JOURNAL ARTICLE

Energy-Aware Resource Adaptation for Next-Generation Network Equipment

Abstract

Besides a more widespread sensitivity to ecological issues, the \ninterest in energy-efficient network technologies springs from \nheavy and critical economical needs, since both energy cost and \nnetwork electrical requirements show a continuous growth, with \nan alarming trend over the past years. In this contribution, we \nexplore and try to evaluate the feasibility and the impact of power \nmanagement policies able to well suit a heterogeneous set of \nhighly modular architectures, generally used for developing \ntoday’s network equipment. The proposed policies aim at \noptimizing the power consumption of each device component \nwith respect to its expected network performance. Finally, in \norder to provide an experimental evaluation of the proposed ideas, \nwe applied such power management policies to a new generation \nSW router platform, and we evaluated it with real traffic traces.

Keywords:
Computer science Modular design Router Component (thermodynamics) Energy consumption Adaptation (eye) Networking hardware Embedded system Distributed computing Resource management (computing) Set (abstract data type) Computer network Engineering Operating system

Metrics

7
Cited By
0.69
FWCI (Field Weighted Citation Impact)
10
Refs
0.78
Citation Normalized Percentile
Is in top 1%
Is in top 10%

Citation History

Topics

Software-Defined Networks and 5G
Physical Sciences →  Computer Science →  Computer Networks and Communications
Advanced Optical Network Technologies
Physical Sciences →  Engineering →  Electrical and Electronic Engineering
Interconnection Networks and Systems
Physical Sciences →  Computer Science →  Computer Networks and Communications
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