Recent Advances in Network Automation Standards

Transcription

1 Recent Advances in Network Automation Standards Laurent Ciavaglia October

2 The future of digital service delivery from Digital Service Providers (DSPs) Traditional CSP Focus on elephant massmarket services that can justify the cost & time Expensive and slow to get new service to market due to complex OSS/BSS systems, and manual processes Cloud Transformation Webscales deliver rapid, personalized, on-demand services - leverage cloud automation but mainly over the top delivery CSPs starting to evolve with NFV/SDN to speed the delivery of network services Future DSP Digital experience: broad array of new services that combine cloud services and network resources Tailor virtual networks for each use case: latency, bandwidth, security, choice of functions Agile network: services are rapidly trialed, deployed & scaled Open platform: ecosystem of cloud and network players Source: Analysys Mason New Markets Faster New Services Faster Time to Revenue Higher Customer Satisfaction 2

3 The economic incentive to find new revenue sources is clear for today s CSPs Traditional CSP service revenues in mature markets* ($B) are flat TV Voice Data 1, * Western Europe, Canada, USA, Japan, South Korea, Singapore, Australia, and NZ Source: Gartner Cloud Services ($B) have strong growth but value captured by CSPs has been limited Cloud Advertising BPaaS SaaS Cloud Infra aas VOD/streaming Source: Gartner BPaaS = Business Processes as a Service Future DSP markets ($B in 2025) offer revenue expansion for CSPs Factories Worksites Cities Low Estimate Logistics & Transport 170 Health 1590 High Estimate 3700 Estimated 2025 value creation potential of the IoT - McKinsey Global Institute Value creation lies in novel services where network service performance is critical 3

4 Network Slicing - The foundation for future value creation Service Request Slice Request Attributes Latency: Throughput: Reliability: Mobility: Geography: Composable Network & Service Resources Application Logic Augmented Services Virtual Network Functions Network & Cloud Orchestration Automated composition & operations Service Delivery High performance localized delivery Security: Analytics: Cost profile: SW-Defined Connectivity Cloud Infrastructure Service Specific Network Slices 4K,VR E2E virtual network optimized for specific tenant, service or service class with dynamic adaption and automated monitoring and control Application Core Transport Access UE Network slices are end-to-end virtual private services 4

5 Network and Service Automation are essential to DSP economics Source: Bell Labs Consulting Without E2E automation NFV/SDN & network slicing add significant cost and complexity 5

6 PROPRIETARY TELECOM CLOUD INFRA & IT The shift: Transformation from CSP to DSP requires a new automation stack TRADITIONAL BUSINESS SUPPORT SYSTEMS (BSS) DIGITAL Service Provider DIGITAL STOREFRONT CUSTOMER AND BUSINESS AUTOMATION OPERATIONAL SUPPORT SYSTEMS (OSS) Evolution DIGITAL SERVICE LIFECYCLE MANAGEMENT (LCM) Service operations Network & cloud resource management Data layer management PHYSICAL RESOURCES AND INFRASTRUCTURE VIRTUAL & PHYSICAL RESOURCES AND INFRASTRUCTURE Managing complexity and agility of digital services requires fully automated delivery platform 6

7 The future architecture: What are we aiming for? DIGITAL Service Provider Areas of focus for this discussion DIGITAL STOREFRONT CUSTOMER AND BUSINESS AUTOMATION DIGITAL SERVICE LIFECYCLE MANAGEMENT (LCM) VIRTUAL & PHYSICAL RESOURCES AND INFRASTRUCTURE Service Operations & Cross-Domain Orchestration Fixed Access Domain IP Routing Domain Network Domain Management Virtual &(physical Physical or Resources virtual) Fixed Access Domain, etc. IP/Optical Domain Shared & Domain Specific Data Two level architecture, each with similar operations functions including: Orchestration and fulfilment Topology and inventory Assurance and analytics DevOps Service operations and network domain management with closed loop automation 7

8 Perspective: Evolution of network management architectures From silos and custom integration to full multi-domain automation Increasing operational complexity Operational agility and efficiency Single-Vendor Domains Multi-Vendor Domains Network Virtualization Network Automation Beyond 2018 A new architecture is required to enable network and service automation 8

9 Network automation Multi-level automation Automation: the action of making a task executable without human intervention Automation applies from individual functions to orchestration of entire chain of automation i.e. workflows Automation must apply inside and across domains e.g. enabling end-toend slice provisioning Automation challenges Diversity. How to design automation patterns applicable to the heterogeneity of devices and components Reliability. How to avoid massive error propagation when extreme automation is deployed Uncertainty. How to automate when faced with lack of knowledge or variability of the environment or conditions Automation means Measurement using streaming telemetry and analytics to generate actionable insights Learning using machine learning to identify patterns and enable predictive operations Decision using cognitive and adaptive closed control loops to produce effective (re)action plans Management using powerful, declarative abstractions (e.g. intents) 9

10 Perspective: Evolution of network management automation From reactivity to zero-touch automation Past Present Future Network/service operations Reactive Proactive Zero-Touch Level of automation Low: single task Partially automated processes Closed-loop network and service automation Intelligence Descriptive & diagnostic analytics, for example anomaly detection Predictive analytics, e.g. for maintenance/repair Prescriptive analytics & machine intelligence Network agility Static network More dynamic with partial software control overlay Fully programmable with embedded software control Source: adapted from Analysis Mason 10

11 Closed-Loop Zero-Touch Network Automation OODA Observe, Orient, Decide, Act - Closed Control Loop 11

12 Nokia vision of future network and service automation architecture Modular, extensible and scalable architecture, optimized for closed-loop Service operations: Service-level automation driven by service intelligence and orchestration across all domains Self-ordering processes automated via catalogues and open APIs Network domain management: Domain-level automation driven by network intelligence and orchestration across all network functions Model-driven resource assurance and control Cross-domain data exposure and optimization enabled by a network data service Cloud-native VNFs End-End Service Operations Service Intelligence IP & Optical Domain Fixed Access Domain Wireless Domain Domain Fixed Management Access Domain IP Routing Domain Network Intelligence Network Resources Network (physical Resources Multi-Vendor Network virtual) Resources (physical or virtual) (physical or virtual) Shared & Domain Specific Data Closed-loop automation is applied on service management and domain management levels 12

13 State of the industry Currently there are multiple inconsistent management frameworks in the industry, many silos, a lack of alignment and a lack of interoperability. It is essential to move to an environment that leverages synergies and achieves alignment through convergence on a single end-to-end network and service management architecture. 13

14 ETSI ISG ZSM Formed in December 2017; first meeting in January founding members Key objective Goal Enable future operational processes and tasks to be executed automatically, end-toend Accelerate the definition of the end-to-end service management architecture, spanning both legacy and virtualized network infrastructures Formed under the auspices of the ETSI ISG Industry convergence Facilitate collaboration with the relevant open-source projects, standardization bodies and fora Interoperability Provide a common foundation to enable a diverse ecosystem of open source groups to produce interoperable solutions 14

15 The ISG ZSM continues growing in a steady and healthy pace 58 members; 17 operators 15

16 Industry alignment: ETSI ZSM has a central role in the automation ecosystem ETSI Zero touch network and Service Management (ZSM) has a pivotal role in bridging between holistic end-end automation and other standardization bodies or open source projects Requirements derived from use cases Architecture for management/automation Open-source projects like ONAP should focus on implementation and validation Alignment discussion with LNF and ONAP already started 16

17 ZSM deliverables Note: the ZSM DRAFT specifications are publicly available via the ZSM open area (Link). Work item Title ZSM 001 ZSM 002 Use cases and requirements (specification) Reference Architecture (specification) ZSM 003 End to end management and orchestration of network slicing (specification) ZSM 004 ZSM 005 ZSM 006 ZSM 007 ZSM Landscape (report) Means for Automation (report) Proof of Concept Framework (specification) Terminology 17

18 ETSI GS ZSM 001: Purpose, Goal and Approach 18

19 ETSI GS ZSM 001: Modus Operandi 19

20 ETSI GS ZSM 001: What We Have Scenarios identify business-oriented and automation-related challenges faced by operators and vertical industries Scenarios analysis derives architectural, functional and operational requirements Currently: 31 scenarios and 90+ requirements contributed Ongoing consolidation: Group similar or related scenarios together Refine requirements: identify redundancies and reword where necessary Will improve quality, consistency and readability of ZSM 001 specification 20

21 ZSM architecture (ZSM 002*) * Link to ZSM_RefArch DRAFT specification ZSM baseline architecture Architectural principles: Modular, flexible and extensible servicebased architecture Separation of concerns: network domain management and end-to-end cross-domain service management; resources in multiple domains can be managed separately. Open interfaces Model-driven service and resource abstraction Adaptive closed-loop management automation, with rule and policy driven automated decision-making mechanisms Stateless functional components Design for reliability 21

22 What next? The ISG will conduct a gap analysis to ensure that existing activities are not duplicated and that the barriers to end-to-end automation are addressed If a gap can be addressed by an existing body, that body will be encouraged to do the work to avoid duplication. The ISG will work to fill the remaining gaps. 22

23 Additional information ZSM Terms of Reference (Link) ZSM technology page (Link) ZSM blogs (Link) ZSM Wiki, pointing to information related to ZSM PoCs (Link) ZSM FAQ (Link) List of members (Link) Operators white paper (Link) on the necessity of automation in end-to-end network and service management 23

24 Epilogue We have just embarked on an exciting journey towards the automation transformation that will help operators to meet user expectations for service agility and create new business opportunities. The ISG intends to drive a highly focused and agile industry effort involving key players spanning the breadth of the ecosystem. The ISG is open for both ETSI members and non-etsi members. The different players in the value chain are welcome to join the ISG effort, contribute to the development of the specifications and demonstrate Proofs of Concepts (PoCs) Nokia

25 Thank you! 25