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On the energy cost of robustness and resiliency in IP networks.

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Title: On the energy cost of robustness and resiliency in IP networks.
Authors: Addis, B.1 bernardetta.addis@loria.fr, Capone, A.2 capone@elet.polimi.it, Carello, G.2 giuliana.carello@polimi.it, Gianoli, L.G.2,3 gianoli@elet.polimi.it, Sansò, B.3 brunilde.sanso@polymtl.ca
Source: Computer Networks. Dec2014 Part A, Vol. 75, p239-259. 21p.
Subjects: IP networks, Energy consumption, Robust control, Computer network management, Traffic engineering, Quality of service
Abstract: Despite the growing concern for the energy consumption of the Internet, green strategies for network and traffic management cannot undermine Quality of Service (QoS) and network survivability. In particular, two very important issues that may be affected by green networking techniques are resilience to node and link failures, and robustness to traffic variations. In this paper, we study how achieving different levels of resiliency and robustness impacts the network energy-aware efficiency. We propose novel optimization models to minimize the energy consumption of IP networks that explicitly guarantee network survivability to failures and robustness to traffic variations. Energy consumption is reduced by putting in sleep mode idle line cards and nodes according to traffic variations in different periods of the day. To guarantee network survivability we consider two different schemes, dedicated and shared protection, which assign a backup path to each traffic demand and some spare capacity on the links along the path. Robustness to traffic variations is provided by tuning the capacity margin on active links in order to accommodate load variations of different magnitude. Furthermore, we impose some inter-period constraints to guarantee network stability and preserve device lifetime. Both exact and heuristic methods are proposed. Experimentations carried out on realistic networks operated with flow-based routing protocols (like MPLS) allow us to quantitatively analyze the trade-off between energy cost and level of protection and robustness. Results show that significant savings, up to 30%, may be achieved even when both survivability and robustness are fully guaranteed, both with exact and heuristic approaches. [ABSTRACT FROM AUTHOR]
Copyright of Computer Networks is the property of Elsevier B.V. and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
Database: Engineering Source
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Header DbId: egs
DbLabel: Engineering Source
An: 99737490
AccessLevel: 6
PubType: Academic Journal
PubTypeId: academicJournal
PreciseRelevancyScore: 0
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  Data: On the energy cost of robustness and resiliency in IP networks.
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  Data: <searchLink fieldCode="AR" term="%22Addis%2C+B%2E%22">Addis, B.</searchLink><relatesTo>1</relatesTo><i> bernardetta.addis@loria.fr</i><br /><searchLink fieldCode="AR" term="%22Capone%2C+A%2E%22">Capone, A.</searchLink><relatesTo>2</relatesTo><i> capone@elet.polimi.it</i><br /><searchLink fieldCode="AR" term="%22Carello%2C+G%2E%22">Carello, G.</searchLink><relatesTo>2</relatesTo><i> giuliana.carello@polimi.it</i><br /><searchLink fieldCode="AR" term="%22Gianoli%2C+L%2EG%2E%22">Gianoli, L.G.</searchLink><relatesTo>2,3</relatesTo><i> gianoli@elet.polimi.it</i><br /><searchLink fieldCode="AR" term="%22Sansò%2C+B%2E%22">Sansò, B.</searchLink><relatesTo>3</relatesTo><i> brunilde.sanso@polymtl.ca</i>
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  Data: <searchLink fieldCode="JN" term="%22Computer+Networks%22">Computer Networks</searchLink>. Dec2014 Part A, Vol. 75, p239-259. 21p.
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  Data: <searchLink fieldCode="DE" term="%22IP+networks%22">IP networks</searchLink><br /><searchLink fieldCode="DE" term="%22Energy+consumption%22">Energy consumption</searchLink><br /><searchLink fieldCode="DE" term="%22Robust+control%22">Robust control</searchLink><br /><searchLink fieldCode="DE" term="%22Computer+network+management%22">Computer network management</searchLink><br /><searchLink fieldCode="DE" term="%22Traffic+engineering%22">Traffic engineering</searchLink><br /><searchLink fieldCode="DE" term="%22Quality+of+service%22">Quality of service</searchLink>
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  Data: Despite the growing concern for the energy consumption of the Internet, green strategies for network and traffic management cannot undermine Quality of Service (QoS) and network survivability. In particular, two very important issues that may be affected by green networking techniques are resilience to node and link failures, and robustness to traffic variations. In this paper, we study how achieving different levels of resiliency and robustness impacts the network energy-aware efficiency. We propose novel optimization models to minimize the energy consumption of IP networks that explicitly guarantee network survivability to failures and robustness to traffic variations. Energy consumption is reduced by putting in sleep mode idle line cards and nodes according to traffic variations in different periods of the day. To guarantee network survivability we consider two different schemes, dedicated and shared protection, which assign a backup path to each traffic demand and some spare capacity on the links along the path. Robustness to traffic variations is provided by tuning the capacity margin on active links in order to accommodate load variations of different magnitude. Furthermore, we impose some inter-period constraints to guarantee network stability and preserve device lifetime. Both exact and heuristic methods are proposed. Experimentations carried out on realistic networks operated with flow-based routing protocols (like MPLS) allow us to quantitatively analyze the trade-off between energy cost and level of protection and robustness. Results show that significant savings, up to 30%, may be achieved even when both survivability and robustness are fully guaranteed, both with exact and heuristic approaches. [ABSTRACT FROM AUTHOR]
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  Data: <i>Copyright of Computer Networks is the property of Elsevier B.V. and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
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        Value: 10.1016/j.comnet.2014.10.004
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        Text: English
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        PageCount: 21
        StartPage: 239
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      – SubjectFull: Robust control
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              Text: Dec2014 Part A
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