Analysis of Performance and Power Aspects of Hypervisors in Soft Real-Time Embedded Systems

The exponential growth of malware designed to attack soft real-time embedded systems has necessitated solutions to secure these systems. Hypervisors are a solution, but the overhead imposed by them needs to be quantitatively understood. Experiments were conducted to quantify the overhead hypervisors impose on soft real-time embedded systems. A soft real-time computer vision algorithm was executed, with average and worst-case execution times measured as well as the average power consumption. These experiments were conducted with two hypervisors and a control configuration. The experiments showed that each hypervisor imposed differing amounts of overhead, with one achieving near native performance and the other noticeably impacting the performance of the system.

Name thesis:degree_name

Computer Engineering

Level thesis:degree_level

Thesis

Discipline thesis:degree_discipline

Electrical and Computer Engineering

Year

2016

Author dc:creator

• Guthrie, John

Contributors dc:contributor

• Heileman, Gregory
• Lamb, Chris
• Shu, Wennie

• hypervisor
• virtualization
• soft real-time
• Docker
• KVM
• embedded
• performance
• power

Language dc:language

English

Repository record dc:identifier

https://digitalrepository.unm.edu/ece_etds/108

OAI identifier oai:identifier

oai:digitalrepository.unm.edu:ece_etds-1107