the computational comple...
As feature sizes shrink, transient failures of on-chip network links become a critical problem. At the same time, many applications require guarantees on both message arrival prob...
In this paper, we investigate the effects of using three different nursery sizing policies on overall and garbage collection performances. As part of our investigation, we modify ...