Practical network programming in .NET
This paper examines issues that surround teaching introductory network programming concepts using the .NET framework. The authors of the paper have developed a simple Visual Basic 2005 class that hides much of the network programming complexity allowing students to concentrate on learning common protocol implementation concepts. The code to the class is provided and discussed in this paper as well.
This paper addresses the issue of the interval forecasting (constructing prediction intervals for future observations) of the traffic data time series using one of local polynomial nonparametric models - the local linear predictor. Two methods are proposed and compared. One is based on the theoretical formulation of the asymptotic prediction intervals and another is an empirical procedure using bootstrap, both for the local linear predictor. Finally, a case study using real-world traffic data is presented for both approaches, along with the results compared with each other. The results coincide with expectations and have validated the proposed methods.