The use of adaptive techniques in mobile networks permits scalable resource allocation policies to meet varying demand as well as Quality of Service (QoS) performance objectives. As these algorithms operate at multiple layers of the communications architecture, evaluation of such techniques must take into account a variety of scenarios, which are in turn parameterized by a large number of variables. The need to monitor algorithm behavior in real time results in a data explosion. In this work, we propose new real-time metrics to characterize and identify the critical states of a mobile network in the wake of channel failures, congestion, signal degradation, etc. We use these metrics to define a survivability index, a measure of mobile network performance in the wake of failures. We demonstrate the effectiveness of information visu alization techniques in understanding the complex spatial and temporal relationships between perfor mance and cost metrics that influence adaptive algo rithms. Our visualization system is highly scalable and interactive, permitting multiple algorithms to be simultaneously evaluated. We demonstrate applica tions to network monitoring and to the design and evaluation of adaptive admission control algorithms.
|Original language||English (US)|
|Number of pages||13|
|State||Published - Sep 2001|
- Mobile networks
ASJC Scopus subject areas
- Modeling and Simulation
- Computer Graphics and Computer-Aided Design