Arnie Neidhardt

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We present adaptive network Quality of Service (QoS) technology that provides delay bounds and capacity guarantees for traffic belonging to mission-critical tasks. Our technology uses a Bandwidth Broker to provide admission control and leverages the differentiated aggregated traffic treatment provided by today’s high-end COTS layer-3/2 switches. The(More)
We investigate the importance of understanding traffic characteristics for admission-control policies in packet networks. We compare the network utilization achieved with admission policies based on a partial knowledge of admitted traffic against the utilization that could be achieved with complete knowledge of traffic characteristics. Our quantitative(More)
Modern technology can equip small devices (like mobile phones) with sensing-capabilities for various threats, offering a mobile, 'opportunistic' pool of secondary sensors that can be polled to augment the information provided by a pre-deployed set of primary sensors, to reduce uncertainty in threat-detection. We derive an optimal decision-rule for fusing(More)
We present an analytical model and propose an efficient algorithm for evaluating call blocking in GSM networks with directed retry, where a call blocked by the sector of its initial attempt may be redirected to one or more alternative sectors. Since exact solution by Markov-chain analysis is unfeasible in large networks owing to the size of the state-space,(More)
| Knowing traac characteristics in packet networks is important for designing algorithms for managing and controlling packet networks. We demonstrate that for realistic traac traces knowing few elementary traac characteristics can substantially improve network utilization. Nevertheless, this improvement is often modest in comparison with the improvement(More)
We investigate the importance of understanding traac characteristics for Call Admission Control (CAC) policies in an ATM network. We are particularly interested in whether it pays oo to characterize traac on more than one time scale. Speciically, we compare the network utilization that could be achieved with complete knowledge of traac characteristics,(More)
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