A developer-friendly telco edge

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1 A developer-friendly telco edge Dr Simone Mangiante 19 September 2018 C1 - Public

Netflix Google Amazon Microsoft CDNs like Akamai SAP GE

2 Why edge computing not just because of lower latency Evidence: Companies embracing edge computing: Vodafone Netflix Google Amazon Microsoft CDNs like Akamai SAP GE Digital Dell HPE Toyota BMW NTT, NTT DoCoMo AT&T Deutsche Telekom 2 CMCC

Many use cases are under test Examples 1.

Automotive: HD real-time detailed lane level

Automotive: AI/ML-assisted driver monitoring 8.

Acceleration of existing enterprise apps 14.

3 Many use cases are under test Examples 1. Interactive mobile gaming: enhanced gaming, AR gaming 2. AR on the go: consumer market, enterprise field services video delivery with bandwidth reduction over radio 4. Automotive: V2X application servers 5. Automotive: HD real-time detailed lane level maps 6. Automotive: tele-operated driving 7. Automotive: AI/ML-assisted driver monitoring 8. Wearable cognitive assistance 9. IoT edge analytics 10. Private LTE networks with MEC 11. Machine vision in industry Security shield at telco edge nodes 13. Acceleration of existing enterprise apps 14. And more: Collaborative robots, etc. Tests provide proof points for app sensitivity to latency, application software architectures, MEC platforms, customer readiness etc. Pothole detector Deer detector Aldenhoven Testing Center (DE) 3

4 Various activities are relevant for the edge some examples only Standardisation, industry initiatives, and open source ETSI MEC ONF, CORD Phase 1 completed, Phase 2 - ongoing Focus areas Focus areas Fabric Requirements and use cases P4-based SDN Reference architecture Open, disaggregated transport network Some MEC API specifications Open switch operating system (Stratum) Application life cycle management Broadband access Integration with NFV LTE+/5G Edge Lawful intercept Network edge-as-a-service Etc. OpenStack Are aware of edge About management of many edge nodes Others OpenStack++ from Carnegie Mellon MobileEdgeX: announcing their Edge PaaS layer in Berlin OEC Focus on applications and developer friendly interfaces, APIs Outdoor urban testbed Living Edge Lab OEC work with ETSI ISG MEC OpenFog Consortium Framework architecture Less telco-centric BBF TMF 4 Akraino ONAP Several others!

The edge is developing with and without telco companies The location of the edge is relative IoT Industry Players Content

Leveraging IoT gateways Classic CDNs have globally distributed compute and networking facilities Example: Akamai Move

Fill the gap between enterprises and hyperscalers and expand Create a fast speed ramp to hyperscalers.

- Edge nodes in 130 countries - More than 200,000 servers - More than 1,500 locations - Amazon Cloud Front, Lambda@Edge -

5 The edge is developing with and without telco companies The location of the edge is relative IoT Industry Players Content Delivery NWs Hyperscalers Colocation Providers Move straight to the edge; start over the top Driven by needs of IoT. Leveraging IoT gateways Classic CDNs have globally distributed compute and networking facilities Example: Akamai Move beyond the huge cloud datacenters via own CDNs, edge nodes Edge nodes support functions beyond caching. Fill the gap between enterprises and hyperscalers and expand Create a fast speed ramp to hyperscalers. Typically ensure good integration of edge with own cloud - E.g. GE Predix with Cloud Foundry Have an existing enterprise customer base. - Edge nodes in 130 countries - More than 200,000 servers - More than 1,500 locations - Amazon Cloud Front, Lambda@Edge - Microsoft Azure CDN - Google: see map below Location, location, location Consider real estate as key. Support advanced services at edge nodes Expansion plans 5

6 Challenge For Telcos: Successful Go-To-Market + Leveraging Cloud + NFV Success = Meeting the needs of cloud-minded customers whilst achieving synergies by leveraging telco NFV/SDN technologies already in the pipeline About the customers Who are the potential B2B customers? Enterprises from different industries, cloud service providers, CDNs What services can be offered to such customers? Intelligent ULL-routing to 3 rd party edge nodes Edge IaaS, Edge PaaS, Edge SaaS How to achieve sufficient footprint for multinational enterprises? How to shape enterprise developer touchpoints? Which (micro) services provide value at the edge? Solutions to answer the questions Cross-industry projects, open edge computing labs (e.g. Living Edge Lab Pittsburgh, part of OEC) Know your customer issue: very different industries Solution: joint consortia with telco industry Automotive: 5GAA, AECC VR streaming:? Wearable cognitive assistance:? Healthcare:? Smart manufacturing: 5G-ACIA Joint telco edge/cloud propositions with key cloud service providers to test the market 6

7 Example challenge 1: edge as part of distributed cloud Public/Private Cloud Integration Approaches Examples AWS Greengrass Examples: PaaS, cloud-native & legacy apps, container mgmt & orchestration, cloud mgmt OpenStack-based APIs PaaS: NFV-style (on-boarding, orchestration, DevOps) Example: Edge services (e.g. ETSI MEC) And other approaches Device Network: NFVI, VIM AWS Azure Google VMware OpenStack IoT gateway, Raspberry Pi Moving cloudlet Telco network, telco cloud, remote edge cloud, MEC node (stationary) cloudlet (anywhere) Public, private clouds Most useful approaches tbd 7

8 Example challenge 2: cross-operator nodes, services and APIs Description Assumption o Network-hosted (micro)services for vertical industries, e.g. 360 streaming transformation Common capability exposure to vertical communities (e.g. AR/VR industry) 1. Common APIs to edge-hosted (micro)services 2. Common developer tools 3. Common service registry (catalogue) 4. Common node and (micro)services discovery How: e.g. via multi-carrier common edge node scheme Benefits Enables greater (critical) mass Less fragmentation towards developers Greater coverage for enterprises/partners Common front-end towards developers / hyperscalers More PaaS-like interface to developers 8 360, AR, VR, Mixed reality Automotive Gaming Common API Exposure System in Cloud e.g. telco cloud, Amazon AWS, Microsoft Azure, Global edge node discovery, accounting, Microservice 1 Microservice 1 Microservice 2 Microservice 2 Other operator Cloud Service Providers,..

Programming model with edge applications Common, friendly developer environment and tools App client Runs in end user devices Examples: o Sensor o In-car dashboard App@Edge (ME app) Might be done in

9 Programming model with edge applications Common, friendly developer environment and tools App client Runs in end user devices Examples: o Sensor o In-car dashboard App@Edge (ME app) Might be done in cloudnative architecture Can access microservices at the edge cloud via o o APIs (REST) Message bus interfaces Edge Cloud App client App@Edge APIs App@Cloud API gateway Micro-services MEC services App@Cloud Deployed in private or public cloud Communicates with App@Edge or App client Represents back-end services Private/public cloud APIs Cloud services 9

Exposure of Edge Services and APIs to Applications Adds Value Supports edge business models: move from IaaS to PaaS and FaaS/SaaS Edge cloud services 1) As per standards Radio Network Information

ment Service Location Service Exposed to edge

10 Exposure of Edge Services and APIs to Applications Adds Value Supports edge business models: move from IaaS to PaaS and FaaS/SaaS Edge cloud services 1) As per standards Radio Network Information Service Bandwidth Management Service Location Service Exposed to edge applications APIs standardised in ETSI ISG MEC 2) As per agreement E.g. industry consortium 3) Proprietary Sensors, devices Edge Cloud Private/public cloud API MEC services Micro-services Micro-services for vertical industries, e.g. Edge-based algorithms for 360-degree/VR streaming Protocol translations, filtering Multicast services, 10 MEC services towards edge apps Micro-services for vertical industries (e.g. content distribution) API Cloud services Cloud service e.g. AI, ML, as per - Microsoft Azure, - - Amazon AWS, - GE Predix,

Example: programming at the edge with AWS Devices Edge Main Cloud AWS IoT Device SDK [1] AWS IoT Device SDK Seamless and secure connection

digital twins) AWS Greengrass [2] AWS Greengrass Core Greengrass Core runtime enables AWS Lambda, messaging, device shadows, security 3 rd

Greengrass on MEC platforms AWS services, AWS Lambda [3] AWS Lambda A compute service No need to manage servers / instances Scales

11 Example: programming at the edge with AWS Devices Edge Main Cloud AWS IoT Device SDK [1] AWS IoT Device SDK Seamless and secure connection to the AWS ecosystem Open source libraries, multiple languages supported (C, Java, Javascript, Python, Android, ios, ) Device shadows (= digital twins) AWS Greengrass [2] AWS Greengrass Core Greengrass Core runtime enables AWS Lambda, messaging, device shadows, security 3 rd party code (functions) runs at the network edge Interacts directly with AWS cloud and works locally Nokia, Saguna and others integrate Greengrass on MEC platforms AWS services, AWS Lambda [3] AWS Lambda A compute service No need to manage servers / instances Scales automatically [1] [2] [3] 11

12 Interface We need to keep the edge cloud interface to developers simple! Private cloud Public cloud IoT Gateway Cellular module On-premises MEC Telco 2 Telco 1 Edge cloud 2 Telco cloud 1 Telco cloud 2 IoT platform Edge cloud 1 Developer Experience Developers? ucpe ucpe, vcpe, CORD 12

Otherwise, the challenge for customers increases How do I work with: o o o GE Predix? SAP Edge? Azure IoT Edge, AWS Greengrass? Operator 1 Edge cloud? Operator 2 Edge cloud?

13 Otherwise, the challenge for customers increases How do I work with: o o o GE Predix? SAP Edge? Azure IoT Edge, AWS Greengrass? Operator 1 Edge cloud? Operator 2 Edge cloud? How do I on-board and deploy apps? How shall I do DevOps for the Edge? Can I deploy across edges of telco carriers? Can my edge application code use the same APIs across telco service providers? Is the functionality of edge micro-services equivalent across different carriers? Do I need to deal with multiple, different edge development SDKs? 13 Required: Hide complexity from 1. Lack of coverage by EC infrastructure 2. Lack of edge-2-edge cloud interworking 3. Different EC app on-boarding mechanisms 4. Different EC app management solutions 5. Different EC APIs across telcos 6. Different EC DevOps mechanisms

A single pane of view for developers: main cloud and edge cloud A combination of cloud and edge computing to

edge cloud: e.g. Vodafone Edge + AWS Select to which cloud to deploy: Private cloud Public cloud Operator edge

Migrate application code from data center to selected edge clouds IBM IoT Platform, London IBM Softlayer/Bluemix

14 A single pane of view for developers: main cloud and edge cloud A combination of cloud and edge computing to deploy next generation edge-aware applications Ability to: Deploy an application across multi-clouds, including edge cloud: e.g. Vodafone Edge + AWS Select to which cloud to deploy: Private cloud Public cloud Operator edge cloud Manage all application parts deployed to different clouds from a single management console. Migrate application code from data center to selected edge clouds IBM IoT Platform, London IBM Softlayer/Bluemix Frankfurt Vodafone A9 Edge Cloud Volkswagen Private Cloud Single pane Source: 14

Conclusion Telco and IT worlds are different Developers belong to IT Edge computing requires a different programming model For a successful edge computing

15 Conclusion Telco and IT worlds are different Developers belong to IT Edge computing requires a different programming model For a successful edge computing proposition, we need to engage with developers from the beginning and learn from them Educational sessions Hackathons Proof of Concepts API standardisation 15

Multi-access Edge Computing & Openshift

Multi-access Edge Computing & Openshift OpenShift Commons Briefing 2017.09.20 Red Hat Hyde SUGIYAMA Senior Principal Technologist NFV SDN ICT Vertical Red Hat APAC Office of Technology WHO AM I? Hyde SUGIYAMA