research-article

Energy saving and network performance: a trade-off approach

Authors:

Carla Panarello,

Alfio Lombardo,

Giovanni Schembra,

Luca Chiaraviglio,

Marco MelliaAuthors Info & Claims

e-Energy '10: Proceedings of the 1st International Conference on Energy-Efficient Computing and Networking

Pages 41 - 50

https://doi.org/10.1145/1791314.1791321

Published: 13 April 2010 Publication History

Abstract

Power consumption of the Information and Communication Technology sector (ICT) has recently become a key challenge. In particular, actions to improve energy-efficiency of Internet Service Providers (ISPs) are becoming imperative. To this purpose, in this paper we focus on reducing the power consumption of access nodes in an ISP network, by controlling the amount of service capacity each network device has to offer to meet the actual traffic demand. More specifically, we propose a Green router (G-router) implementing a congestion control technique named Active Window Management (AWM) coupled with a new capacity scaling algorithm named Energy Aware service Rate Tuner Handling (EARTH). The AWM characteristics allow to detect whether a waste of energy is playing out, whereas EARTH is aimed at invoking power management primitives at the hardware level to precisely control the current capacity of access nodes and consequently their power consumption. We test the benefits of the AWM-EARTH mechanism on a realistic scenario. Results show that the capacity scaling technique can save up to 70% of power consumption, while guaranteeing Quality of Service and traffic demand constraints.

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Cited By

Głąbowski MSobieraj MStasiak MDominik Stasiak M(2020)Modeling of Clos Switching Structures with Dynamically Variable Number of Active Switches in the Spine StageElectronics10.3390/electronics90710739:7(1073)Online publication date: 30-Jun-2020
https://doi.org/10.3390/electronics9071073
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Index Terms

Energy saving and network performance: a trade-off approach

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cover image ACM Other conferences

e-Energy '10: Proceedings of the 1st International Conference on Energy-Efficient Computing and Networking

April 2010

239 pages

ISBN:9781450300421

DOI:10.1145/1791314

General Chairs:
Randy Katz
UC Berkeley
,
David Hutchison
Lancaster University, U.K.

Copyright © 2010 ACM.

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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IFIP TC6
University of Passau

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SIGCOMM: ACM Special Interest Group on Data Communication

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Association for Computing Machinery

New York, NY, United States

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Published: 13 April 2010

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e-Energy '10

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e-Energy '10: 1st Int'l Conf. on Energy-Efficient Computing and Networking

April 13 - 15, 2010

Passau, Germany

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Overall Acceptance Rate 160 of 446 submissions, 36%

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Xia QKorpela JNamioka YMaekawa T(2020)Robust Unsupervised Factory Activity Recognition with Body-worn Accelerometer Using Temporal Structure of Multiple Sensor Data MotifsProceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies10.1145/34118364:3(1-30)Online publication date: 4-Sep-2020
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https://dl.acm.org/doi/10.1145/3411828
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