Autonomous Digital Infrastructure - GIO Round Table 7, Feb. 22, 2021 Luigi Licciardi (5GSA)
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Agenda • Business Value of Autonomous Digital Infrastructure (Some Verticals use case) • Autonomous Digital Infrastucture Arcitectural View • Autonomous Digital Infrastucture and Autonomous Networks • The importance of a coordination in the extended ecosystem • The role of GIO • GIO ADI WG main evidences from 2020 • The value of Intelligent Network Slicing for ADI • GIO ADI WG Plan for 2021 • Questionnaire and survey • Partners engagement • Conclusions
Verticals need new ICT services with significant Autonomous Capabilities Manufacturing Healthcare Automotive Smart Farming Finance Consumer Education Network-as-a-Service Flexible commercial models, pay- High High High High High Low High Low Low High go, revenue share, etc. Custom Network Services Precisely targeted network services customised to the use High Low Medium High High Low High Medium Low case and customer On-Demand Services when required, autonomous flexible scale-up or Medium High Medium Medium High Medium Low Medium High scale-down Self-Service Direct customer control of High High High Medium High Low Low services Edge Cloud Convergence Seamless orchestration of Cloud and Network services, High High High High High Medium Medium Telco Edge Computing Federation
Automotive Industry Sample Use Cases • 5G & Automation/AI & ML are transforming the automotive industry, the applications Automation are Robotics and automated production require ultra-reliable low latency » Smart Manufacturing (introducing robots, wearable robots i.e. Hyundai for Kia…) network, and high-capacity cloud » Safe and security driving compute for Digital Twins Tracking workers on-site to ensure » Autonomous driving Tracking safety and security » V2X vehicles, intelligent transport infrastructure Tracking tools and equipment across » Infotainment & Cloud services the campus to maximize assert utilization • Autonomous cars will generate 4,000 GB per day data to be accessed on-demand for: Predictive Predictive maintenance for expensive production equipment » Predictive maintenance Maintenance Monitoring of equipment conditions » Assisted driving (e.g. sensors for vibration, temperature, chemicals, etc.) with AI » Personalized Marketing & Adv to predict failures. » Insurance & Emergency Campus Network Fully managed autonomous campus » Fleet Management services networks support multiple use cases, replacing wi-fi and scaling to meet IoT use cases • All the AN requirements are crucial for Automotive: Reliable and Ultra-low-latency Assisted/Autonomous Sensors, cameras, mirrors, tracking Network, edge cloud capabilities, Custom Network Services, Network As A Service, Driving tools, Intelligent maps, edge cloud Security & privacy…. infrastructure i • Relevant role plays the Telco Edge Clouds federation to deliver services globally from Infotainment Personalized location based services the edge of federated telco networks. Augmentation Augmented reality (AR), head-up display to overlay information. Functionality and data model of Operator Platform for Edge Cloud. (From GSMA document )
Smart Farming • Smart farming is a variety of tech innovations in traditional farming (seeding, breeding, Sample Use Cases raising) to optimize the food production process and improve quality. Monitoring & Predictive and digital management • Digital transformation in farming evolves the business models and shortens the Analytics through extensive usage of IoT, AI/ML production chain from production to consumer. (seeding, growing, harvesting, Monitoring of fields, vineyards conditions (e.g. sensors for stocking, transforming/manufacturing (rice, wine…), distributing). temperature, drought, etc.) with AI to predict. • Pandemic has accelerated the transformation of this industry and the automation Autonomous driving machines (i.e. Tracking adoption. tractors, helicopeters) Tracking tools and equipment • Automation assists in: Tracking of whole product life cycle › Reducing labor cost Robotics, drones and autonomous Automation driving machines require ultra-reliable › Reducing the cost per unit: Automation means faster and more output for a given low latency network period of time Automation means great precision in Eco-friendly › Mitigating risk environment using of pesticides, bio treatments and in controlling product quality • Agricultural are very cost-sensitive, with tiny percentage increases in efficiency/making major differences to profitability. Optimized From fields to consumer table • NaaS is crucial for outdoor in rural areas and indoor sites with low radio propagation. Supply Chain Dual Twins Augmentation via AR • Robots and drones play a crucial role in smart agriculture in all the process phases=> Reliable and Ultra-low-latency network characteristics are important. • Smart Farming is an ideal sector for both on-premise and network-located edge cloud capabilities, bundled with network connectivity to provide rapid value.
Foundation of the digital economy: Autonomous Digital Infrastructure Smart city Smart industry Smart Automotive Smart farming... ADI, ICT digital infrastructure: intelligence-ubiquitous platform Platforms collaboration for multiple vertical industries Intelligent suppling Service personalization • Intelligent Dynamic • Smart production Learning & Svc Slicing equipment & Smart App & Service Inference Opr. App, Svc & Enabling Knowledge Automation Biz Opr Application Data collection & Inference IoT GW CDN FW reasoning Openness Optimization IoT platform Video Model reasoning Decision-making baz Business • Deterministic network producers services Voice Image Collection Recommended Cleaningreasoning Data platform aar V2X Location DPI Cache Handling control V2X Industrial control platform Analysis Portrait Storage OpennessService Data flow flow platform as a service • Material, energy, and RT OS Edge OS Cloud OS • Ubiquitous computing usage efficiency Access/Aggregation Backbone & AI as a service • Quality, and flexibility • Flexible Production • Security & privacy Smart Ending Points (User Equipment) 5G & Fiber Access Edge Intelligence OXC Mesh & SRV6 Central Intelligence Internet • Distributed Agility Autonomous Digital Infrastructure as Platforms Federation • Cost Structure Simplified architectures optimization
Reference framework of Autonomous Industry Infrastructure Digital twin world collaboration layer Rollout Assurance Digital service Design Rollout Assurance Rollout Design Assurance Rollout Assurance Design Design Service Full lifecycle Equipment Full lifecycleProvisioning operation layer Service Full lifecycle Service Full lifecycle Equipment Full lifecycle Equipment Full lifecycle Service Full lifecycle Planning Fulfillment Planning Provisioning Fulfillment Provisioning Equipment Full lifecycle Provisioning Optimization Planning Fulfillment Planning Fulfillment Optimization Optimization Optimization Smart producers service ecosystem Smart producters service ecosystem Smart producers service ecosystem Smart producers service ecosystem Smart production equipment ecosystem Smart production equipment ecosystem Smart production equipment ecosystem Intelligent production device ecosystem A O A O Digital twin A A A O Edge A A A O construction AI O A AI EdgeAI O A A A O A O A A I IoT GW CDN F reasoning Openness Optimization IoT platform V Modelreasoning b Business Decision-making A A Cleaningreasoning I IoT GWCDNF reasoning Openness Optimization IoT platform V Modelreasoning b Business Decision-making AICleaningreasoning p p I p p I i i A p p IoT GW CDN F reasoning IoT platform Model reasoning b Business OSp p Openness V Optimization Decision-making d a d a p RT OS Edge OS W W OS p Cloud i p pOS A Cleaningreasoning e e Collection Service A Business Collection Voice Image Recommended Cleaning reasoning Cache Handling Analysis Service Voice ImageRecommended Cache Handling Analysis RT OSI IoT platform V Modelreasoning control z Openness PortraitStorage control Openness PortraitStorage p reasoning D Cloud OS IoT GWCDNF Openness Optimization Decision-making b W d a o o z p I p p Cloud OS D V2X Location DPI I Edge D p V2X Location DPI D i e Industrial control p platform Industrial control p platform OS p Collection Service V V AnalysisPortrait Storage p Voice Image Recommended Cache Handling control z Openness pRT OS a Cloud OSp d o a a l l W 2 layer (ICT 2 D V2X Location DPI RT OSI D p p Industrial control p platform Collection Service e V Voice ImageRecommended Cache Handling Analysis a a Openness X X control PortraitStorage a r z r o platform 2 l a a t p t V2X Location DPI p p D Industrial control D p V r a r p X p l f l f r p p 2 a a l p t r r a o a o p r X a l f t r t r p p a a a a p a r t o r a f m f m l r r f t o o p a a a r o f m r r t . . r o m m a a f m r . embedding) o m r Access/Aggregation Backbone Access/Aggregation Backbone t t t t m . Access/Aggregation Backbone t t Access/Aggregation Backbone t t l t A C l E P E t A C E P E o o a a 5a a l o l r i a l o l r i a t A C l r r E P E a r m Edge OX a r m Edge Central e w e e w e 5G OXC Central l o 5Ga r r a E P E t A C l o l r i a c e v f c e c e v f c e o a r m r i i Edge r i a e w Central l o l e f o r OXC t r a f o r t r a 5a r r a e e Edge f c e OXC Central e w e a r m c e v r d t i n a r d t i n a r f o r i s s c e v f c e t r a i i o c d i i o c d i i n a e t r a f o r r d t c s r i i c s r i i e s f c d f i n a i i Cf o f r d t i t n t i t n t c d s c s r i i i i o t r t i t r t i f f c s r i i i t n t y i e o y i e o G i t n t t r t i m b r n m b r n Gf f t r t i y i e o e u s e e u s e y i e o m b r n t t e r t t e r m b r n e u s e e i c e i c l e r l s e l t t l e u r o t r o t t t e r e i c n i n i l l e i c r o t f o f o r o t n i a n a n l l n i f o c c f o a n i i a n c l l o o o i o c i i i l t t o o l i i i i t e e o o t i s s i e e s w w w w s w w w w physical functional equipment physical functional equipment physical functional equipment Physical physical functional equipment infrastructure layer (Production Urban infrastructure Transportation infrastructure Power infrastructure environment) Industrial infrastructure • The on-demand and flexible production mode of industry infrastructure services reduces costs and improves efficiency in production, transaction and diffusion in the whole society • Data from the Production environment drive the Vertical Knowledge creation • Intent driven collaboration across domains and across layers among all the ecosystem players
Autonomous Digital Infrastructure The ICT industry is going through a deep Digital Transformation, driven by changing customer demands and by the extension of the Ecosystem to new Business Partners (Verticals) enabled by the arrival of new technologies such as 5G, Artificial Intelligence and Multi-access Edge Computing. The Fourth Industrial Revolution is announced. In order to provide end to end solutions customized to the Customers and Business Partners needs, the increasing complexity of Networks and Platforms supported by innovative technologies require to introduce a new Intelligent Framework with very high level of Automation in the Management and provisioning of services and Networks (Autonomous Digital Infrastructure - ADI). Autonomous Digital Infrastructure is based on Autonomous Networks. Autonomous Networks consist of a simplified network architecture, virtualized components, automating agents, intelligent decision engines and present self-dynamic capabilities to create intelligent business and network operations based on the concept of closed- loop controls (from TMForum) Autonomous Digital Infrastructure will reduce the complexity of the usage of ICT technical stacks and offerings and make the collaboration easier between vertical industry and ICT. There is likely to have a COMMON Architecture Pattern, that is the Autonomous Industry Infrastructure (AII) based on Autonomous Production Domains: ADI embedded AII for Manufacturing should be the backbone of Manufacturing as a Service (MaaS) as well as ADI embedded AII for Digital Health should be the backbone of Digital Health as a Service (Haas)
Autonomous Networks Basic Concepts Zero – X experience Self – X capability • Zero-wait • Self-service • Zero-Touch • Self-fullfilling • Self-assurance Smart-X (city, factory…) • Zero-Trouble Operations Automation Business intent Business operations Service intent Business closed-loop Services operations Resource intent Service closed-loop Resource operations Resource operations from ETSI White Paper Resource closed-loop Resource closed-loop PE PE VE VE Closed loop Autonomous Domain based Intent driven • Business CL • Autonomy • Business Autonomous domain x Autonomous domain y • Service CL • Abstractation • Service • Resource CL • Collaboration • Resource from TM Forum White Paper
Call for Industry Collaboration to Push Forward about Autonomous Networks 1 Define the reference 2 Define industry SDOs 3 Define assessment architecture collaboration system Technical Business Production Perspective Perspective Perspective Unified language for technology Allocate the scope of work for Setup the assessment system for and architecture industry players autonomous networks & domains Define the reference architecture in Define the collaboration interface Define measurable guidance for a long-term view for future between various parties in the Autonomous Domains, Networks and development, to ensure the frame industry, allowing closed loop Infrastructure stability and advancement. services for business objectives.
Cross-organization cooperation is mandatory • Cross-industry cooperation: Cooperate with vertical industry organizations on key use cases. • Cross-organization collaboration: Cooperate to research Organizations of Vertical Cross-Industry Academia or reuse the work of other telco organizations to avoid Industries Organizations industry fragmentation Verticals • Cross project Collaboration within an organization: Some 5G-ACIA organizations have multiple relevant work groups that need coordination. Service Providers • Core SDO (ETSI, TM Forum and 3GPP) need to specify their Telco Organizations work split and cooperation mode to accelerate the deliverables. • Joint innovation: PoC to demonstrate high spectrum Open Source Telco SDOs Suppliers efficiency/energy efficiency/asset utilization/agility of production/customer experience . • Expanded influence: Cooperate with other telco Thoughts,ideas organizations working on public technologies and official organizations (ITU-T and CCSA). Thoughts, ideas Other GIO is a Roman-like Forum open to multiple Roundtables, Workshops, Webinars, Particip industries/organizations Reports ant Org • to discuss and conduct research about digital transformation. • To facilitate the collaboration between Vertical industries and ICT for Autonomous Digital Infrastructure, Smart Manufacturing and Digital Health.
Key Takeaways from GIO webinar • ADI is a great business opportunity not only for CSPs. Operators will benefit in terms of strong cost reduction and new revenue opportunities • ADI evolution, standardization and deployment require a large industry • consensus; SDOs need to collaborate to reduce the competitions and create synergy, GIO can help at all levels • Network Slicing is a key capability for 5G; evolution and standardization of Autonomous Networks and ADI should take care of evolving Network Slicing in order to satisfy the Verticals requirements and needs • AI and Machine Learning will play a key role in ADI evolution, these technologies will be everywhere from devices to edge/cloud, they are managed, produced and owned by different players, mixed ownerships is a point of attention and it requires security and trust • The evolution from Cloud computing to Edge Computing is the trend and it will be the next battle-ground where Telcos can play an important role. • AN/ ADI is a Medium-Long Term evolution the real products deployment with AI everywhere and a significant level of Autonomy (level 4/5) are expected in four/five years, however in 24 month time-frame tangible elements of AN, generating the first benefits, might be available (i.e. at Level 3 – partial autonomy). • Standards should move fast to prepare the conditions of interoperability and commercial deployment of Autonomous Networks; the Standard stabilization should be within 2 years maximum time-frame
Intelligent Slicing Creation Process in AI Slicing Management and Orchestration 1. Tenant SLA Slice management requirements Tenan 3. Network slice configuration system tnt Smart Access network transportation Transmission network Core network Resource 2. Slice resource Resource Configuration Resource Configuration Configuration configuration analysis Smart grid RAN sub-slice TN sub-slice CN sub-slice Intelligent analysis system [New slice]: Air interface resources: Smart factory 15%Maximum air interface resources: 70% New AAU AMF SMF UPF slicing Live video saved AAU AMF SMF UPF slicing From Jennifer Zhang Jing’s (CAICT, IMT 2020) presentation at GIO Webinar
Autonomous Digital Infrastructure (ADI) – Plan for 2021 The Working Group is focused on the promotion and launch of Autonomous Digital Infrastructure in a medium/long term perspective as a key enabler of Digital Transformation in the Industry. • GIO RT#7 Autonomous Digital Infrastructure WS and 2021 Plan List of participant organisations (in 2020) (Feb. 22, 2021) 5GSA • Questionnaire (Feb. 26, 2021) and Survey on ADI (Mar., 2021) 5G-DNA • Selection of main topics for GIO in 2021 (Mar. 2021) TM Forum • Webinar 2: Autonomous Networks – SDO main achievements ETSI (Apr. 2021 - to be confirmed) CCSA & 5GAIA • Web. 2 Report and Newsletter (Apr.2021) List of participant professionals/experts • White Paper 1: Autonomous Networks: Architecture evolution Luigi Licciardi--5GSA and Business Opportunities (Mar. 2021 – end June 2021, pub. Jul. 2021) George Glass--TMForum • Web. 3: The evolution from Autonomous Networks to David Boswartick--ETSI Ms. Zhang Jing--CCSA Autonomous Digital Infrastructure: Vertical use cases (Jul. Mr. Dai Jisheng--5GDNA 2021, to be confirmed) Martin Creaner--GIO • Web. 3 Report and Newsletter (Jul. 2021) • GIO RT#8 ADI WG Presentation of main results (Sep. 2021) • White Paper 2: Autonomous Digital Infrastructure: business Objective: increase participant organisations and opportunities and requirements (Sep.2021 – end Nov. 2021, professionals pub. Dec. 2021)
Questionnaire and survey Objective of the questionnaire: interview Partners, ICT players and Verticals on business value, innovative enabling technologies and use cases on Autonomous Digital Infrastructure and soliciting contributions to actively participate the ADI WG deliverables. A survey is going to be delivered to GIO partners collecting answers and suggestions The questionnaire is based on 3 main sections: • Information on the Partner/ Company and its business / competence focus • 5G and Key technologies plan and interest • Autonomous Networks (status of the initiatives, results and plan) and Autonomous Digital Infrastructure (perspective and opportunities) The interest in attending the ADI WG is also checked as well as the area / deliverable to contribute and some suggestions are collected on the best way of working/ contributing (depending on the deliverable to be produced) The questionnaire will be delivered after the GIO RT#7 by GIO Operation Team After a reasonable time frame (3-4 weeks) to answer the questionnaire, a survey collecting the answers will be delivered to GIO partners by the GIO Operation Team
Conclusions • Autonomous Networks (AN) is gaining momentum and consensus in most significant SDOs and is in continuous progress • TM Forum launched a coordination table among SDO working on the subject • ETSI launched a OCG ad hoc subGroup for synchronization and coordination of ISG/TC dealing with AN • NGMN launched the Project Network Automation and Autonomy • ITU-T launched a Focus Group • Autonomous Digital Infrastructure (ADI) is a further step forward – being AN a primary foundation for ADI • ADI includes Provisiong, Business Assurance, Offer management, Customer and Party Management... It is beyond connectivity • ADI includes Computing, Edge Cloud, Federation of Edge and Cloud, connectivity and services... It is Cross-Connectivity • ADI requires committment and engagement of Business Partners (Verticals) for use cases and requirements • ADI could be the backbone of MaaS (Manufacturing as a Service), HaaS (Health as a Service), ADCaaS (Autonomous Driving Car as a Service).... • Intelligent and dynamic E2E ADI Slicing, SLA driven, is a key element for ADI • ADI should provide the capabilities to create Vertical specific Digital Twin • ADI is business driven and opens new innovative business scenarios and opportunities with Verticals • GIO can engage Vertical Partners through Vertical/ Cross Vertical Alliances (5GAA, 5GDNA, 5GSA, IIC, 5G-ACIA...) and provide the right Forum to co-operate
Thank you For questions and information Luigi.Licciardi@huawei.com www.gio.zone www.5gnsa.org 17
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