1. © 2015 TM Forum | 1 Service Level Management for Smart City Ecosystems and Trusted IoT Nektarios Georgalas, BT

2. © 2016 TM Forum | 2 The Use Case Milton Keynes is the UK’s fastest growing city, economy set to grow 67% by 2026 City infrastructure under strain Target: enable growth of 20% with no net increase in water, energy, waste collection, and reduce congestion SME incubator of up to 90 SMEs, with projects in transport, energy, water, home, and education See www.mksmart.org, all rights reservedwww.mksmart.org

3. © 2016 TM Forum | 3 Architecture Information Exchange (IE) Data Hub Portal Single Sign On Authorisation Authentication Analytics IT Services Data Consumers Sensors Service Management Developer Environment Admin Data Providers Developers Location Event s Admin Information Services Orchestrator Application s Edge Adaptors / APIs Information Services End Users

4. © 2016 TM Forum | 4 TM Forum Catalyst Challenge: Enabling Smart City Ecosystem with SLAs and Trust Commercial Offerings Procurement Functions - VSP Information Providers Application Providers End Customers Virtual Service Operators (VSOs) Sell products, services, and data Sell packages & white label Charging & Accounting per region/currency Billing & Payments Varies per council/enterprise Virtual Service Provider (VSP) Aggregate commercial offerings Set provider pricing and offers Allocate revenue and charges Billing & Payments Information Providers Application Providers Commercial Offerings Ecosystem Enablement Platform BT’s CMS incorporating Bearing Point Infonova R6 Sell Side Functions - VSO City A Authority City B Authority Enterprise 1Enterprise 2 Application Providers Service Providers Wholesale Offerings 2016 + End-to-end SLAs 2016 + End-to-end Trust Privacy Security

5. © 2016 TM Forum | 5 Data Hub Portal Single SignOn Authorisation Authentication Analytics IT Services Service Mgmt Developer Environment Information Services Orchestrator Edge Adaptors / APIs Information Services End to end SLAs Data Provider GW Data Hub Data feeds Consumer Sensors SLA analytics SLA accountability: rebates, fines Data Feeds with SLA Customer Apps Data Hub service SLA: high availability and performance Customer Apps SLA: autoscaling, contention management

6. © 2016 TM Forum | 6 Data Hub Portal Single SignOn Authorisation Authentication Analytics IT Services Service Mgmt Developer Environment Information Services Orchestrator Edge Adaptors / APIs Information Services End-to-End Trust, Privacy and Security Data Provider GW Data Hub Data feeds Consumer Sensors Data Providers T&Cs and privacy rules Customer Apps Authorised IoT devices and Data Providers join a feed Authorised Customers access data feeds

7. © 2016 TM Forum | 7 Live Demonstrations 1. The SLA-enabled MK Data Hub in action  Data Feeds Class of Service. SLA analytics and SLA accountability  Data Hub service resilience through high availability and performance  Customer apps SLAs for optimal use of Data Hub infrastructure resources: autoscaling, contention mgmt. 2. Trust, Privacy and Security  IoT devices and Data Providers authorisation to send data to feed  Data Providers declare T&Cs and privacy rules imposed by Data Hub.

8. © 2016 TM Forum | 8 MK Data Hub Business Model Canvas Online Portal Call Centre Self service Help desk Social media Residents SME Enterprises Public Sector Information and Service usage MRCs Easy access to information and services Easy monetization of services & data Improvement of public services Support cost Marketing Digital ecosystem management platform Platform operation Local Council Public services companies Research Service management Platform operations Infrastructure & platform operations R&D costs Guaranteed service levels Education Set up fees Cloud Partner Utility companies Application Developers Information Providers Sustainable City Growth APIs Grants & Sponsorship Easy to use developer portal Developer engagement

9. © 2016 TM Forum | 9 Compliance with Strategic Initiatives and Standards of the TM Forum The business model of MK:Smart is documented using the business model canvas (previous slide). There are well-defined partnership component models (business model, contractual model, financial model, operational model). See the MK:Smart partnering model design on reference slide. B2B2X Business & Partnering Model MK:Smart is designed to be deployed on BT’s Cloud Management platform (CMS) - this platform provides a comprehensive set of platform functions according to the DSRA: see reference slide DSRA Architecture Blueprint The MK Data Hub is using REST API for internal and external interfaces. For connecting with other parties, APIs are semantically aligned with the TM Forum API specification (for on-boarding, provisioning, mediation and billing). For detailed API support see reference slides. APIs eTOM: MK:Smart is leveraging the end-to-end processes of Infonova R6 SID: The MK:Smart data model is implemented in R6 (for product and customer domain in particular) aligned with the SID TAM:MK:Smart is built on a TAM compliant functional architecture Core Frameworx +SLA Framework We use SLA definition, SLA analytics for monitoring and SLA violation accountability (refunds and penalties) for Data Feeds on the Data Hub. We also use Customer Apps SLA on Data Hub’s Cloud for autoscaling, high availability and resource contention mgmt with definition, monitor and policies to optimise application execution when SLA thresholds are breached. TMF SLA assets used: TR178, GB917 and IG1127SLA.

10. © 2016 TM Forum | 10 There are multiple SLA’s that need to be tracked. We will support multiple frequencies in parallel for all the multiple participating carriers. (This is a shared infrastructure play.)

11. © 2016 TM Forum | 11 Catalyst Partners