Chris Schneider

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SUMMARY Rising complexity within muti-tier computing architectures remains an open problem. As complexity increases so do the costs associated with operating and maintaining systems within these environments. One approach for addressing these problems is to build self-healing systems (i.e., frameworks) that can autonomously detect and recover from faulty(More)
Autonomously detecting and recovering from faults is one approach for reducing the operational complexity and costs associated with managing computing environments. We present a novel methodology for autonomously generating investigation leads that help identify systems faults. Specifically, when historical feature data is present, Hidden Markov Models can(More)
—Autonomously detecting and recovering from faults is one approach for reducing the operational complexity and costs associated with managing computing environments. We present a novel methodology for autonomously generating investigation leads that help identify systems faults, and extends our previous work in this area by leveraging Restricted Boltz-mann(More)
ii I hereby declare that I am the sole author of this thesis. I authorize the University of Manitoba to lend this thesis to other institutions or individuals for the purpose of scholarly research. I further authorize the University of Manitoba to reproduce this thesis by photocopying or other means, in whole or in part, at the request of other institutions(More)
In this paper a parametric measurement approach for double-directional modelling of radio channels is introduced. It is based on broadband real-time MIMO (multiple-input multiple-output) channel sounding measurements which use multiple antennas at both the transmitter and the receiver site. A subsequent super-resolution estimation step determines the(More)
Autonomous fault detection represents one approach for reducing operational costs in large-scale computing environments. However, little empirical evidence exists regarding the implementation or comparison of such methodologies, or offers proof that such approaches reduce costs. This paper compares the effectiveness of several types of stochastic primitives(More)
The dynamic pattern calculus described in this paper integrates the functional mechanism of the lambda-calculus and the capabilities of pattern matching with hedge variables, i.e., variables that can be instantiated by any finite sequence of terms. We propose a generic confluence proof, where the way pattern abstractions are applied in a non-deterministic(More)
A recent study by CECB Associate Director, Christopher Schneider, is helping to dispel a long-standing belief that geographic isolation fosters species diversity in tropical rainforests. Published recently in the Proceedings of the National Academy of Science, his study of an Australian rainforest skink (a lizard), Carlia rubrigularis, demonstrates that(More)
We consider two approaches for real-time end-to-end over-the-air testing for intelligent traffic systems using virtual radio environments. One approach is based on coherent wavefield synthesis, while the other aims at emulating the essential features of a realistic radio channel in vehicular ad-hoc networks. Due to finite hardware resources, the former is(More)