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© 2017 TM Forum | 1
TM Forum Live!
2017
Using Future OSS
Orchestration to Enhance
Operations and Service Agility
© 2017 TM Forum | 2
Presenters
Roberto KungSenior Vice President, Network Operations & Performance
Orange
Pierre MullerVice President, OSS & Operations Processes
Orange
Tom ArcherSolution Architect, Future OSS Technical Director
Huawei
© 2017 TM Forum | 3
Future OSS Concepts and Architecture2
1 Orange Strategy and Expectations
Content
Take Away and Benefits3
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Orange digital transformation strategy plan
Essentials2020
To be always responsive and
in touch with what is essential
for the customer
This implies overall
transformation, in particular for
Operation Agility
A digital, efficient and responsible company
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Orange expectations
1. Fast adaptation
2. Full automation
3. Openness
Agility
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1. Fast adaptation
Design
systems
Vendor Software
Product
Incubation
Validation
Collaboration
From 18 months to 6
days
Recipes
Policies
Operator Operation
Package
Recipes
Policies
Design systems:
DesignOps, Model-driven Processes and Catalogue-based Definition
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2. Full automation
Control Loops, Knowledge Plane, Real-time Analytics, Policy-based Decision
Real-time
Policy
Telemetry
Product Service
ResourceReceipts
Policies
IaaS
controller
Network
controller
Application
controller
Master Service
Orchestrator
Orchestration
Fulfillment Assurance
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3. Openness
Openness through APIs & Adaptation layer: legacy OSS, Infra, partners
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Future OSS Concepts and Architecture2
1 Orange Strategy and Expectations
Content
Take Away and Benefits3
© 2017 TM Forum | 10
Future OSS - Achieving the Goals of OSS Agility
Low Agility Features Future OSS Features
Agi
lity
Enab
lers
Rapid Development
Processes
Separated Design, Development, Operations
Hard wired code based processesand definitions
Model-driven processes
DevOps – DesignOps
Open Ecosystem
Proprietary/static APIs
Technology/business based silos
Open APIs Federation of systems
Everything-as-a-Service (XaaS)
OSS Automation
andAutonomics
Limited, low level rule base
Siloed, completely open-loop systems
End to EndClosed Loop Orchestration
AnalyticsPolicy-based decision making
OSS Adaptability
Monolithic systems
Multiple Incompatible Views
Common Information Model/Model Transformation Cloud-based platform
Microservice-based –FMO architecture
“Providing the AGILITY to support digital operations transformation of hybrid networks”
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Cloud / PaaS
Design Systems
Service Design
Resource Design
Policy Design
Analytics Design
Support SystemsAdaptation
Catalogue Policy Management
Dynamic Inventory
Future OSS High Level Functional Architecture
“Providing the AGILITY to support digital operations transformation of hybrid networks”
• Design Systems enables DevOps and
DesignOps using a Visual Design Studio to
support integrated model development
• Support Systems provide multi-domain
catalogue, dynamic inventory and policy
management, acting as a bridge between
design-time and run-time
• Fulfillment interacts with external order
processes – performing order lifecycle
management and status tracking
• Assurance provides automation tools, and
guides manual operations in the event of fall
out from Orchestration.
• Orchestration leverages the models, policies,
and metadata required to support end-to-end
closed loop fulfillment and assurance.
• Cloud/PaaS provides the cloud-based platform
of the Future OSS
Fulfillment
Pre-Ordering
Order Management
Assurance
Visualization
Operations
OrchestrationData Collection
Analytics
Decision
Implementation
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Achieving Automation and Autonomics: Closed Loop Operation
Hybrid Network (Cloud, Physical/Virtual Devices and Connectivity)
External Events and
Information
Feed Forward Process
• Data Collection reacts to new
events
• Analytics gathers and generates
context - develops understanding
using knowledge-based
techniques
• Decision adopts one or more
possible courses of action
• Implementation carries out the
action
Based on the OODA Principle
(Observe, Orient, Decide, Act)
Cloud / PaaS
Design Systems
Fulfillment Assurance
Orchestration
Support Systems
Orchestration
Analytics
Decision
Data Collection
Implementation
Observe
Orient(Context Based
Analysis)
Decide(Plan)
Act
Feedback Process
• Analytics, Decision and Implementation may generate direct
feedback/guidance that changes the way that the system reacts to data
• More complex internal loops may be necessary e.g. for self-configuring,
self-healing, self-optimising, and self-protecting behaviour
Policy provides guidance at
each stage
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Decision
Achieving Automation and Autonomics: Full Automation
Resource State A
Resource State B
Resource State C
Resource State D
Utility = 3
Utility = 2
Utility = 1
Data Collection Analytics Implementation
Orchestration
Resource DType Y State
A
Resource D Type Y State B
Service CType x Goal Policy
Service type x Response Time is < 5s
Goal Policy -resource type y utilisation is < 60%
Event Based Policy – handle resource performance events
Utility Function Policy – Utility (goodness) of state transition A-B = (……..) etc.
Goal Policy - Increase Resource Capacity (change state)
Predictive
Service/ Resource
Performance
Analysis
Resource Performance
Events
dependency
Design and
Configure resource
changes
Test Changes and
Verify associated
policies
Data Collection receives
a series of resource
performance events
Analytics uses event and goal based
policy plus predictive analysis to
anticipate future service issues
Decision creates new goal
and determines optimum
course of action based on
utility function policy and
analysis
Implementation
configures the changes,
and tests and verifies all
related policies
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Assurance
VisualizationOperations
Analytic Notebooks
Flexible View
PresentationConfiguration
Data Orientation
ProblemManagement
Test & Diagnosis
Incident Management
Orchestration
Data Collection
Analytics
Decision
Implementation
Cloud / PaaS
Design Systems
Fulfillment Assurance
Orchestration
Support Systems
.
.
.
Orchestration loops may need closing through human intervention with progressive automation
1
1. Data Collection and Analytics find a novel situation for which there is no policy based resolution
2
3
2,3. Decision falls out to Operations for human investigation
6
5
4,5,6. Operations applications including Incident and Problem Management, and Test and Diagnostics may be used by teams to address both incident resolution and root cause analysis
4
7. Visualization supports current and historical views and collaborative problem solving
7
8. Design Systems receives updates to policy/analytics
8
Then Orchestration responds to future similar events in an autonomic way based on new policy/historical resolution details
Achieving Automation and Autonomics: Blending Human and Machine Operations
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Achieving an Open Ecosystem
Co-ordinated knowledge plane distribution supporting control plane interaction
Interface Management
Cloud / PaaS
Design
Systems
Fulfillment Assurance
Orchestration
Support Systems
Cloud / PaaS
Design
Systems
Fulfillment Assurance
Orchestration
Support Systems
Domain 1 Future OSS
Domain 2 Legacy OSSDomain 3 Future OSS
Control Plane
Knowledge Plane
Resource
ManagementFault
Management
Service
Management
Adaptation
Adaptation
▪ Orchestration of multi
domain environment,
between & within CSPs:
▪ Hierarchy of
closed/open loops with
delegation
▪ Intent based processes
▪ Co-ordinated distribution of
the knowledge plane via
▪ Open APIs
▪ Data federation
▪ Common Event Bus
▪ The Knowledge Plane is
formed by the Support
Systems: federated
Catalogue, Inventory, Policy
and cognitive data
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Future OSS Concepts and Architecture2
1 Orange Strategy and Expectations
Content
Take Away and Benefits3
© 2017 TM Forum | 17
Future OSS in a Nutshell
1. Common Digital Platform for Hybrid Networks and Services
2. Framework Architecture to Enable AGILITY in Digital Operations Transformation
DESIGN SYSTEMSEnabling DevOps & DesignOps
through Model-Driven Design
FULFILLMENTTransforming business requests into
agile and cost effective solutions
ASSURANCEAssuring Service Quality through
a combination of manual and
automated operations
ORCHESTRATIONThe Automation and Autonomics
Engine of hybrid end-to-end
Service Management
SUPPORT SYSTEMSThe bridge supporting hybrid
end-to-end Service Design
(Think, Build) and Service
Operations (Run)
CLOUD / PaaSProviding a Cloud-native,
Dynamic , Secured, Open and
Extensible OSS environment
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Future OSS key Concepts
• Provides a blueprint from which CSPs can begin
their digital operations transformation
• Enables agility by creating an operating model for
CSPs with intelligent and progressive operational
automation, self-management, and self-
configuration
• Provides a holistic approach that defines the
management of hybrid networks (virtual, physical
and legacy)
• Is a truly cloud-native and resilient platform to
achieve “OSS-as-a-Service”
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Future OSS White Paper Take Away - Orange
From NetOps to DesignOps
▪ Operations will focus on closing loops with DesignOps utilizing the
Future OSS Design Systems.
▪ Network Operations Teams need to develop new skills with the ability
and appropriate model-driven tools to work on design.
Implementation path
▪ Future OSS provides flexible paths for its own introduction.
▪ To protect existing investments, Future OSS allows current systems
(e.g. Inventory, etc.) to be incorporated through federation.
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Future OSS Benefits - Orange
For Orange, the Future OSS acts as a standardized
framework that can be adopted by the whole industry,
including CSPs and Open Source communities.
Orange believe ONAP is a good example of an
implementation of part of the Future OSS for
SDN/NFVhttp://carrier-
back.huawei.com/~/media/CNBG/Downloads/Services/SolutionTopic
/oss/OrangeHuaweiFutureOSSWhitePaperfinal.pdf
© 2017 TM Forum | 21
Thank You
Copyright © 2016-17 Orange S.A. and Huawei Technologies Co., Ltd. All rights reserved.No part of this document may be reproduced or transmitted in any form or by any means without prior written consent of Orange S.A.
and Huawei Technologies Co., Ltd.