We focus on a distributed multi-stage software router (MSSR) architecture internally composed by several personal computers (PCs) to overcome scalability and performance issues of software routers (SRs) based on a single PC. Sizing the internal architecture to sustain the peak load may lead to power inefficiency at low loads. This paper presents a power saving scheme to improve the power efficiency of the MSSR by dynamically adapting the size of its internal architecture to the offered load to reduce power needs. The off-line problem is defined as a mixed integer linear programming optimization model, shown to be NP-hard. We propose a differential on-line heuristic to solve the optimization problem when the traffic load changes. The heuristic avoids the complete MSSR reconfiguration of the optimal off-line solution that may lead to forwarding delay increase or service interruption. The performance evaluation shows that the proposed on-line algorithm, that gracefully modifies the internal MSSR configuration, preserves the load proportional power demand characteristics of the optimal offline solution.

On-line power savings in a distributed multi-stage router architecture / Bianco, Andrea; Debele, FIKRU GETACHEW; Giraudo, Luca. - STAMPA. - (2012), pp. 2535-2540. ((Intervento presentato al convegno IEEE GLOBECOM tenutosi a Anaheim, USA nel December 2012 [10.1109/GLOCOM.2012.6503498].

On-line power savings in a distributed multi-stage router architecture

BIANCO, ANDREA;DEBELE, FIKRU GETACHEW;GIRAUDO, LUCA
2012

Abstract

We focus on a distributed multi-stage software router (MSSR) architecture internally composed by several personal computers (PCs) to overcome scalability and performance issues of software routers (SRs) based on a single PC. Sizing the internal architecture to sustain the peak load may lead to power inefficiency at low loads. This paper presents a power saving scheme to improve the power efficiency of the MSSR by dynamically adapting the size of its internal architecture to the offered load to reduce power needs. The off-line problem is defined as a mixed integer linear programming optimization model, shown to be NP-hard. We propose a differential on-line heuristic to solve the optimization problem when the traffic load changes. The heuristic avoids the complete MSSR reconfiguration of the optimal off-line solution that may lead to forwarding delay increase or service interruption. The performance evaluation shows that the proposed on-line algorithm, that gracefully modifies the internal MSSR configuration, preserves the load proportional power demand characteristics of the optimal offline solution.
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Utilizza questo identificativo per citare o creare un link a questo documento: http://hdl.handle.net/11583/2513795
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