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© 2016 TM Forum | 1 Maximizing Profitability with NFV Orchestration Catalyst Project.

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Presentation on theme: "© 2016 TM Forum | 1 Maximizing Profitability with NFV Orchestration Catalyst Project."— Presentation transcript:

1 © 2016 TM Forum | 1 Maximizing Profitability with NFV Orchestration Catalyst Project

2 © 2016 TM Forum | 2 Collaboration Champion: Participants:

3 © 2016 TM Forum | 3 NFV Brings New Levels of Flexibility and Optimization Collect Cost drivers Technical metrics Analyze Model the options Optimize Act Move Re-deploy Scale … Creates an opportunity to consider both QoE/QoS & financial optimization Project leverages analytics and policies that dynamically determine orchestration decisions to make more well-rounded NFV instantiations We show a closed-loop system from mediation, monitoring, optimization analytics through policy-driven instantiation and restoral considering QoE/QoS and financial metrics Goal is to optimize business value dynamically © 2016 TM Forum | 3

4 © 2016 TM Forum | 4 Multi-dimensional Optimization is Key Optimization Policies Global clauses Financial clauses Service clauses Customer clauses Cost Drivers Compute Storage Network Power/Location Technical Metrics QoS CPU Memory Network bandwidth Business Impacts QoE SLA violations Services Operations Policies account for these diverse set of objectives to drive optimization decisions Optimize against a wide range of financial and technical objectives Decisions are geared toward attaining a level of business agility not possible before © 2016 TM Forum | 4

5 © 2016 TM Forum | 5 Emerging Service Provider Ecosystem Landscape  Offer network/cloud/applications by multiple businesses as one-stop service to service providers. ‒ Expand B2B2X services provided by diverse industries and diverse players. ‒ Enable batch operation/maintenance for service providers.  Improve efficiency of operation tasks to operate/maintain services w/ Hybrid network. 他社 network 既存 network Service providers (corporate/individual) NTT Group Services IoT/M2M Olympics/Paralympics B2B proposals Disaster prevention Network Server/applications SecurityBig data Collaboration functions/automatic optimization Common APIs Network Servers/applications Company's own cloud Compute Storage Database Existing network Other companies' cloud services Other companies’ networks Other companies’ networks NFV SDN LTE/5G LPWA network Optical access Public Wi-Fi Network Servers/applications Network Integrated Control Based on DSRA Integrated Policy Management

6 © 2016 TM Forum | 6 User Stories Designing policies that optimize financial and QoE/QoS performance Dynamically collecting the most relevant metrics Automatically evaluating risk of optimization options Dynamically orchestrating where to run virtual network functions © 2016 TM Forum | 6

7 © 2016 TM Forum | 7 Use Case: Adaptive Network Slicing in 5G Networks Network slice for automotive services Network slice for gaming services 5G VNF Transport 5G Core Cloud RAN/T Data Platform Financial Analytics Policy-Driven Orchestration Optimization Catalog Network slice for video services SDN TM Forum Metrics/APIs RAN/T e.g., service requests from 3PP SP CFS RFS Smartphones, IoT, MTC Dynamic network slice allocations Service requests and financials/data analyses drive network slice updates such as: Resizing functions across network stages Offloading to alternative radio access networks and/or technologies © 2016 TM Forum | 7

8 © 2016 TM Forum | 8 Use Case: Adaptive Network Slicing in 5G Networks Business Policy Enablement Network & Cloud Monitoring QoE+Financial Optimization Policy-Driven Orchestration Financial & technical policy specifications Complex decision support Leverage and extend TM Forum standards

9 © 2016 TM Forum | 9 Use Case: Adaptive Network Slicing in 5G Networks Business Policy Enablement Network & Cloud Monitoring QoE+Financial Optimization Policy-Driven Orchestration Orchestrated network & service monitoring Slice centric: Transport Performance Service Performance Customer QoExperience Real-time KPI stream

10 © 2016 TM Forum | 10 Use Case: Adaptive Network Slicing in 5G Networks Business Policy Enablement Network & Cloud Monitoring QoE+Financial Optimization Policy-Driven Orchestration Policy-driven financials monitoring & alerting Network/Cloud services performance dashboard and analysis at multiple hierarchies On-demand power, computation, storage statistics at any time scale

11 © 2016 TM Forum | 11 Use Case: Adaptive Network Slicing in 5G Networks Business Policy Enablement Network & Cloud Monitoring QoE+Financial Optimization Policy-Driven Orchestration

12 © 2016 TM Forum | 12 Use Case: Adaptive Network Slicing in 5G Networks Business Policy Enablement Network & Cloud Monitoring QoE+Financial Optimization Policy-Driven Orchestration Joint network and data center optimization Live network status updates & policy- driven close the optimization loop Flexible models support predictive capacity management

13 © 2016 TM Forum | 13 Use Case: Adaptive Network Slicing in 5G Networks Business Policy Enablement Network & Cloud Monitoring QoE+Financial Optimization Policy-Driven Orchestration Network slice optimization Live cloud status updates & policy- driven close the optimization loop Agile cost modeling supports business planning

14 © 2016 TM Forum | 14 Use Case: Adaptive Network Slicing in 5G Networks Business Policy Enablement Network & Cloud Monitoring QoE+Financial Optimization Policy-Driven Orchestration Enables business policies to be factored in operations process flow-through Streamlines the balance between technical & financial considerations in VNF orchestration Maintains a logically centralized programmable policy repository for physical and virtual infrastructure

15 © 2016 TM Forum | 15 Architecture & Processes Network+Cloud Monitoring Network+Cloud Monitoring CoE+Profits Optimization Policy-driven Orchestration Business Policy Enablement Network & Cloud Monitoring QoE + Financial Optimization Policy-driven Orchestration Close the loop and control the cycle

16 © 2016 TM Forum | 16 Catalyst Scenario: Details Use Case 1: Catalogue-driven Network Slice Creation ‒ RaceCar Ltd. orders a new service for supporting the GP event ‒ New slice created by the service provider (includes allocations for public safety, live video streaming to spectator devices, advertising, etc.) Use Case 2: Closed Loop-driven Network Slice Creation ‒ As the event unfolds there is an overload on the live video streaming service (causing metric threshold violations) and a feedback loop gets triggered to create a network slice dedicated to the video feed. This policy was part of the service order. Use Case 3: Catalogue + Policy Network Slice Modification ‒ SmartCity policy mandates a 20% capacity margin maintained for public safety and emergency preparedness. Once network utilization goes over 80% a feedback loop gets triggered to resize the Municipal GP network slice according to policy. This policy was part of the service order too.

17 © 2016 TM Forum | 17 5G Architecture & Process Enhancements I Network Analytics Financial Analytics Policy-Driven Orchestration Optimization Catalog OTT & 3PP Requests Dynamic Service Slice Allocations Order Workflow Catalogue Management VNF Orchestration Service Ordering Policy Management WeDo Viavi Aria Ericsson

18 © 2016 TM Forum | 18 PNF Orchestration Charging & Billing 5G Architecture & Process Enhancements II Network Analytics Financial Analytics Policy-Driven Orchestration Optimization Catalog OTT & 3PP Requests Dynamic Service Slice Allocations Order Workflow Catalogue Management VNF Orchestration Service Ordering Policy Management WeDo PNF Orchestration Charging & Billing Viavi Aria Ericsson

19 © 2016 TM Forum | 19 Relevance to TM Forum/Frameworx ZOOM Foundations ZOOM Information Model Extensions to accommodate multi-aspect policies involving resource policies and the operator’s financial objectives ZOOM Operate ZOOM Operations Flows that promote NFV automation as a key enabler for the profitability within providers and across B2B2X provider ecosystems Technical Report on architecture enhancements to add financial data inputs to the closed-loop control chain TR229IG1128TR244 Technical Report on Automation Risk Assessment Mechanism that dynamically gauges the level of automation in making decisions based upon risk factors that are calibrated according to a decision impact severity scale ZOOM User Stories that capture interactions among data collection, analytics, optimization, policy management and NFV orchestration Application Note to showcase the model extensions by application into the provider ecosystem and use case of the Catalyst. TR236


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