With the aim of controlling power consumption in metro/transport and core
networks, we consider energy-aware devices able to reduce their energy
requirements by adapting their performance. In particular, we focus on
state-of-the-art packet processing engines, which generally represent the most
energy-consuming components of network devices, and which are often composed of
a number of parallel pipelines to “divide and conquer” the incoming traffic
load. Our goal is to control both the power configuration of pipelines and the
way to distribute traffic flows among them. 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 loaded by real-world traffic traces. The achieved results
demonstrate how the proposed model can effectively represent energy- and
network-aware performance indexes. On this basis, we propose a constrained
optimization policy, which seeks the best tradeoff between power consumption
and packet latency times. 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. In
order to deeply understand the impact of such policy, a number of tests have
been performed by using experimental data from software router architectures
and real-world traffic traces.
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