Developing and evolving complex Web-based systems with strict requirement for shorter time-to-market needs good and systematic engineering approaches and especially an elegant way...
In this paper, we propose a general survivability quantification framework which is applicable to a wide range of system architectures, applications, failure/recovery behaviors, ...
In this poster, we will propose a framework for finding, recommending and inserting learning objects in a digital repository level, exploiting the user context that is captured fro...
This paper presents an OMNeT-based Framework to simulate large complex storage networks, with its corresponding underlying subsystems (I/O, Networking, etc.). With this Framework,...
Applying Vector Autoregression (VAR) and genetic algorithm (GA) in hybrid systems with neural network can improve the NN's prediction capability. Two case studies have been ca...