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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...
This paper deeply and experimentally analyzes the efficiency of low power idle techniques when applied to packet processing engines of network devices. To this purpose, we set up a complex testbed that allowed us to perform several measurements on energy- and network-performance indexes. The reference device platforms that we selected for this evaluation are new generation software routers based on...
In this contribution, we focus on energy-aware devices able to reduce their energy requirements by adapting their performance. We propose an extension of an analytical model to accurately represent the impact of green networking technologies - namely, low power idle (LPI) and adaptive rate (AR) - on network- and energy-related performance indexes. We focus on a packet-processing engine within a switching...
In this paper, we consider energy-aware network devices (e.g. routers, switches, etc.) able to trade their energy consumption for packet forwarding performance by means of DVFS techniques. We focus on state-of-the-art packet processing engines, which generally represent the most energy-starving components of network devices, and which are often composed of a number of parallel pipelines to “divide...
In this paper, we consider energy-aware network devices (e.g. routers, switches, etc.) able to trade their energy consumption for packet forwarding performance by means of both low power idle and adaptive rate schemes. We focus on state-of-the-art packet processing engines, which generally represent the most energy-starving components of network devices, and which are often composed of a number of...
In this contribution, we focus 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...
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