Cost evaluation of the integration of IP/MPLS and WDM elements R. - - PowerPoint PPT Presentation

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Cost evaluation of the integration of IP/MPLS and WDM elements R. - - PowerPoint PPT Presentation

Cost evaluation of the integration of IP/MPLS and WDM elements R. Duque, V. Lpez, A. Gonzlez, O. Gonzlez de Dios, J.P. Fernndez-Palacios 0 Telefnica Servicios Audiovisuales S.A. / Telefnica Espaa S.A. TELEFNICA I+D Ttulo de


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Telefónica Servicios Audiovisuales S.A. / Telefónica España S.A. Título de la ponencia / Otros datos de interés / 26-01-2010 TELEFÓNICA I+D

Cost evaluation of the integration

  • f IP/MPLS and WDM elements
  • R. Duque, V. López, A. González, O. González de

Dios, J.P. Fernández-Palacios

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1 Telefónica Servicios Audiovisuales S.A. / Telefónica España S.A. Título de la ponencia / Otros datos de interés / 26-01-2010 TELEFÓNICA I+D

Cost evaluation of the integration

  • f IP/MPLS and WDM elements
  • R. Duque, V. López, A. González, O. González de

Dios, J.P. Fernández-Palacios

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Outline

Introduction and motivation Scenario Definition Methodology Results Conclusions

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Introduction and motivation

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Motivation §

Some vendors are proposing the integration of coloured transponders in the IP cards reducing the cost of current separate solution.

§

This situation can lead to a single vendor scenario, which is not convenient for an operator.

§

This study assesses the CAPEX savings due to this integration.

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IP Router

ROADM

Grey Interface 2nd window Transponder (O/E/O conversion) Colored interface 3rd window

(a) Independent

IP Router with integrated transponder

ROADM

Colored interface 3rd window 3rd window

(b) Integrated

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Scenario definition

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Assumptions §

Spanish backbone network has 20 ML nodes and 10 ROADMs.

§

Initial total traffic matrix of 1.4 Tbps obtained from internal Telefónica data.

§

Traffic growth of 50% per year has been assumed.

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B3 B4 B9 B16 B22 B28 C6 C12 C8 C29 C24 C17 D4 D6 D14 D16 D20 D30 E8 E5 E15 E17 E28 E20 A4 A14 A28 A23 A9 A17

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Node Models

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Tx

Rx

Transponders IP/MPLS Chassis WDM Termninals λ1 λ1 OXC Tx

Rx

IP/MPLS

Chassis λ1 λ1

Tx

Rx Tx Rx

Tx

Rx

IP/MPLS Router Line Cards Transceiver SR Transceiver SR WDM Transponder

Transceiver LR

IP/MPLS Router Line Cards

Separate model Integrated model

OXC Tx

Rx

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Table 1. Relative cost of the components [5] Slots/ Ports Relative Cost IP/MPLS line cards 40GbE 10 35.98 IP/MPLS line cards 100GbE 4 40 IP/MPLS line cards 400GbE 1 37.48 IP single chassis 16 53.79 IP multi-chassis 32 285.92 WDM Transponder 40Gbps 1 6.4 WDM Transponder 100Gbps 1 16 WDM Transponder 400Gbps 1 20.2 WDM terminal (chassis) 40 3.4 Photonic Switch. WSS1x20 - TS 20 6 WSS9x9 - OC 9 48 WSS1x9 - LS 9 4 Amplification (Amp) 0.8

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Cost model §

Based on STRONGEST model:

Tx Rx

Chassis WDM Termninals λ1 λ1 OXC

Tx

Rx Tx Rx

IP/MPLS Router Line Cards (including FW card) Transceiver SR Transceiver SR WDM Transponder

Tx Rx

WSS WSS

Includes FW card and transceivers costs

OXC cost mainly depends

  • n number of WSSs

OXCcost = N·(2·WSS1x9 + 2·Amp) + 2·N·AD(20)·WSS1x20 + 2·WSS9x9

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Methodology

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Methodology

IP Routing IP cost evaluation IP equipment WSON RWA Transport cost evaluation Transport equipment IP/WSON adaptation Interlayer connections Optical demand Topology Demand Cost model IP chassis IP cards Transponders chassis WDM transponders OXC = f(WSS)

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Traffic routing

§

The traffic matrix is created based on the aggregation of the traffic in regional networks.

§

The traffic is routed over an already established IP topology. To request for lightpaths three algorithms are proposed:

  • Same capacity (sameC): assigns the required capacity with the same

granularity for all transport connections (40Gbps or 100Gbps).

  • Max capacity (maxC): maximizes the lightpaths utilization in terms of capacity.

If there are two traffic rates that maximize the lightpath utilization, this technique uses the highest bitrate to minimize the number of requested lambdas.

  • Min lambdas (minL): minimizes the total number of connections in order to
  • btain a transport demand as lower as possible.

§

As an example, for a 130 Gbps (assuming 10G, 40G and 100G interfaces):

  • SameC algorithm uses 4 lightpaths of 40Gbps or 2 lightpaths of 100Gbps
  • MaxC assigns 1 lambda of 100Gbps and 3 lambdas of 10Gbps
  • MinL reserves one lambda of 100Gbps and one of 40Gbps.

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Results

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Cost relation §

As the cost of an integrated card is uncertain a sweep is done to check the impact of this evolution.

  • CR=1 is assumed when two SR interfaces and a WDM transponder in the

separate node to the cost of an IP/MPLS card in the integrated model.

  • Let us remark that this starting point is a lower cost threshold, because we

are considering that integration would lead from the cost of an IP/MPLS card,

  • In order to find a less optimistic scenario, a cost relation of 1.15 and 1.3 (i.e.

a cost increment of 15% and 30%, respectively, with respect to CR=1) for the integrated cards are assumed.

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Relative network cost

§ Figure shows CapEx investment in the

core transport network for the two node models (relative units).

§ The separate node (dashed lines) is more

expensive than the integrated node (solid lines).

§ The algorithm that achieves the lowest

investment in network elements is the sameC 40-Gbit/s algorithm.

§ The reason is that the price per Gbit/s is

cheaper in the 40-Gbit/s technology than in the 100-Gbit/s or 400-Gbit/s technology.

§ The cost of the network with minL and

maxC algorithms lie within the envelope

  • f the sameC 40-Gbit/s and 400-Gbit/s

curves.

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CAPEX savings §

Algorithms which achieve the greatest savings are sameC 100-Gbit/s and sameC 40- Gbit/s algorithms.

§

However, sameC 100-Gbit/s is more expensive than sameC 40-Gbit/s

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5 10 15 20 5 10 15 20 25 30 35

Traffic [Tbps] CapEx savings [%] Cost relation = 1

5 10 15 20 5 10 15 20 25 30

Traffic [Tbps] CapEx savings [%] Cost relation = 1.15 sameC 40G sameC 100G sameC 400G maxC minL

5 10 15 20 5 10 15 20 25 30

Traffic [Tbps] CapEx savings [%] Cost relation = 1.3

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Incremental cost analysis §

The sameC 40-Gbit/s algorithm is used since it achieves the best results.

§

The proposed integration could lead to cost savings around 40% for CR=1 and 35% for CR=1.3 for a traffic matrix of 16.2 Tbps (i.e. year 7 in our analysis).

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SEP. SEP. SEP. SEP. SEP. INT. INT. INT. INT. INT.

SEP. SEP. SEP. SEP. SEP. INT. INT. INT. INT. INT.

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Conclusions

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Conclusions §

The integration of colored transponders in the IP cards could lead to CapEx reduction up to 40% if such integrated transponders have a similar price (or, at most, a 30% increase) than separated components.

§

This study does not consider other cost related to the integration, such as organizational changes or multi-layer control plane coordination which are mandatory for this evolution.

§

Finally, let us remark that these integrated transponders must be interoperable at the optical domain in multi-vendor scenario to motivate its deployment.

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