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Discussing the digital transformation of every part of the network with nfv sdn v1.0
This document discusses the digital transformation of telecommunication networks through new technologies like NFV/SDN. It covers several topics: 1. The evolution of networks from 4G to 4.5G to 5G and the transition to virtualized platforms. 2. Scenarios driving network transformation like the internet of things and tactile internet that will require networks to support higher data rates, lower latency, and more connections. 3. The challenges of planning networks to support new technologies and services while balancing costs and optimizing resources.
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Discussing the digital transformation of every part of the network with nfv sdn v1.0
- 1. Discussing the digitaltransformation of every part of the network with NFV/SDN Planning the transition from 4G to 4.5G to 5G in RAN, core, platforms AUgUst 28th – 29Th 2018 Diretoria de Estratégia, Tecnologia e Arquitetura de Rede Ger. Estratégia e Arquitetura de Rede Alberto Boaventura SDN NFV & Network Transformation Latin America
- 2. Telecommunication Industry Scenarios:Evolution Waves Internet Mobile Internet Internet of Things Tactile Internet Transformation Enabled global communications; New form of entertainment; Communication cheaper; Communications everywhere; Reachability of users and services; Smartphone: becoming the main device for access to content; Smartphones => Beginning of Digital Transformation; Potentialized the use of Social Networks; It will revolutionize all industrial segments through electronic integration and transaction, improving and optimizing its production processes; New innovation platform, inaugurating a new economic moment; Experience not only audiovisual, but full immersion; They will help users (humanity) in complementing the perception of the world by bringing more information through sophisticated applications of Augmented Reality and Artificial Reality; Market Voice traffic superior to data; Voice is the most important service; Non-Real-Time Applications Fixed broadband growth is 42% (CAGR) against 22% for mobile accesses; Fixed Broadband> 64 kbps; Default ADSL.1 = 1-8 Mbps Growth of fixed broadband is 8% (CAGR) against 33% for mobile broadband; The number of MBB exceeds that of FBB in 2013; Data traffic already outperforms voice traffic. Data becomes more the most important service; In the next decade will be some tens of billions of connected objects Explosion of connected objects; Services with low latency and security have another relevance; The 5G is promising with: expectation of 1 billion subscribers in less than 5 years of operation; above 10 trillion in revenue over the same period; Latency becomes more relevant than the rate for tactile Internet services; Technology World wide web Dial Up xDSL Packet switching and TCP / IP WAP EDGE, HSPA / HSPA + and LTE / LTE-A Android Video streaming and sharing Social networks Global Roaming Access LPWA, SigFox, LoRA, LTE-M Computing in the Cloud; Cognitive computing; Big Data, Analytics, Machine Learning, AI Blockchain Low latency systems: SDN / NFV; Fog Computing Quantum Computing Quantum Internet; 2020201020001990
- 3. Not all servicescan be supported by the existing network Enhanced Mobile Broadband Massive Machine Type Ultra-Reliable & Low Latency Smart Cities Smart Homes Building 3D vídeo, UHD, Virtual Reality Augmented Reality Industry Automation Self Driving Car Connected Cars Remote Surgery Source: GSMA 2017 Services planned for the next decade will have new requirements that are difficult for existing networks to offer: peak rates greater than 10x; average rates 100x higher; 10x lower latency; number of connections 100x higher among other aspects.
- 4. Next Generation MobileNetwork (NGMN) 5G Vision USE CASES BUSINESS MODEL VALUE CREATION Asset Provider Connectivity Provider Partner Service Provider XaaS; IaaS; NaaS; PaaS Network Sharing Basic Connectivity Enhanced Connectivity Operator Offer Enriched by Partner Parter Offer Enriched by Operator Broadband Access in Dense Areas Broadband Access Everywhere Higher User Mobility Massive Internet of Things Extreme Real-Time Communications Lifeline Communications Ultra-reliable Communications Broadcast-like Services HIGH RELIABLE AND FLEXIBLE NETWORK SERVICEEXPERIENCETRUST Security Identity Privacy RealTime Seamless Personalized Interaction& Charging QoS Context “5G is an end-to-end ecosystem to enable a fully mobile and connected society. It empowers value creation towards customers and partners, through existing and emerging use cases, delivered with consistent experience, and enabled by sustainable business models” Requirements Attribute 3GPP Release 12 NGMN Requiremnents Data rate per user Up to 100 Mbps on average Peaks of 600 Mbps (Cat11/12) > 10 X expected on average and peak rates > 100 X expected on cell edge End-toend latency 10 ms for two-way RAN (pre- scheduled) Typically up to 50 ms e2e I > 10X (smaller) Mobility Functional up to 350 km/h No support for civil aviation > 1,5 X Spectral Efficiency DL: 0,074-6,1 bps/Hz UL: 0.07-4.3 bps/Hz Pushing for substantial increase Connection Density 2000 Active Users/km2 > 100 X
- 5. Network Evolution Challenges Technology ITUProgram IMT 2000 IMT Advanced IMT2020 Service Voice+Multimedia Voice+Internet Broadband+Video Ultra-broadband Internet of Everything Throughput per Sector 1 Mbps 10 Mbps 150 Mbps 1 Gbps 10 Gbps Data Traffic <66 PB/Month 240 PB/Month 5300 PB/Month 37600 PB/Month Connections Accesses = 500 millions Access= 1 billion Broadband= Accesses= 5 billions Broadband= 0,8 Bilhão Accesses = 10 billions Broadband= 3,5 billions Accesses >30 billons Broadband= 7,7 Billions Carrier 5 MHz 10 MHz 20 MHz 100 MHz >100 MHz IMT Spectrum WARC92 e WRC00 = 749 MHz WRC07=+428 MHz 1177 MHz WRC15= + 709 MHz 1886 MHz WRC19 = + 10 GHz (?) Site Density 1 site /km2 5 sites/km2 50 sites/km2 100 sites/km2 >100 sites/km2 Backhaul Capability 2 Mbps 20 Mbps BH: 200 Mbps FH: 9 Gbps BH: 2 Gbps FH: > 9 Gbps ? Latency 500 ms 100 ms 10 ms 10 ms <1 ms World (Brasil) 2000(2008) 2005(2008) 2010(2013) 2015 (2017) 2018 (??) Requirements
- 6. Network Planning Challenges Multipletechnologies and costs; Service, technology and spectrum balancing; Device subsidy; Spectrum refarming; Lifecycle Management Digital Transformation The network as an innovation platform Adjacent Industries Open Ecosystem Revenue and recurring service partnerships Application-driven development of products and services through crowdsourcing Agile and non-linear processes for decision making Two-hour and two-month development processes Beta testing with live clients Customer Experience & Vision Customer Centric Vision Individualized view of the customer experience and its services - not just the network; Preventive and non-reactive action in network management and services; Service Assurance TCO Optimization & Reduction Revenue and Traffic decoupling Centralization with consolidation of functions; IP and Optical Transport networks consolidation; Self-Organized Networks; Automation; New Technology; New algorithms, multiplexing, modulation and access technologies; Increased Spectral Efficiency; Diversity & Combination of Resources (MIMO, CA, Cable bonding); Interference Control; Capacity & Resource Management Flexible, Standardized & Open Architecture ; More Capacity; More Elasticity, Resiliency & Granularity; Low latency; Self Organized; Service and Network State Awareness; Network Slicing; Architecture Evolution
- 7. Capacity & ResourceManagement Low bands have good indoor penetration but small bandwidth for broadband applications .. SPECTRUM DILEMMA 90 MHz 150 MHz 200 MHz 500 MHz 13 GHz 700 MHz 1800 MHz 3500 MHz 5800 MHz (LTE-U) mmWave Better Propagatiom HigherBandwidth Amount of Bandwidth Source: Mobile Experts 2018 1x 2x 3x 4x 5x 6x 1x 2x 3x 4x 5x 6x Cost per Gbps Costperkm2 LTE(Cat.3) LTE(Cat.4) CA(Cat6) CA+MIMO 4x4 TribandCA TribandCA+ 256QAM TribandCA+ 256QAM+ MIMO4x4 Quadriband CA+MIMO 4x4 5xCA+ MIMO4x4 100 Mbps 150 Mbps 300 Mbps 500 Mbps 450 Mbps 600 Mbps 950 Mbps 950 Mbps > 1 Gbps Addoption limmit to 5G (> 1 Gbps) SMALLCELL FOR HIGH DENSITY TRAFFIC MMWAVE VS MID BANDS TECHNOLOGICAL COMBINATION TO GBPS Source: Mobile Experts 2018 This 0.002 GkM threshold represents when SmallCells are more affordable than the macro network
- 8. Capacity & ResourceManagement BBU CPRI OBSAI ETSI ORI Data Control Sync RRU/ RRH BBU N BBU 2 BBU 1 CRAN 246 Mbps 1200 Mbps 2500 Mbps 9830 Mbps WCDMA (1 Carrier) LTE (MIMO 2x2, 10 MHz) LTE (MIMO 2x2, 20 MHz) WCDMA + LTE Combination of huge number of Smallcells with fiber premises for connectivity will bring an important concern for 5G infrastructure. CRAN requires a tighter latency requirement for interefrence control (e-ICIC and CoMP) - In general IP backhaul transport cannot accomplish this latency level in X2 interface. CRAN unfolds complexity of capillarity for access trasportation; mmWave has a benefit to provide a very high capacity but a short range coverage. Thus, multiplying the number of Smallcells .
- 9. TCO Optimization &Reduction ● Simplification of IP hierarchies by providing a more "flat" network; ● Integrated planning of IP and Transmission networks; ● Service virtualization, network optimization, and on-demand allocation; ● Time-to-market agility; ● Programmability, service automation and speed of provisioning; ● Reduction of Network Costs (CAPEX and OPEX), with the reduction of the number of routers, spare- parts, support contract, management license etc. ● Data Plane Control Plane Separation, vendor-independent unified control; ● Reduction of Engineering sites, main sites in the SDN-NFV model, Telco-Datacenters; ● Integration of IP core and TX (OTN + DWDM), full-mesh core (minimize latency and router interfaces), SDN-WAN multilayer; Typical Multilayer Node ● Superchannel DWDM (400G / 1T) in the short and medium term, single-carriers grouped with more spectral efficiency. ● Same modulation of 100G, optimizes costs and covers the same distance (span). ‘’ALL-IP” TO SDN-NFV: MULTI-LAYER INTEGRATION MORE CAPACITY => DATACENTER INTERCONECTION Arquitetura Alvo
- 10. Lifecycle Management Source: Baseadon EY 2015 Very Fast Technology Lifecycle Minimum Deployment or not Deployed YetPartial DeploymentTotal Deployment Carrier Ethernet 2.0IP-MPLS Ethernet G.FAST, XG.FASTADSL VDSL, VDSL2 DOCSIS3.1CCAPDOCSIS2.0 DOCSIS 3.0 802,11 ax Li-FiWi-Fi 802.11ac/adWi-Fi 802.11 a/b/g Wi-Fi 802.11n LTE-M LTE-U 5GLTE-AUMTS HSPA LTEMobile Wi-Fi Cable Drop Cable Backbone 2005 2010 2015 2020 XG(S)-PON+, FOASGPON XG-PONPON NG-PON2, TWDM (?) 400 GbE, 200GbE10GbE 40GbE, 100GbEEthernet EON, HOS, multilayer SDNSDH over WDM OTN DWDM ROADM, ODU SwOptical ONAP LSOSDN OpenFlow OpenSwitch, Open Daylight ONOSSDN NFV eCPRI/NGFIATM, NGSDH, Metro PTNBackhaul & Fronthaul CPRI/DWDM MECHW Dedicado COTSHW NFV Bonding, Vectoring, World
- 11. Lifecycle Management Optimization ofTotal Costs: Voice: 2G => 3G and Data: 3G => 4G bring significant savings in terms of total network costs; Service balancing should take into account not only the network cost but the best use of an expensive and scarce resource: spectrum; Phaseout Management: Today the mobile network has 3 access technologies (2G / 3G / 4G) that need to be realized: management, planning, deployment, O & M, etc. multiplying operating costs (OpEx) and investments (CapEx); Some operators have already announced the end of either the 2G network or the 3G network aiming not only to simplify and reduce operating costs, but also to re-use spectrum; User Experience: Churn is still the biggest challenge for operators, mainly due to the costs associated with acquiring new users in a consolidated market. The negative perception of services due to poor user experience is the main reason for the cancellation and / or change of service provider. Asset Management: Technology evolution takes better advantage of features and brings a general improvement in overall user experience. It also optimizes long-term investments and spectrum. Technology and life cycle management is not simple, but it is one of the most important tools for network strategic planning and even for tactical and operational planning. New Technology Device Penetration Subsidy Cost Network Total Cost p1 (Real) p2 (Otim.) Network & Device Costs c1 c2 Cost Reduction Subsidy 2G 3G 4G = 3X Tax (TFI/TFF) O&M Energy Colocation Transmission Spare parts Optimization Complexity... t t+t- throughput u(t) u(t+) u(t-) u”(t) <0 Utility=QoE When to Evolve vs When to Expand (the legacy)
- 12. Digital Transformation andNew Environment Challenges Strategy Technology-centric Customer-centric Telecoms only Adjacent industries Partner network and walled gardens Open ecosystem Transaction-based revenues and partnerships Recurring services revenues and partnerships Source: Based on “How CSPs Buy Technology” - Ovum 2017 Communication Service Providers Digital Service Providers Technology Stove-piped architecture and proprietary standards Flexible and adaptive architecture and open standards Integration strategy defined by network engineers Open ecosystem Technical product development controlled by CSP App-driven product and service development through crowdsourcing Processes Waterfall (rigid and linear) processes and decision-making Agile and nonlinear processes and decision-making Two-year development processes Five-nines specification Two-hour and two-month development processes Five-nines specification Beta testing with live customers People Network performance metrics and MTTR Focus on business impact and CSAT Accountability but no influence Closed-loop process to address VoC Customer-focused behavior not incentivized Employees incentivized to improve customer engagement
- 13. Digital Transformation inTelecommunication Industry Source: World Economic Forum 2017 : Digital Transformation Initiative Telecommunications Industry Digital transformation in telecommunications could unlock more than $2 trillion in value for the industry, consumers and wider society over the next decade. ● Accordingly with WEF 2017, SDN & NFV plays the central role of Digital Transformation of Operator Network ● These technologies promise several important benefits: SDN by separating the control and data layers; and NFV by replacing complex network functions with easy-to- manipulate virtualized software. ● Widespread adoption of these technologies will be driven primarily by network cost reduction – 64% of operators rated this as the main adoption trigger in a recent survey. ● It is estimated that SDN and NFV could generate savings of 25% to 75% of overall operator operating expenditure thanks to significantly reduced provisioning, monitoring and hardware costs. ● These technologies also promise to create value for customers through flexible services, faster times to market and improved user experiences. ● The ability to view and manipulate network functions on demand, and at a granular level, will catalyse service innovation and allow stronger collaborations between customers and providers.
- 14. NETWORK FUNCTION VIRTUALIZATION ArchitectureEvolution SDN applications SDN controllers Network Resources Programmatic control of abstracted network resources (application- control interface) Logically centralized control of network resources (resource- control interface) Source: ITU-T Y.3300 Acceleration of innovation: Accelerates business and/or technical innovation through more flexibility of the network operations, thus making trials easier; Accelerated adaptation to customer demands: Dynamic negotiation of network service characteristics and of dynamic network resource control; Improved resource availability : Improves network resource availability and efficiency, Service-aware networking: Allows network customization for the network services which have different requirements, through the programming of network resource operations, including the dynamic enforcement of a set of policies. Hardware Resources Virtualized Network Functions (VNFs) Virtualization Layer VNF ... NFVManagementand Orchestration Compute Storage Network NFV Infrastructure Virtual Compute Virtual Storage Virtual Network VNF VNF VNF CapEx: Reduces equipment costs by consolidation, leveraging the economies of scale; OpEx: Reduces power consumption, space and collocation costs, improved network monitoring. O&M: Improves operational efficiency by taking advantage of a homogeneous physical platform Deployment: Easily, rapidly, dynamically provision and instantiate new services in various locations (i.e. no need for new equipment install) Time to market: Minimizing a typical network operator cycle of innovation. Service differentiation: Rapidly prototype and test new services Source: ETSI NFV+SDN => MOBILE NETWORK SDN can enable, simplify and automate NFV implementation Mobile Network Simplification: Common functions optimized for RAN , EPC and transport . Traffic Optimization : Network status awareness allows to optimize traffic by observing e2e congestion level, system capacity and element capabilities. Resilience: SDN provides greater visibility at the network level, regardless of whether the network concept is Layer 2, Layer 3 or even Layer 4. Power Management: Power consumption of wireless network elements can be optimized in real-time. Spectrum and Interference Management: Opens a new range of interference mitigation and spectrum optimization techniques at the network level. SDN applications SDN controllers Network ResourcesHardware Resources Virtualized Network Functions (VNFs) Virtualization Layer VNF ... NFVManagementand Orchestration Compute Storage Network NFV Infrastructure Virtual Compute Virtual Storage Virtual Network VNF VNF VNF SOFTWARE DEFINED NETWORK Why NFV & SDN?
- 15. Service Control Legacy Services Adaptation and Access Transport: Backbone, Backhaul, Fronthaul Application OSSOSS OSS OSS PU PU PC PC PU PC OSS PU PC OSS PC OSS PC OSS E2EManagement&Orchestration OpenAPIs Source: NGMN/2015 Bibilioteca das Funções de Redes Modulares & Habilitadores de Rede Repositório de Informações Comuns de Rede CP Funções UP Funções RAT Config State Info Operator Services Enterprise Vertical OTT & 3rd. Party Casos de Uso, Modelos de Neócio e Proposição de Valor Dynamic; Scalable; Reusable; Automatic Operation; Aware and Cognitive; Cloudified, Open and Optimized TOMORROW: VIRTUALIZED AND CENTRALIZED BASED ARCHITETCURE Architecture Evolution Fixed; Unaware; Manual; Monolithic; Vendor and Silo based TODAY: TOPOLOGY BASED NETWORK ARCHITETCURE CetralizedandVirtualizedFunctions
- 16. Architetcture Evolution E2E SERVICEORCHESTRATIONCONSOLIDATION AND FEDERALIZATIONEMBRYO FOR TELCO DATACENTERVIRTUALIZED NETWORKS VERTICALLY • New projects with virtualization support: what can be virtualized already be specified; • Control plan, IMS, Platforms, OSS, etc. • Elect a project to serve as embryo for the Telco Datacenter: Orchestration of virtualized environment, Orchestration of services; etc; • VNF solutions characterized and provided by a network function SLA via VNF descriptors with a common information model (Catalog); OSS VNF Instancies VNF1 Virtual Compute Virtualization Layer Compute HW Virtualized Compute HW VNFn Virtual Compute Virtualization Layer Compute HW ... Simplified Evolution Strategy Plan OSS NFV Orchestrator of Orchestrators NFV Orchestrator VNF Instancies NFVI Virtual Resources Virtualization Layer HW VNF1 VNF2 ... VNFn VNF Managers VNF ManagersVNFM VNF Managers VNF ManagersVIM • Consolidate and federalize virtualized projects; • Stratify the Telco Datacenter infra: HW, Hypervisor, Cloud, VNFs; • Horizontal Scalability. The network expands and contracts in real time, • It can reuse or add HW or SW independently to increase capacity; OSS NFV Orchestrator of Orchestrators NFV Orchestrator VNF Instancies NFVI Virtual Resources Virtualization Layer HW VNF1 VNF2 ... VNFn VNF Managers VNF ManagersVNFM VNF Managers VNF ManagersVIM HW OSS NFVO NFVO VNF Instancies NFVI Virtual Resources Virtualization Layer HW VNF1 VNF2 ... VNFn VNF Managers VNF ManagersVNFM VNF Managers VNF ManagersVIM HW Network Services SDN SDN C 1 • Expand and Migrate Legacy Services; • End-to-End Orchestration; • Integrated end-to-end network vision that enables applications and services to efficiently utilize network resources, including datacenter resource optimization and traffic engineering;
- 17. Archiecture Evolution TCO ReductionNew Revenue Performance Issues Technology maturity Integration & Transformation Challenges Scalability vCPE 45% ● ○ ● ○ ● vRAN 9% ○ ● ◒ ● ○ vEPC 46% ● ◒ ● ○ ● vCDN 31% ◒ ○ ○ ○ ○ vBRAS 30% ◒ ● ◒ ○ ○ vSTB - ◒ ◒ ◒ ◒ ◒ vRAN vSTB vBRAS vOLT vCDN vEPC vCPE IMS, OSS Platforms Migrartion TransformationComplexity Souce: SDx Central & Netmanias 2017 What becoming first? The migration of the network functions will be dependent on an economic analysis, observing the costs and values practiced; This analysis should take into account: opportunities to reduce total costs (CapEx and VP OpEx) between expanding the legacy or migrating to the new virtualized platform; new revenues associated with new infrastructure; scalability; maturity; technological life cycle; integration / transformation complexities;
- 18. 5G NEWTORK SLICING NGPC(CP) V2X NGPC (UP) V2X NGPC (UP) Cache NGPC (CP) NGPC (CP) NGPC (UP) Verticals Backhaul Fronthaul HW Poll Virtual. Layer IMS Orch.Man. OCS OFCS PCF UDM AMF SMF BBU1 UPF Midhaul BBU1 ... 5G NGPC HW Poll Virtual. Layer BBU1 ... Orch.Man, BBU2 BBUn Backhaul Fronthaul S1-U S1-AP HW Poll Virtual. Layer IMS Orch.Man. OCS OFCS PCRF HLR/HSS MME S-GW P-GW S-GW (UP) P-GW (UP)S11 CUPS HW Poll Virtual. Layer BBU1 ... Orch.Man, BBU2 BBUn Mobile Network Evolution Backhaul PCRF HLR/HSS OCS/ OFCS S-GW P-GW MME IMS Ro/Rf S11 S5 GxRx S6a Gy/Gz Sy Cx/Sh S1-US1-AP Sp BBU BBU BBU HW Poll Virtual. Layer BBU1 ... Orch.Man, BBU2 BBUn Backhaul Fronthaul P-GW S-GW S1-U S1-AP HW Poll Virtual. Layer IMS Orch.Man. OCS OFCS PCRF HLR/HSS MME S5 C-RAND-RAN
- 19. Virtualization: in theCenter vs in the Edge TOPOLOGY: DISTRIBUTED OR CENTRALIZED FUNCTIONS SBI/Fronthaul NBI/Internet Hardware Poll Virtualization Layer BBU1 ... O&M/Orchestrator BBU2 BBUn EPC Cache SBI/Fronthaul NBI/Internet Hardware Poll Virtualization LayerBBU1 ... O&M/Orchestrator BBU2 BBUn EPC IMS MTAS SBI/Fronthaul NBI/Internet Hardware Poll Virtualization Layer BBU1 ... O&M/Orchestrator BBU2 BBUn EPC Cache Traffic Density Growth Core&controlfunctions At Edge At Center Some core Entity Functions are naturally centralized, such as HSS, PCRF, IMS, OCS; but others are preferable on edge: CRAN, PGW; Interference Mitigation. Algorithms such as e-ICIC and CoMP have tighter latency requirement below 10 micro seconds; Cache implementation needed to be on the edge; Local breakaout; MEC – MOBILE EDGE COMPUTING (MULTIPLE ACCESS EDGE COMPUTING) Defined by ETSI (GS MEC 003) and align with NFV, it brings the cloud closer to the network edge. It provides services to enhance application with context information to benefit from running near the edge.
- 20. Network vs Servicevs Customer Centric CUSTOMER CENTRIC OSSSERVICE CENTRIC OSSNETWORK CENTRIC OSS Hardware Resources Virtualized Network Functions Virtualization Layer vBBU(CRAN) Orchestration (SON,CEMetc.) NFV Infrastructure MME HSS IMS vBBU(CRAN) SGW,PGW PCRF OCS,OFCS ... RRU Macro Layer SmallCell Layer Fronthaul IP RRURRU RRU RRU HeNB HeNB Macro Layer SmallCell Layer eNB HeNB HeNBEMS EMS PCRF HLR/HSS OCS/ OFCS S-GW P-GW MMEIMS EMS OSS (X2) Backhaul IP RRU Macro Layer SmallCell Layer EMS PCRF HLR/HSS OCS/ OFCS S-GW P-GW MMEIMS EMS OSS Fronthaul IP RRURRU RRU BBU Hotel SON CEM South/East Bound Interface BBU BBU ... BBU Fault Management Performance Management Configuration Management Troubleshooting Service Quality Management Service Level Agreement Quality of Service Network Analytics Self Organized Network E2e Network status awareness and Customer Experience tools allows to optimize radio access and core network resources by network and user perspectives. Enhanced Analytics: Deeplearning, Predictions Quality of Experience Automation
- 21. What we aredoing Multidisciplinary team composed by over 100 persons from 8 areas what goals is to carry out network evolution guidelines and recommendations (Plano Técnico de Virtualização) from monolithic physical entities to virtual entities/ functionalities based on NFV/ SDN solutions, using as a tool the consistent evaluation between: current network status at Oi (assessment); operating model; world best practices; technological availability and maturity. • Topology Definition • Definition of Rules for the Sizing of HW & SW • Cost Estimation • CapEx Model and Study • Asset and Life Cycle Management (HW and SW) Planning • Maturity Map • Definition of Requirements • Architecture Definition • Definition of Phases and Roadmap • Identification and Prioritization of use cases • Validation tests • Homologation / Certification Technology • Migration Strategy & Path • Identification of Network Functions and When • Definition of migration needs: security, addressing plan, • Migration and Evolution • Definition of the new operation model; • Definition of management models: FM, PM, CM, troubleshooting, O & M, OSS / MANO, SW / HW update etc. • Definition of KPIs for telco datacenter; • Definition of resource needs and training for capacity building; Operation • Definition of infrastructure requirements: Energy, Arcon, static load etc .; • Definition of rules for telco datacenter location; • Survey of adequacy costs; • Roadmap definition Deployment • Definition of new areas and competences; • Definition of new processes; Governance & Management 1+6 Subgroups Grupo Técnico de Virtualização (Virtualization Technical Team)
- 22. What we aredoing Chap 0 – Introduction Chap 1 - Emergency Actions for 2017 Chap 2 - Technology Guidelines Chap 3 - Evolution and Migration Guidelines Chap 4 - Planning 2018-2020 Chap 5 - Deployment Guidelines Chap 6 - Operation Chap 7 - Management and Governance Considerations Chap 8 - Appendixes Chap 9 - Participants Contents Plano de Virtualização (Vitualization Plan) 2018-2020)
- 23.