Responsive, Energy-Proportional Networks (original) (raw)

2010

Abstract

ABSTRACT The power consumption of the Internet and datacenter networks is already significant due to a large degree of redundancy and high idle power consumption of network elements. Therefore, dynamically matching network resources to the load is highly desirable. However, this is difficult because the traffic changes quicker than it is possible to compute the minimal network subset to carry the traffic demand. We achieve responsiveness by decoupling the decisions taken by routing and online traffic engineering (TE), and propose Energy-Proportional Networks (EPN) -- networks which use the minimum amount of energy to carry the required traffic. EPN computes three sets of routing tables: i) always-on, ii) on-demand, and iii) failover. A simple energy-aware TE algorithm (in)activates network elements to achieve the goal of energy-proportionality. Our evaluation on ISP and datacenter topologies shows that EPN achieves the goal of energy-proportionality and saves up to 42% of power, without sacrificing responsiveness. Further, using a Click testbed we show that it is possible to: 1) quickly and efficiently use the EPN paths at runtime for energy-saving, 2) quickly tolerate faults. Finally, two representative applications running over EPN-chosen paths demonstrate EPN's marginal impact on application-level throughput and latency.

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