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David Malone is a senior lecturer at Ireland's Maynooth University, where he specializes in the mathematical modeling of network systems.
Computational modeling of network behaviors at the small and large scale.
Linear modeling of network dynamics has been available for some time.
In this work, we address the modeling of network traffic using a multi-time-scale framework.
Accurate measurement and modeling of network performance is important for predicting and optimizing the running time of high-performance computing applications.
Traffic engineering of IP networks requires the characterization and modeling of network traffic on multiple time scales due to the existence of several statistical properties that are invariant across a range of time scales, such as self-similarity, LRD and multifractality.
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"Other people have built hardware models of neural networks.
These require simulators that support the modeling of networks and components with different levels of abstraction.
Network building tools available within Ingenuity were employed for bioinformatic modeling of networks [58], [59].
For statistical modeling of networks, exponential families of distributions offer robust and flexible parametric models [ 24].
A Unified Model of Network Bargaining and Network Formation.
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