Stephen F. Bush

A control and management network for wireless ATM systems

This paper describes the design of a control and management network (orderwire) for a mobile wireless Asynchronous Transfer Mode (ATM) network. This mobile wireless ATM network is part of the Rapidly Deployable Radio Network (RDRN). The orderwire system consists of a packet radio network which overlays the mobile wireless ATM network. Each network element in this network uses Global Positioning System (GPS) information to control a beamforming antenna subsystem which provides for spatial reuse. This paper also proposes a novel Virtual Network Configuration (VNC) algorithm for predictive network configuration. A mobile ATM Private Network–Network Interface (PNNI) based on VNC is also discussed. Finally, as a prelude to the system implementation, results of a Maisie simulation of the orderwire system are discussed.

Information assurance through Kolmogorov complexity

The problem of information assurance is approached from the point of view of Kolmogorov complexity and minimum message length criteria. Several theoretical results are obtained, possible applications are discussed and a new metric for measuring complexity is introduced. Utilization of Kolmogorov complexity like metrics as conserved parameters to detect abnormal system behavior is explored. Data and process vulnerabilities are put forward as two different dimensions of vulnerability that can be discussed in terms of Kolmogorov complexity. Finally, these results are utilized to conduct complexity-based vulnerability analysis.

A Framework for Predictive Network Management ofPredictive Mobile Networks

There is a trend toward the use of predictivesystems in communications networks. At the systems andnetwork management level predictive capabilities arefocused on anticipating network faults and performance degradation. Simultaneously, mobilecommunication networks are being developed withpredictive location and tracking mechanisms. Theinteractions and synergies between these systems presenta new set of problems. A new predictive network managementframework is developed and examined. The interactionbetween a predictive mobile network and the proposednetwork management system is discussed. The Rapidly Deployable Radio Network (RDRN) is used as aspecific example to illustrate theseinteractions.

Mobile ATM buffer capacity analysis

This paper extends a stochastic theory for buffer fill distribution for multiple “on” and “off” sources to a mobile environment. Queue fill distribution is described by a set of differential equations assuming sources alternate asynchronously between exponentially distributed periods in “on” and “off” states. This paper includes the probabilities that mobile sources have links to a given queue. The sources represent mobile user nodes, and the queue represents the capacity of a switch. This paper presents a method of analysis which uses mobile parameters such as speed, call rates per unit area, cell area, and call duration and determines queue fill distribution at the ATM cell level. The analytic results are compared with simulation results.