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:
Impact of Virtualization and Containers on Application Performance and Energy Consumption
Event Type
Posters
Receptions
Student Posters
VisDataAnalytics Tags
VisDataAnalytics
Application Tags
Applications
Student Program Tags
Student Program
Facilitation Tags
Facilitation
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Workforce
TimeTuesday, July 246:30pm - 8:30pm
DescriptionIt is well-known that applications run faster when run on bare-metal; however, virtualization is omnipresent and is endemic to cloud systems. For some applications, e.g. legacy code or applications which spend much of the time idle, virtual machines are a good choice and one needn’t really worry about performance costs; however, there are certainly situations in which one would want to know about the performance impact of virtualization and containers. Here, we compare performance penalties on a stand-alone server while using KVM (kernel-based virtual machine) virtualization and containers on Docker and Singularity for creating isolated environments for SPEC ACCEL and SPEC OMP2012 benchmarks suites. We then repeat this procedure in a virtual machine and in containers (KVM, Docker, Singularity) on a stand-alone server and on the Jetstream cloud system. For a subset of tests on the stand-alone server, we also measure energy virtualization impacts energy efficiency as previous work has shown that virtualization increases energy consumption as it reduces computational performance.