Parallel dataflow programs generate enormous amounts of distributed data that are short-lived, yet are critical for completion of the job and for good run-time performance. We ca...
Steven Y. Ko, Imranul Hoque, Brian Cho, Indranil G...
In contrast to a large body of theoretical work on computer systems, distributed systems are not idealised constructions, unconstrained by physical world limitations. They must be...
Modern distributed information systems handle increasingly critical data and computation, but there is no systematic way to assess whether a given part of the system can be entrus...
Partha Pratim Pal, Franklin Webber, Michael Atighe...
We present novel intelligent tools for mining 3D medical images. We focus on detecting discriminative Regions of Interest (ROIs) and mining associations between their spatial distr...
A shared disk implementation on distributed storage requires consistent behavior of disk operations. Deterministic consensus on such behavior is impossible when even a single stor...