You have requested a machine translation of selected content from our databases. This functionality is provided solely for your convenience and is in no way intended to replace human translation. Neither SPIE nor the owners and publishers of the content make, and they explicitly disclaim, any express or implied representations or warranties of any kind, including, without limitation, representations and warranties as to the functionality of the translation feature or the accuracy or completeness of the translations.
Translations are not retained in our system. Your use of this feature and the translations is subject to all use restrictions contained in the Terms and Conditions of Use of the SPIE website.
2 February 2001Traffic modeling in a reconfigurable broadband nomadic computing environment
Reconfiguring a network to counter variations in traffic is expected to greatly enhance optimal usage of network resources. But an important input to this method is the traffic fluctuations themselves. We have developed two models for this purpose to describe the time-dependent variations in traffic at a base station in a nomadic computing, wireless environment. The first model is rather simple and does not take into account details of human behavior. It takes into account the probabilities of choosing different applications. The model is also analyzed and experimented with to identify the important input parameters. The second model, a refined version of the first model, takes into account details of relevant human behavior (in the context of a wireless nomadic computing environment). Finally, we have compared the two models on the basis of their complexity and validity in different situations.
The alert did not successfully save. Please try again later.
Richa Malhotra, Diptish Dey, Eric A. Van Doorn, Antonius M. J. Koonen, "Traffic modeling in a reconfigurable broadband nomadic computing environment," Proc. SPIE 4211, Internet Quality and Performance and Control of Network Systems, (2 February 2001); https://doi.org/10.1117/12.417474