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WP A 2.3 status Stockholm September 2004. Jan Derkacz derkacz@kt.agh.edu.pl. Main objectives - reminder. T o find efficient network solutions and evaluate their economic viability considering both CAPEX and OPEX advanced network planning techniques
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WP A 2.3statusStockholm September 2004 Jan Derkacz derkacz@kt.agh.edu.pl
Main objectives - reminder • To find efficient network solutions and evaluate their economic viability considering both CAPEX and OPEX • advanced network planning techniques • performance and costs of core and metro optical network solutions proposed in NOBEL • migration scenarios
A 2.3 status – work areas Methodology Market segments Services/Applications/Mapping Adv. Net. Planning Ref. Netw. Models andmigration scenarios Nobel Cost Model Case studiesCost/perfevaluations
D15 – status • 1. Nobel methodology for network planning and techno-economic analysis • 1.1 Network planning techniques in order to support strategic decisions (IMEC) • 1.2 Methodology for techno-economic analysis (Telenor)
D15 – status • 2. Reference applications • 2.1.1 The feeder market segment (ACIT) • 2.3 Rules for mapping applications to transport services – a framework (Telenor) • 2.4 Definition and evaluation of charging models for transport services (IMEC, T-Systems) • 3. Current network models and migration scenarios
D15 – status • 4. Definition of Nobel cost model • 4.1 CAPEX model (AGH, TILAB) • 4.2 OPEX model (IMEC) • 5. Network planning dimensioning and optimisation • 6. Cost and performance evaluations • 7. Conclusions and guidelines to other WPs
D15 – main objectives and approach • How cost effectively deliver existing and new application using existing and emerging technologies • Which technology (NEs) to choose • How most effectively respond to changing demand • How effectively migrate from one business case to another • Approach • Planning schemes • Business processing modelling • Consider realistic case studies based on predefined requirements
D15 – open issues • Extend and scope of the deliverable • Overlaping: D12 – „Market segments”, „charging” • Structure of the document • 2.1 Market segments - • 5. Network planning • 5.2 Optimal placing of grooming nodes • 6. • 6.4 Influence of selected cost/weights on the utilisation and incomes of the operator • Annex (Appendix) content • Additional contributions ? • ‘QoS vs cost’ (Jurgen – Siemens) • ‘Business processes’ (Sandrine – Siemens) • Work organisation • Editorial groups for each chapter? • ‘Hard/soft’ space limitation for (sub)chapters?
1. Nobel methodology for (strategic/advanced) network planning and techno-economic analysis [Telenor/IMEC] • 2. Reference applications[ACIT,AIP] • 3. Current network models and migration scenarios [TID,AIP] • 4. Definition of Nobel cost model [AGH] • 5. Network planning dimensioning and optimisation [BUTE/Ericsson-H] • 6. Cost and performance evaluations [AGH,.. • 7. Conclusions and guidelines to other WPs [AGH]
D15 - timetable • Agree on the final version of the D15 content (1 week) • Cost model (evaluation criteria) • 2nd release of CAPEX model [AGH] – 1 week • Comments from partners – 2 weeks • ‘Stable’ version – 3 weeks • Network/service/application scenarios • Based on WP1 feed + WP2 own – 2 weeks • Case studies – assumptions • General assumptions 1st release – 2 weeks • Specification of key fitures/parameters of interest – 3 weeks • Network planning dimensioning and optimisation – background/approach – 2 weeks? • Cost/performance evaluations – October • Conclusions/guidelines - November
After D15 • D15 – „Preliminary report...” • Further studies • Revenue vs cost estimations • Studies focused on most promising scenarios • Sensitivity analysis ctd • Updates to results presented to D15 based on results from other WPs • Impact of key economical parameters (eg interest rates) • Risk evaluation • Market shares • ...
Case studies • Demographics/client characteristics • Service specification • Topology/fibre plant/resilience • Technology selection • Equipment characteristics
Case studies Demographics/client characteristics • Coverage – location • Typical customer profile (business/residential) • Number and classification of customers • BW requirements, port density, etc.
Case studies Service specification • Services/applications per customer type • Bundling (?) • Customer service levels (availability, latency, MTBF, MTTR, etc)
Case studies Topology/fibre plant/resilience • Type and number of fibers/w-lgts • UPSR/BLSR • Availability of fiber conduits
Case studies Technology selection • SDH, GbEth, IP, ... • Security of customer traffic (traffic isolation in VPN) • Technology scalability (eg VLANs tagging)
Case studies Equipment characteristics • Scalability of the equipment • BW scalability • Port density • Modularity • Employment of hot-swapable cards
Case studies – requirements evaluation • BW estimation • Unidirectional and Bidirectional traffic estimation • Oversubscription factor • Perfomance evaluation • Delay (serialisation and propagation) • Redundancy and reliability
Case studies – network extentions in time • Port/BW growth
Case studies – SAN • Distance limitations
Definition • Possible different changes in the network, from initial network to destination one, based on elaborate set of requirements like minimal CAPEX cost, maximal number of users, or percentage of penetration of network operator. This migration will take into consideration technical aspect as well as services’, economical and users’ aspects.
Migration scenario methodology • Main aims and assumptions • The main aim is to define short, medium and long term migration scenario for a network operator, from present network state • Initial assumptions: definition of a set of main network and service features that are an subject of evolution • After assuming initial network/service scenarios and contexts, definition of variables, values and possible evolution paths will be estimated
Migration scenario methodology - variables • Service and context related • Number of customers • Location of customers and main nodes • Changes in traffic granularity • ... • Technological and functional • Technologies used in the network • Number and types of nodes used in the network • Changes in functionality of the nodes • Protection, restoration schemes in network
Migration scenario methodology – valuation criteria • Parameters for optimisation • Start-up cost and marginal cost • Availability of the network (entire network and selected domains) • Average and peek utilisation of the links • Level of user’s satisfaction
Migration scenario methodology Our approach and assumptions Data analysis from NOBEL partners Case study Other WP inputs • A few adaptation paths for optimal core/metro network • Suggested changes to links capacity and throughput
Migration scenario questionnaire – examples (with answers) • Which techniques are implemented in carrier’s network ? • DWDM, SDH, ATM, Ethernet, VoIP, MPLS, other • What kind of interfaces to subscriber do carrier’s network support ? • E3, ADSL, HDSL, 1GbBaseT, 10GBaseF, STM-x, ATM, other • What is the assumed priority of introducing broadband X service ? • Very relevant, relevant, lightly relevant, not relevant • What are the annual expenditures (per customer) on administration and maintenance ? • Up to X $, between X $-Y $, over Y $
Migration scenario questionnaire – examples (open answers) • What are expectations/estimations of users characteristics (number, mobility/churn, services requirements) • Total number of interconnection nodes in carrier’s network: • What time perspective covers strategic plan of development in carrier’s network ? • What is the time schedule for successive physical and functional network’s changes
Migration scenario – current state • Already started modeling • Identifying parameters impacting the migration paths • A list of requirements to other WP was released • Next step – case studies and analysis of initial network scenarios • Next step – preparing the form of questionnaire