Dynamic Resource Operation and Power Model for IP-over-WSON Networks

Abstract

The power consumption of core networks is bound to grow considerably due to increasing traffic volumes. Network reconfiguration adapting resources to the load is a promising countermeasure. However, the benefit of this approach is hard to evaluate realistically since current network equipment does not support dynamic resource adaptation and power-saving features. In this paper, we derive a dynamic resource operation and power model for IP-over-WSON network devices based on static power consumption data from vendors and reasonable assumptions on the achievable scaling behavior. Our model allows to express the dynamic energy consumption as a function of active optical interfaces, line cards, chassis, and the amount of switched IP traffic. We finally apply the model in the evaluation of two network reconfiguration schemes.

Evaluation of a centralized method for one-step multi-layer network reconfiguration

“…In [15], we find that the scalable power share β of processing one circuit worth of packet traffic is significantly smaller. Including shares of line card and chassis power in the circuit cost, we obtain β = 4.3 · 10 −5 .…”

“…We disregard static energy consumption as well as contributions of tributary interfaces and add/drop traffic, since they are unaffected by reconfiguration. Due to its comparatively small power consumption [15], we likewise disregard the remaining optical equipment.…”

Playing Radio Resource Management Games in Dense Wireless 5G Networks

“…In general, the minimization of energy consumption has been considered in various scenarios, including cellular networks (e.g., where optimization among all access network [6,7], backhauling, and core networks [8,9] can be considered), other noncellular wireless networks (i.e., noncellular networks [10][11][12]), and wired networks (including optical networks [13][14][15]). Various solutions have been proposed, targeting different aspects of communications and networking, such as advanced radio resource and interference management enabling throughput enhancement or transmit power reduction (e.g., [16][17][18]), turning selected network nodes into sleep mode (e.g., base stations, optical modules [19][20][21]) depending on the traffic requirements, or energy-efficient routing (e.g., [22,23]).…”