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Details per activity (4) A 2.3: Technico-economic studies: status

Details per activity (4) A 2.3: Technico-economic studies: status. Aim of the study: find a viable optical network architecture for traffic aggregation in metro networks Preliminary contributions to D15 on feeder networks:

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Details per activity (4) A 2.3: Technico-economic studies: status

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  1. Details per activity (4) A 2.3: Technico-economic studies:status • Aim of the study: find a viable optical network architecture for traffic aggregation in metro networks • Preliminary contributions to D15 on feeder networks: • Definition in relation with hierarchical network structure given in D6 (2.1) • Mapping of applications to transport services (2.3) • Network technology (3.1) • Proposal for CAPEX model • Re-use basis of cost modeling in IST DAVID, with partitioning of big equipment categories and cost weights… other models were adopted afterwards, need to interact with partners these models to comment with respect to our first intentions. • Begin to develop an excel file for dimensioning of the feeder region, focusing on the issue of backhauling of DSLAM traffic • No “NOBEL network” scenario fixed yet, or at least need for some rough Data (number of nodes in the feeder region, number of users, type of service per user, …) • We used some internal data, but for confidentiality issues, we adapted them for an application to NOBEL. • First results available on Milan case NOBEL WP2 Oct 2004 1

  2. A 2.3: Technico-economic studies:feeder network definition • Between metro-core and access • Area characteristics: • 10’s of km2 • Pop. Density: from 5000/km2 (Very Dense Urban Area) to 500/km2 (suburds) • 1 (Very Dense Urban Area) to 8 (suburds) remote nodes • “hub & spoke” traffic topology NOBEL WP2 Oct 2004 2

  3. A 2.3: Technico-economic studies:feeder network technology • Currently: • SONET/SDH rings with STM-1 or STM-4 ADMs connected to an IP service router as hub node. • Alternative: • L3/L2 approach with Pt2Pt GE transmission between each DSLAM and an Ethernet Switch as hub node. • The Ethernet switch includes some L3 processing for interconnection with the metro-core and service handling • RPR transport technology (packet ADMs) between the DSLAMs and the IP service router. • Future solution • Integrated Optical Ethernet, with relying on a shared Passive optical Transport network NOBEL WP2 Oct 2004 3

  4. ……………….. Services description and bandwidth demand NOBEL WP2 Oct 2004 4

  5. Macro Services description: TV focused • 3-Play services over the DSLAMs infrastructure • Video Broadcasted: • 200 channels x 2Mbps = 400Mbps (e.g. different bouquets form different VSP could bring the same channel to be broadcasted two time in the network) • Pay-per-view: 10 channels x 2Mbps = 20Mbps • NVoD: 12 movies x 6 channels (each movie broadcast every 15 min.) x 2Mbps = 144 Mbps Total BW for Broadcast TV = 564 Mbps • VoD: 2Mbps per circuit/subs • Penetration ratio of 2% in 2004 to 7.2 % in 2008 • 52 movies /year/subs (one per week-end /subs) • 15% of subs require the service during BH NOBEL WP2 Oct 2004 5

  6. Macro Services description: PC focused + VoIP • 3-Play services over the DSLAMs infrastructure • Broadband internet high speed (HSI) (residential) • Type 1: • Penet. Ratio: 10% in 2004 to 35% in 2008 • 20MByte of traffic in BH (Up + Down): 44.4Kbps during BH/subs • 300 busy days per year • 30% of traffic in BH • Type 2: • Penet. Ratio: 5% in 2004 to 22% in 2008 • 45MByte of traffic in BH (Up + Down): 100Kbps during BH/subs • 300 busy days per year • 30% of traffic in BH • VoIP • 10% migration from fixed voice service • Same 4900 MoU /year/subs: 2.86Kbps (up+down) during BH • 20% of traffic in BH NOBEL WP2 Oct 2004 6

  7. Traffic Characteristic per Service • Video Broadcast: • 564Mbps down, continuous Bandwith (BW), 0Mbps up • Per Residential customer, during BH: • VoD: 2 Mbps down, continuous BW (streaming), ~ 0Mbps up • per DSLAM: * # of Active subs * 15% of competing demands • VoIP: 1.43Kbps Up/ 1.43 Kbps Down, constant BW, 10% # of Active subs • HSItype 1: ¼ ratio for Up/Down traffic • 8.88Kbps up, 35.52Kbps down, 2 types of Bursty traffic • Access PCR US/DS: 128/640 Kbps: B = 18.01 (B = PCR/MCR) ( • Access PCR US/DS: 256/1280 Kbps: B = 36 (TI today: Alice Mega) • Per DSLAM: * # of Active subs • HSItype 2: ¼ ratio for Up/down traffic • 80Kbps down, 20Kbps up, 2 types of Bursty traffic • Access PCR US/DS: 256/1280 Kbps: B = 16 • Access PCR US/DS: 512/3000 Kbps: B = 38 • Per DSLAM: * # of Active subs • Assumption: uniform distribution of active subs among DSLAMs per service • # of active customers per DSLAM = # of potential subs per DSLAM * service penetration ratio NOBEL WP2 Oct 2004 7

  8. General considerations on traffic model Unicast HSI traffic • Each DSLAM integrates a first stage of statistical multiplexing • Dimensioning of course not done by the summing the peak (access) rate of individual customers • However, knowing the burstiness of customer sources, dimensioning can’t neither be done on the mean rate of customers • The Equivalent bandwidth model gives an approximation of the aggregated customer traffic, taking into account the source burstiness Eq. BW =  mean rates + cst * , where  is the standard variation of the aggregated flow • Two main parameters in the aggregation statistics: • The individual source burstiness: • the higher burstiness, the higher the ratio between the Eq. Bw and the same mean traffic • The number of sources • the higher # of sources, the lower the ratio between the Eq. Bw and the same mean traffic NOBEL WP2 Oct 2004 8

  9. Traffic types considered in the study • Unicast HSI traffic: • Ratio Mean rate/Eq Bw for an aggregated traffic vs. # of subscribers • Sharing of resources between more customers enables to decrease the required BW • Even more important when the source burstiness increased • Sharing enables the creation a big “virtual DSLAM” allowing the sharing of downstream resources between more customers, over-passing the geographical reach limitation of a single physical DSLAM NOBEL WP2 Oct 2004 9

  10. Status • architecture applied to the Milan Wide Area Metro Area • Modeling of the area to identify the typical number of Ma nodes (ie DSLAM here) distribution with respect to Mc nodes, and the potential number of subscribers per node • logical dimensioning of the solution on -going, using 3-Play traffic assumptions (Broadcast TV, VoD, VoIP, BB IP access) • Calculations can take assumptions on ILEC and CLEC market shares • Next: • Finish logical dimensioning • Benchmark the DBORN solution wrt: • SDH A/D with packet grooming at edges and hub only • Stacked RPR rings • Pure Ethernet MAN w/ pt-2-pt connexions between each Ma node and a Mc node • Optical A/D nodes • Cost modelling (CAPEX) … NOBEL WP2 Oct 2004 10

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