Abstract. Accurately modeling and predicting performance for largescale applications becomes increasingly difficult as system complexity scales dramatically. Analytic predictive mo...
Engin Ipek, Bronis R. de Supinski, Martin Schulz, ...
This paper presents a set of techniques for providing fine-grained failover of long-running connections across a distributed collection of replica servers, and is especially usefu...
Alex C. Snoeren, David G. Andersen, Hari Balakrish...
Use of model-checking approaches for test generation from requirement models have been proposed by several researchers. These approaches leverage the witness (or counter-example) ...
Mats Per Erik Heimdahl, Sanjai Rayadurgam, Willem ...
We propose a unified neural network architecture and learning algorithm that can be applied to various natural language processing tasks including: part-of-speech tagging, chunki...
Radiotherapy planning is a complex problem which requires both expertise and experience of an oncologist. A Case Based Reasoning (CBR) system is developed to generate dose plans f...