Okonor et al 2015a - Revision history

Scipediacontent at 22:41, 1 February 2021

2021-02-01T22:41:46Z

Scipediacontent at 14:16, 21 January 2021

2021-01-21T14:16:16Z

Scipediacontent: Scipediacontent moved page Draft Content 987163144 to Okonor et al 2015a

2020-10-14T10:45:30Z

Scipediacontent moved page Draft Content 987163144 to Okonor et al 2015a

Scipediacontent: Created page with " == Abstract == Part 1: Autonomic and Decentralized Management International audience Energy efficiency has become a major research topic in the Internet community as a res..."

2020-10-14T10:45:28Z

Created page with " == Abstract == Part 1: Autonomic and Decentralized Management International audience Energy efficiency has become a major research topic in the Internet community as a res..."

New page

== Abstract ==

Part 1: Autonomic and Decentralized Management International audience Energy efficiency has become a major research topic in the Internet community as a result of unprecedented rise in the Information and Communication Technology (ICT) sector. One typical approach towards energy efficiency is to select a subset of IP routers or interfaces that will go to sleep mode during the off-peak period. However, on-the-fly network reconfiguration is generally deemed harmful especially to real time packets due to routing re-convergence. In this paper, we develop an efficient algorithm for achieving energy efficiency which is disruption free. The objective is to incrementally wake up sleeping links upon the detection of increased traffic demand. Unlike normal approaches of manipulating link weights or reverting to full topology in case of even minor network congestion and thereby sacrificing energy savings, our algorithm wakes up the minimum number of sleeping links to the network in order to handle this dynamicity. The performance of our algorithm was evaluated using the GEANT network topology and its traffic traces over a period of one week. According to our simulation results, up to almost 47% energy gains can be achieved without any obstruction to the network performance. Secondly, we show that the activation of a small number of sleeping links is still sufficient to cope with the observed traffic surge.

Document type: Part of book or chapter of book

== Full document ==
<pdf>Media:Draft_Content_987163144-beopen47-6862-document.pdf</pdf>

== Original document ==

The different versions of the original document can be found in:

* [https://hal.archives-ouvertes.fr/hal-01410128/file/978-3-319-20034-7_1_Chapter.pdf https://hal.archives-ouvertes.fr/hal-01410128/file/978-3-319-20034-7_1_Chapter.pdf] under the license cc-by

← Older revision		Revision as of 22:41, 1 February 2021
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	== Full document ==		== Full document ==
−	<pdf>Media:Okonor_et_al_2015a-~~beopen730~~-~~4296~~-document.pdf</pdf>	+	<pdf>Media:Okonor_et_al_2015a-beopen3099-1097-document.pdf</pdf>

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 == Abstract ==
-Part 1: Autonomic and Decentralized Management  International audience  Energy efficiency has become a major research topic in the Internet community as a result of unprecedented rise in the Information and Communication Technology (ICT) sector. One typical approach towards energy efficiency is to select a subset of IP routers or interfaces that will go to sleep mode during the off-peak period. However, on-the-fly network reconfiguration is generally deemed harmful especially to real time packets due to routing re-convergence. In this paper, we develop an efficient algorithm for achieving energy efficiency which is disruption free. The objective is to incrementally wake up sleeping links upon the detection of increased traffic demand. Unlike normal approaches of manipulating link weights or reverting to full topology in case of even minor network congestion and thereby sacrificing energy savings, our algorithm wakes up the minimum number of sleeping links to the network in order to handle this dynamicity. The performance of our algorithm was evaluated using the GEANT network topology and its traffic traces over a period of one week. According to our simulation results, up to almost 47% energy gains can be achieved without any obstruction to the network performance. Secondly, we show that the activation of a small number of sleeping links is still sufficient to cope with the observed traffic surge.
+Part 1: Autonomic and Decentralized Management; International audience; Energy efficiency has become a major research topic in the Internet community as a result of unprecedented rise in the Information and Communication Technology (ICT) sector. One typical approach towards energy efficiency is to select a subset of IP routers or interfaces that will go to sleep mode during the off-peak period. However, on-the-fly network reconfiguration is generally deemed harmful especially to real time packets due to routing re-convergence. In this paper, we develop an efficient algorithm for achieving energy efficiency which is disruption free. The objective is to incrementally wake up sleeping links upon the detection of increased traffic demand. Unlike normal approaches of manipulating link weights or reverting to full topology in case of even minor network congestion and thereby sacrificing energy savings, our algorithm wakes up the minimum number of sleeping links to the network in order to handle this dynamicity. The performance of our algorithm was evaluated using the GEANT network topology and its traffic traces over a period of one week. According to our simulation results, up to almost 47% energy gains can be achieved without any obstruction to the network performance. Secondly, we show that the activation of a small number of sleeping links is still sufficient to cope with the observed traffic surge.
 Document type: Part of book or chapter of book
 == Full document ==
-<pdf>Media:Draft_Content_987163144-beopen47-6862-document.pdf</pdf>
+<pdf>Media:Okonor_et_al_2015a-beopen730-4296-document.pdf</pdf>
@@ Line 14: / Line 14: @@
 The different versions of the original document can be found in:
-* [https://hal.archives-ouvertes.fr/hal-01410128/file/978-3-319-20034-7_1_Chapter.pdf https://hal.archives-ouvertes.fr/hal-01410128/file/978-3-319-20034-7_1_Chapter.pdf] under the license cc-by
+* [https://hal.archives-ouvertes.fr/hal-01410128/file/978-3-319-20034-7_1_Chapter.pdf https://hal.archives-ouvertes.fr/hal-01410128/file/978-3-319-20034-7_1_Chapter.pdf] under the license https://creativecommons.org/licenses/by

← Older revision	Revision as of 10:45, 14 October 2020
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