We propose a framework to manage the link lifetime in an IP backbone network by exploiting the sleep mode (SM). In particular, when an SM feature is available, two different effects coexist: 1) during the SM state, the lifetime tends to be increased and 2) however, when the link changes its power state (from SM to full power or vice-versa), the lifetime tends to be decreased. We, therefore, define an optimal formulation of the lifetime-aware network problem. Moreover, we propose a heuristic, called Acceleration Factor Algorithm, to practically manage the device lifetime. We solve the problem both optimally and with our heuristic, considering two representative case studies. Results show that our approach outperforms the previous energy-aware algorithms, which instead do not consider the lifetime decrease triggered by the power state change. Thus, we argue that a lifetime-aware network management should be pursued when deciding to set an SM state for each device in an Internet Service Provider network.

Lifetime-aware ISP networks. Optimal formulation and solutions / Chiaraviglio, Luca; Amorosi, Lavinia; Dell'Olmo, Paolo; Liu, William; Gutierrez, Jairo A.; Cianfrani, Antonio; Polverini, Marco; Le Rouzic, Esther; Listanti, Marco. - In: IEEE-ACM TRANSACTIONS ON NETWORKING. - ISSN 1063-6692. - ELETTRONICO. - 25:3(2017), pp. 1924-1937. [10.1109/TNET.2017.2665782]

Lifetime-aware ISP networks. Optimal formulation and solutions

AMOROSI, LAVINIA;DELL'OLMO, Paolo;CIANFRANI, Antonio;POLVERINI, MARCO;LISTANTI, Marco
2017

Abstract

We propose a framework to manage the link lifetime in an IP backbone network by exploiting the sleep mode (SM). In particular, when an SM feature is available, two different effects coexist: 1) during the SM state, the lifetime tends to be increased and 2) however, when the link changes its power state (from SM to full power or vice-versa), the lifetime tends to be decreased. We, therefore, define an optimal formulation of the lifetime-aware network problem. Moreover, we propose a heuristic, called Acceleration Factor Algorithm, to practically manage the device lifetime. We solve the problem both optimally and with our heuristic, considering two representative case studies. Results show that our approach outperforms the previous energy-aware algorithms, which instead do not consider the lifetime decrease triggered by the power state change. Thus, we argue that a lifetime-aware network management should be pursued when deciding to set an SM state for each device in an Internet Service Provider network.
Software; computer science applications1707 computer vision and pattern recognition; computer networks and communications; electrical and electronic engineering
01 Pubblicazione su rivista::01a Articolo in rivista
Lifetime-aware ISP networks. Optimal formulation and solutions / Chiaraviglio, Luca; Amorosi, Lavinia; Dell'Olmo, Paolo; Liu, William; Gutierrez, Jairo A.; Cianfrani, Antonio; Polverini, Marco; Le Rouzic, Esther; Listanti, Marco. - In: IEEE-ACM TRANSACTIONS ON NETWORKING. - ISSN 1063-6692. - ELETTRONICO. - 25:3(2017), pp. 1924-1937. [10.1109/TNET.2017.2665782]
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11573/953617
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