Linear programming approaches for power savings in software-defined networks

Abstract

Abstract-Software-defined networks have been proposed as a viable solution to decrease the power consumption of the networking component in data center networks. Still the question remains on which scheduling algorithms are most suited to achieve this goal. We propose 4 different linear programming approaches that schedule requested traffic flows on SDN switches according to different objectives. Depending on pre-defined software quality requirements such as delay and performance, a single variation or a combination of variations can be selected to optimize the power saving and the performance metrics. Our simulation results demonstrate that all our algorithm variations outperform the shortest path scheduling algorithm, our baseline on power savings, less or more strongly depending on the power model chosen. We show that in FatTree networks, where switches can save up to 60% of power in sleeping mode, we can achieve 15% minimum improvement assuming a one-to-one traffic scenario. Two of our algorithm variations privilege performance over power saving and still provide around 45% of the maximum achievable savings.

An Online Power-Aware Routing in SDN with Congestion-Avoidance Traffic Reallocation

“…Other approaches about power efficiency in software defined data center networks are presented in [10], [11]. The authors of [10] simultaneously optimize the power saving and the network performance, according to a pre-defined combination of quality requirements.…”

“…Other approaches about power efficiency in software defined data center networks are presented in [10], [11]. The authors of [10] simultaneously optimize the power saving and the network performance, according to a pre-defined combination of quality requirements. In [11] different energy-aware routing strategies, combining common routing and scheduling algorithms, are evaluated and implemented as a OpenNaaS-based prototype.…”

A Multi-Objective Routing Strategy for QoS and Energy Awareness in Software-Defined Networks

“…Although energy-aware routing has been extensively treated, few works in SDN take QoS into consideration. For instance, the existing trade-off between energy consumption and QoSrelated parameters is discussed in the approach presented in [4]. This work simultaneously optimizes the power saving and the network performance in software defined data center networks, according to a pre-defined combination of quality requirements.…”

A domain model for self-adaptive software systems

“…• The simultaneous achievement of quality requirements might be di cult because of con icts among them. For example, improving energy e ciency is not always aligned with improvements on performance [1]. The challenge is to make the optimum trade-o between those quality requirements.…”