Dynamic Topology Reconfigurationfor Energy Efficient Network

with Link Power Control: MiDORiYuki Nomura, Haruka Yonezu, Daisuke Ishii, Satoru Okamoto, and Naoaki YamanakaOpen and Environmental Systems, Graduate School of Science and Technology, Keio University,

3-14-1 Hiyoshi, Kohoku-ku, Yokohama, Japan,E-mail: nomura@yamanaka.ics.keio.ac.jp

Abstract—To improve the energy efficiency of networks, powerconsumption should be proportional to the utilization of thenetwork. We have proposed a concept which conducts trafficengineering in order to dynamically aggregate traffic on par-ticular links and turn off unused links. This paper shows thedemonstration results of the link power management by energyefficient network topology design with prototype Gigabit layer-2switches. In the result, power consumption adaptively changedaccording to amount of traffic, and when traffic load is low, itcan reduce of 23.8% of energy at maximum.

I. OVERVIWEW OF MIDORI NETWORK TECHNOLOGY

Recently, the power consumption of network resources suchas routers and switches are increasing rapidly. The worldwidepower consumption of Information and Communication Tech-nology (ICT) in 2020 is expected to double from 2008 [1].Therefore, the reduction of power consumption is an impor-tant issue, and we have proposed a concept which is called“MiDORi (Multi-(layer, path, and resources) DynamicallyOptimized Routing)” network technology [2-6].“MiDORi”achieves energy efficiency of networks by controlling of theequipment port module power and switching module power.To implement this power controlling, a MiDORi-path com-putation engine (MiDORi-PCE) conducts traffic engineering(TE) to dynamically aggregate path traffic on particular links.Figure 1 shows the proposed architecture which consists ofa management plane (M-plane), a control plane (C-plane),and a data plane (D-plane). The M-plane, which consistsof a MiDORi-PCE and a network manager (NM) measuresthe traffic volume of all label swiched paths (LSPs) tocalculate an energy efficient optimal topology [3]. The C-plane runs the MiDORi-GMPLS [5,6] which is in charge ofLSP setup/teardown as well as link power control based oncalculated topology results in the MiDORi-PCE. The D-planecan be consisted with equipments from various layers such aslayer-1 switches, layer-2 switches, and layer-3 routers, becauseGMPLS is capable of controlling multiple layers.In order to configure an energy optimal network, the fol-

lowing steps are repeated in the MiDORi network [2-4,6].1) The NM remotely measures the traffic of each LSP inall routers or switches and calculates the average trafficrate.

2) The MiDORi-PCE calclates the energy optimal LSProute and network topology [3] based on the trafficinformation.

3) The MiDORi-PCE informs the calculated LSP’s explicitroute to the LSP’s source node in the C-plane.

4) The MiDORi-GMPLS reconfigures (mod-ify/setup/teardown) each LSP and controls the powerof the port module and the switching module at eachcorresponding D-plane equipment.

Fig. 1. MiDORi network architecture.

II. IMPLEMENTATION AND PERFORMANCE EVALUATIONTo evaluate an energy optimal network, we constructed 4

node full mesh layer-2 network as shown in Fig. 2 and 3. Inthis network, D-plane nodes are newly developed prototypeGigabit layer-2 switches [4,6].Typical power consumption ofthe prototype layer-2 switch is 68.2 Wh. The layer-2 switchhas port module level power ON/OFF control capability whichsaves nearly 1.4 Wh per port and has VLAN traffic monitoringcapability. Furthermore, when all four ports in the switchingmodule are OFF, switch module power can be turned OFF.This saves nearly 18 Wh as shown in Fig. 4.In this system, power consumption is evaluated in the

condition where the amount of traffic changes to low, middle,

10SB0091 (C) 2012 IEICE

Fig. 2. The demonstration system.

Fig. 3. Topology of the demonstration system.

Fig. 4. Power consumption reduction by the off of the switching module.

or high volume dynamically. The layer-2 switch link capacityis 1 Gbps. The low-traffic is set to 20% of the link capacityper flow. Similarly, the middle-traffic and the high-traffic areset to 40% and 60% respectively.

Figure 5 shows the amount of power consumption by settingdifferent traffic loads. The average power consumption whenthe traffic load is high, is 259.2 Wh, middle is 249.5 Wh, andlow is 219.4 Wh. Maximum 23.8% of reduction is possiblewhen they compared minimum power consumption of the low-traffic case with maximum power consumption of the high-traffic case.

Fig. 5. The amount of power consumption.

III. CONCLUSIONIn late years the power consumption with the network e

becomes the problem. Therefore we have proposed “MiDORi”network technology. In this paper, we performed the exper-iment with 4 node networks and confirmed that the powerconsumption can be reduced up to 23.8% at maximum.

ACKNOWLEDGMENTSThis work is supported by the PREDICT program of the

Ministry of Internal Affairs and Communications (MIC) ofJapan. This work was also supported by the Japan Society forthe Promotion of Science’s (JSPS) Grant-in-aid for ScientificResearch (A) 22240004.

REFERENCES[1] M. Pickavet, et al, “Worldwide Energy Needs for ICT: the RISE of

Power-Aware Networking,” IEEE ANTS 2008, Dec. 2008.[2] N. Yamanaka, et al, “MiDORi: Energy efficient network based on op-

timizing network design tool, remote protocol and new layer-2 switch,”COIN2010, July 2010.

[3] H. Yonezu, et al, “QoS Aware Energy Optimal Network TopologyDesign and Dynamic Link Power Management,” ECOC2010, Sept.2010.

[4] H. Takeshita, et al, “Demonstration of the Self Organized Dynamic LinkPower Management by “MiDORi” Energy Optimal Network TopologyDesign Engine,” OFC2011, Los Angeles, USA, March 2011.

[5] S. Okamoto, “Requirements of GMPLS Extensions for EnergyEfficient Traffic Engineering,” draft-okamoto-ccamp-midori-gmpls-extension-reqs-00.txt (work in progress), June 2011.

[6] S. Okamoto, et al, “GMPLS-enabled, energy-efficient, self-organizednetwork: MiDORi,” ACP2011, Nov. 2011.