Location
https://www.kennesaw.edu/ccse/events/computing-showcase/fa25-cday-program.php
Document Type
Event
Start Date
24-11-2025 4:00 PM
Description
This project presents a performance analysis of virtualization, containerization, and hybrid container-in-VM architectures in modern operating systems. Virtual machines provide strong isolation and system stability but incur higher CPU, memory, and startup costs. Containers offer lightweight and fast execution but rely on weaker isolation. To evaluate a balanced alternative, performance data was extracted from recent research and modeled using a Monte Carlo simulation with 1,000 randomized workloads. A unified Hybrid Efficiency Score (HES) was introduced to compare systems consistently, weighting efficiency at 70% and isolation at 30%. Simulation results demonstrate that hybrid systems achieve the highest efficiency–isolation balance, with an average HES of ~0.82, compared to containers (~0.78) and virtual machines (~0.62). Hybrid architectures significantly reduce CPU overhead to 14.86%, nearly one-third lower than VMs (29.91%), and provide better energy savings (31.84%) than both VMs (0%) and containers (24.94%). Startup time also remains moderate (3.01 s), bridging the gap between fast containers (1.04 s) and slow VMs (30.19 s). Overall, these findings highlight hybrid container-in-VM architectures as a promising approach for achieving better trade-offs in efficiency, isolation, and scalability across cloud, edge, and high-performance computing environments.
Included in
GRP-1190 Hybrid Virtualization Performance Modeling Using Monte Carlo Simulation
https://www.kennesaw.edu/ccse/events/computing-showcase/fa25-cday-program.php
This project presents a performance analysis of virtualization, containerization, and hybrid container-in-VM architectures in modern operating systems. Virtual machines provide strong isolation and system stability but incur higher CPU, memory, and startup costs. Containers offer lightweight and fast execution but rely on weaker isolation. To evaluate a balanced alternative, performance data was extracted from recent research and modeled using a Monte Carlo simulation with 1,000 randomized workloads. A unified Hybrid Efficiency Score (HES) was introduced to compare systems consistently, weighting efficiency at 70% and isolation at 30%. Simulation results demonstrate that hybrid systems achieve the highest efficiency–isolation balance, with an average HES of ~0.82, compared to containers (~0.78) and virtual machines (~0.62). Hybrid architectures significantly reduce CPU overhead to 14.86%, nearly one-third lower than VMs (29.91%), and provide better energy savings (31.84%) than both VMs (0%) and containers (24.94%). Startup time also remains moderate (3.01 s), bridging the gap between fast containers (1.04 s) and slow VMs (30.19 s). Overall, these findings highlight hybrid container-in-VM architectures as a promising approach for achieving better trade-offs in efficiency, isolation, and scalability across cloud, edge, and high-performance computing environments.