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The purpose of this experiment is to study whether there is a difference in applied finger force between violinists of different skill proficiencies. It has been hypothesized that more experienced violinists will apply less force during play in their thumb and index fingers. It was found that there was significant

The purpose of this experiment is to study whether there is a difference in applied finger force between violinists of different skill proficiencies. It has been hypothesized that more experienced violinists will apply less force during play in their thumb and index fingers. It was found that there was significant difference in the peak forces applied by the index finger, thumb, and grip (p < 0.05) in all groups except beginner and intermediate violinists in peak thumb force. Significant differences were also found in the continuous force applied by the index finger and grip as well as the standard deviation of the continuous force applied by the thumb (p < 0.05). Additionally, there were no significant differences in the correlation between continuous applied index finger and thumb forces or latency in index and thumb force between different levels or proficiencies (p > 0.05). Due to these results, the hypothesis could not be fully accepted signifying that further testing must be performed.
ContributorsNguyen, Andre (Author) / Helms Tillery, Stephen (Thesis director) / Tanner, Justin (Committee member) / Harrington Bioengineering Program (Contributor) / Barrett, The Honors College (Contributor)
Created2018-05
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Description
Virtual machines and containers have steadily improved their performance over time as a result of innovations in their architecture and software ecosystems. Network functions and workloads are increasingly migrating to virtual environments, supported by developments in software defined networking (SDN) and network function virtualization (NFV). Previous performance analyses

Virtual machines and containers have steadily improved their performance over time as a result of innovations in their architecture and software ecosystems. Network functions and workloads are increasingly migrating to virtual environments, supported by developments in software defined networking (SDN) and network function virtualization (NFV). Previous performance analyses of virtual systems in this context often ignore significant performance gains that can be acheived with practical modifications to hypervisor and host systems. In this thesis, the network performance of containers and virtual machines are measured with standard network performance tools. The performance of these systems utilizing a standard 3.18.20 Linux kernel is compared to that of a realtime-tuned variant of the same kernel. This thesis motivates improving determinism in virtual systems with modifications to host and guest kernels and thoughtful process isolation. With the system modifications described, the median TCP bandwidth of KVM virtual machines over bridged network interfaces, is increased by 10.8% with a corresponding reduction in standard deviation of 87.6%. Docker containers see a 8.8% improvement in median bandwidth and 4.4% reduction in standard deviation of TCP measurements using similar bridged networking. System tuning also reduces the standard deviation of TCP request/response latency (TCP RR) over bridged interfaces by 86.8% for virtual machines and 97.9% for containers. Hardware devices assigned to virtual systems also see reductions in variance, although not as noteworthy.
ContributorsWelch, James Matthew (Author) / Syrotiuk, Violet R. (Thesis advisor) / Wu, Carole-Jean (Committee member) / Speyer, Gil (Committee member) / Arizona State University (Publisher)
Created2015