Energy management in communication networks: a journey through modeling and optimization glasses.

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Title: Energy management in communication networks: a journey through modeling and optimization glasses.
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 luca-giovanni.gianoli@polymtl.ca, Sansò, B.3 brunilde.sanso@polymtl.ca
Source: Computer Communications. Oct2016, Vol. 91, p76-94. 19p.
Subjects: Energy management, Telecommunication, Mathematical optimization, Information & communication technologies, Energy consumption
Abstract: The widespread proliferation of Internet and wireless applications has produced a significant increase of ICT energy footprint. As a response, in the last years, significant efforts have been undertaken to include energy-awareness into network management. Several green networking frameworks consisting in carefully managing the network routing and the power state of network devices have been proposed. Even though the approaches differ on the technologies and sleep modes adopted, they all aim at tailoring the active network resources to the varying traffic needs in order to minimize energy consumption. From a modeling standpoint, this has several commonalities with classical network design and routing problems, even if with different objectives and in a dynamic context. While most research has focused on crucial technological aspects of the green networking schemes, there has been little attention so far on the understanding of the modeling similarities and differences of the proposed solutions. This paper fills the gap by surveying the literature on wired networks energy management with optimization modeling glasses. It follows a tutorial approach that guides through the different components of the models with a unified symbolism. A detailed classification of previous work based on the included modeling issues is also proposed. [ABSTRACT FROM AUTHOR]
Copyright of Computer Communications 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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DbLabel: Engineering Source
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  Data: <searchLink fieldCode="JN" term="%22Computer+Communications%22">Computer Communications</searchLink>. Oct2016, Vol. 91, p76-94. 19p.
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  Data: <searchLink fieldCode="DE" term="%22Energy+management%22">Energy management</searchLink><br /><searchLink fieldCode="DE" term="%22Telecommunication%22">Telecommunication</searchLink><br /><searchLink fieldCode="DE" term="%22Mathematical+optimization%22">Mathematical optimization</searchLink><br /><searchLink fieldCode="DE" term="%22Information+%26+communication+technologies%22">Information & communication technologies</searchLink><br /><searchLink fieldCode="DE" term="%22Energy+consumption%22">Energy consumption</searchLink>
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  Data: The widespread proliferation of Internet and wireless applications has produced a significant increase of ICT energy footprint. As a response, in the last years, significant efforts have been undertaken to include energy-awareness into network management. Several green networking frameworks consisting in carefully managing the network routing and the power state of network devices have been proposed. Even though the approaches differ on the technologies and sleep modes adopted, they all aim at tailoring the active network resources to the varying traffic needs in order to minimize energy consumption. From a modeling standpoint, this has several commonalities with classical network design and routing problems, even if with different objectives and in a dynamic context. While most research has focused on crucial technological aspects of the green networking schemes, there has been little attention so far on the understanding of the modeling similarities and differences of the proposed solutions. This paper fills the gap by surveying the literature on wired networks energy management with optimization modeling glasses. It follows a tutorial approach that guides through the different components of the models with a unified symbolism. A detailed classification of previous work based on the included modeling issues is also proposed. [ABSTRACT FROM AUTHOR]
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  Data: <i>Copyright of Computer Communications 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.comcom.2016.05.009
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      – Code: eng
        Text: English
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        PageCount: 19
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      – SubjectFull: Energy management
        Type: general
      – SubjectFull: Telecommunication
        Type: general
      – SubjectFull: Mathematical optimization
        Type: general
      – SubjectFull: Information & communication technologies
        Type: general
      – SubjectFull: Energy consumption
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              Text: Oct2016
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