Abstract-- In this paper, we address the issue of forecasting for periodically measured nonstationary traffic based on statistical time series modeling. Often with time series base...
Randomness extractors convert weak sources of randomness into an almost uniform distribution; the conversion uses a small amount of pure randomness. In algorithmic applications, t...
In a public cloud, bandwidth is traditionally priced in a pay-asyou-go model. Reflecting the recent trend of augmenting cloud computing with bandwidth guarantees, we consider a n...
This paper proposes a middleware to reduce the and consistency are usually poor since they depend on cell consumption of network resources and optimize the provision of size; GPS t...
We present procedures and tools for the analysis of network traffic measurements. The tools consist of stand-alone 1 modules that implement advanced statistical analysis procedure...