Background: Graph theory provides a computational framework for modeling a variety of datasets including those emerging from genomics, proteomics, and chemical genetics. Networks ...
Joshua J. Forman, Paul A. Clemons, Stuart L. Schre...
- In this paper, we present a tool to extract I/O traces from very large applications running at full scale during their production runs. We analyze these traces to gain informatio...
Nithin Nakka, Alok N. Choudhary, Wei-keng Liao, Le...
Network traffic can be represented by a Traffic Dispersion Graph (TDG) that contains an edge between two nodes that send a particular type of traffic (e.g., DNS) to one another. T...
Marios Iliofotou, Michalis Faloutsos, Michael Mitz...
Technological advancements in communication and embedded computing lead to the increasing application of decentralized structures in automation and control. The decentralization a...
We present a novel systematic method to obtain componentwise ultimate bounds in perturbed sampled-data systems, especially when the perturbations arise due to quantization. The pr...