pMapper is a power and migration cost-aware application placement controller designed for virtualized systems. It addresses the challenge of placing applications on physical servers while considering both performance and energy efficiency. The controller dynamically places applications to minimize power consumption while meeting performance requirements. The key contributions of pMapper include the design and implementation of a framework that incorporates power and performance management through virtualization mechanisms. The framework includes algorithms for power minimization under performance constraints and migration cost-aware placement. pMapper has been validated through extensive experiments on real-world server platforms, demonstrating its effectiveness in reducing power consumption and migration costs. The framework considers various factors such as server utilization, application performance, and migration costs to optimize application placement. The results show that pMapper outperforms traditional placement strategies in terms of power and migration cost efficiency. The algorithms are designed to handle heterogeneous server environments and account for the dynamic nature of workloads. The study highlights the importance of considering both power and migration costs in application placement to achieve optimal resource utilization and energy efficiency in virtualized systems.pMapper is a power and migration cost-aware application placement controller designed for virtualized systems. It addresses the challenge of placing applications on physical servers while considering both performance and energy efficiency. The controller dynamically places applications to minimize power consumption while meeting performance requirements. The key contributions of pMapper include the design and implementation of a framework that incorporates power and performance management through virtualization mechanisms. The framework includes algorithms for power minimization under performance constraints and migration cost-aware placement. pMapper has been validated through extensive experiments on real-world server platforms, demonstrating its effectiveness in reducing power consumption and migration costs. The framework considers various factors such as server utilization, application performance, and migration costs to optimize application placement. The results show that pMapper outperforms traditional placement strategies in terms of power and migration cost efficiency. The algorithms are designed to handle heterogeneous server environments and account for the dynamic nature of workloads. The study highlights the importance of considering both power and migration costs in application placement to achieve optimal resource utilization and energy efficiency in virtualized systems.