Green networking is the practice of selecting energy-efficient networking technologies and products, and minimizing resource use whenever possible. In single pipeline, which represents the behavior and the performance of an energy-aware network device that includes LPI and AR capabilities? The main goal is to control both the power configuration of pipelines, and provide best way to distribute traffic flow among them. This work focused on state-of-the art packet processing engines, which are often composed of a number of parallel pipelines to “divide and conquer” the incoming traffic load. In this contribution, the system focuses on energy-aware devices able to reduce their energy requirements by adapting their performance. We propose an analytical model to accurately represent the impact of green network technologies (i.e., low power idle and adaptive rate) on network – and energy-aware performance indexes. The model has been validated with experimental results, performed by using energy-aware software routers and real-world traffic traces. The achieved results demonstrate how the proposed model can effectively represent energy- and network-aware performance indexes. Moreover, also an optimization procedure based on the model has been proposed and experimentally evaluated. The procedure aims at dynamically adapting the energy-aware device configuration to minimize energy consumption, while coping with incoming traffic volumes and meeting network performance constraints. Telecom operators, Internet Service Providers and public organizations reported statistics of network energy requirements and the related carbon footprint, showing an alarming and growing trend.