In this paper, we investigate the problem of managing the lifetime in backbone networks by imposing sleep mode (SM) states to network devices. When a device enters a SM, its lifetime is increased. However, the transition between SM and full power tends to reduce the lifetime. We study this tradeoff by evaluating an energy-aware algorithm which manages the link power states in backbone networks. More in-depth, we exploit the different topologies and different time granularities for applying the SM decisions, showing that both aspects impact on the network lifetime performance. In particular, the network lifetime is not merely a function of hardware failure rate and SMs parameters, but it is also a network-wide activity that has to be carefully managed. The extensive simulation studies have confirmed that the underlying topological characteristic is one of the sensitive factors significantly

Lifetime-aware networks. It is not what you know but who you know / Chiaraviglio, Luca; Listanti, Marco; Gutierrez, Jairo A.; Liu, William. - ELETTRONICO. - (2015), pp. 137-140. (Intervento presentato al convegno IEEE Global Conference on Signal and Information Processing, GlobalSIP 2015 tenutosi a usa nel 2015) [10.1109/GlobalSIP.2015.7418172].

Lifetime-aware networks. It is not what you know but who you know

CHIARAVIGLIO, LUCA;LISTANTI, Marco;
2015

Abstract

In this paper, we investigate the problem of managing the lifetime in backbone networks by imposing sleep mode (SM) states to network devices. When a device enters a SM, its lifetime is increased. However, the transition between SM and full power tends to reduce the lifetime. We study this tradeoff by evaluating an energy-aware algorithm which manages the link power states in backbone networks. More in-depth, we exploit the different topologies and different time granularities for applying the SM decisions, showing that both aspects impact on the network lifetime performance. In particular, the network lifetime is not merely a function of hardware failure rate and SMs parameters, but it is also a network-wide activity that has to be carefully managed. The extensive simulation studies have confirmed that the underlying topological characteristic is one of the sensitive factors significantly
2015
IEEE Global Conference on Signal and Information Processing, GlobalSIP 2015
Information systems; signal processing; green networks
04 Pubblicazione in atti di convegno::04b Atto di convegno in volume
Lifetime-aware networks. It is not what you know but who you know / Chiaraviglio, Luca; Listanti, Marco; Gutierrez, Jairo A.; Liu, William. - ELETTRONICO. - (2015), pp. 137-140. (Intervento presentato al convegno IEEE Global Conference on Signal and Information Processing, GlobalSIP 2015 tenutosi a usa nel 2015) [10.1109/GlobalSIP.2015.7418172].
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11573/878023
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