The goal of this research is to develop performance profiles of parallel and distributed applications in order to predict their execution time under different network conditions....
This paper presents a statistical framework to cooperatively design and develop technology, product circuit, benchmarking and model early in the development stage. The statistical...
Choongyeun Cho, Daeik D. Kim, Jonghae Kim, Jean-Ol...
One of the most important challenges in supervised learning is how to evaluate the quality of the models evolved by different machine learning techniques. Up to now, we have relied...
Public administrations of all over the world invest an enormous amount of resources in e-government. How the success of egovernment can be measured is often not clear. E-governmen...
Network traffic matrices are important for various network planning and management operations. Previous work for estimation of traffic matrices is based on either link load record...