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Christian Destré, Orange Labs

Technical Manager of the FP7 UNIVERSELF project

Facing Future Internet service and network management complexity

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Telcos' management operations

Operations in eTOM (TMF)

– Processes are instantiated for the CRM network segments (Access, Backhaul, CORE networks) and services

– With several organizational entities

Operations

Fulfillment Assurance Billing & Revenue Management

Operations Support & Readiness

Service Management &Operations

Resource Management &Operations

Supplier/Partner RelationshipManagement

Customer RelationshipManagement

Retention & Loyalty

Customer Interface Management

Selling

Resource Data Collection & Distribution

Supplier/Partner Interface Management

S/P PerformanceManagement

S/P Problem Reporting &Management

S/P Requisition

Management

ResourceProvisioning

ResourceTrouble

Management

ResourcePerformance Management

ServiceQuality

Management

ServiceProblem

Management

CustomerQoS / SLA

Management

S/P Settlements& Payments

Management

Service Guiding & Mediation

MarketingFulfillmentResponse

S/PRMSupport &Readiness

SM&O Support &Readiness

RM&O Support &Readiness

CRM Support &Readiness

ServiceConfiguration & Activation

OrderHandling

ProblemHandling

Bill Payments & Receivables Mgt.

Bill InvoiceManagement

Manage Billing Events Charging

Bill InquiryHandling

Resource Mediation& Reporting

Manage Workforce

OAM / OSS / BSS– NE/EMS/NMS provided by

vendors– OSS/BSS, part of telco IS– Multiple Interfaces and data

models issue– Too many tools depending on

the management entities and network segments

OAM&Network

NENE

EMS

NMS

EMS

Multiple Interface

Control Plane

e2e Transport Plane

OAM

vi

OSS

BSS

BSS Applications

OSS Applications

HLR

HLR

HLR

HLR

BSS data base

OSS data base

ISInformation System

infrastructure

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Legacy services and network resources (~40 years of R&D)

Network resources– Mobile & fixed convergence

– Separated management– IP QoS management complexity

– Several mechanisms to configure– Increasing number of devices

– Mobile devices, Customer Premise Equipments, … Services

– Facing IP mobile & fixed convergent service management complexity– End to end management issue (QoS, QoE)– IMS– Increasing number of services

Management issues: silo and ossification– From service requirement to network configuration = dedicated (not reused)

processes = manual operations and IS static operation made = effort, delay and consistency issue

– Change/update of management functions– Extremely costly and time consuming (adding significant costs to OPEX)– No deployment tools for new management functions

– Separate Management for Networks & Services– Placement of Management functionality

– External management to managed systems

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Towards Future Internet – Management is the primary enabler Increasing managed entities : services and devices

– M2M, Internet of things Increasing management tasks

– Green Networking and Energy Efficiency Dynamic / on demand management

– Dynamic processes management– On demand service and resource configuration/provisioning related to

on demand subscribing or situation evolution Managing new types of resources and services

– Virtual resources (e.g. Cloud Computing, Virtual Networks, Virtual Storage)

– Dynamically provisioned and shared Virtual Infrastructure based on different types of Virtual Machines ( e.g. virtual rooters, virtual service components, ..)

– Customized services based on customer profile/situation Interconnection/interoperability & Extensibility

– Between network operators, service providers, third parties (e.g. different chains of players)

– Higher level of integration Orchestration of the closed management loops across federated domains or

in a single domain Context and Knowledge plane focus

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Autonomic Networking/communication, autonomic as enabler

Simplify management at all levels (access networks, core networks, services, fulfillment & assurance)

– Potential to reduce OpEx– Various aspects of Self-Chop: Configuration, Healing,

Optimization Performance– Cross-technologies– Relies on Standards

Lot of works concerning Autonomic Networking architectures

– Need of Unification– Need of being operational and impactful

– Related to Telco's processes and governance & trust constraints

– Integration of management for Services/Applications with network

– Large scale deployability of management functions

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UNIVERSELF Consortium (FP7-257513)

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UNIVERSELF Objectives:“Realizing Autonomics for Future Networks”

FederatingUnification of existing architectures and convergence of network management principles across multiple technological contents

Empowering Embed intelligence inside network equipments

Impactful Impact the telecommunication industry and push towards exploitation of its results

Trustworthy Foster adoption by means of trust and confidence

Orange Labs - Research & Development – UniverSelf – 02/12/2010

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"Cleaned state", "not clean slate"

VoIP

HSI

VoDstorage

caching

B2B

VPLSVoIP

computing

ETree

ELANEVPL

•serviceview

common (systems and services) management substrate

vert

ical

tru

st

•serviceview

Business driven goals

cross-technologies

Human2Network

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Unified Management Framework

GovernanceGoalsHuman

Network

To

Polic

ies

Embodiment

New Method / Feature /

Algorithm / ElementDescription/

Semantics

Enfo

rcem

ent

Cont

ext

Enfo

rcem

ent

Common Description LevelFederation of legacy and emerging autonomic systems

Information & Knowledge Management

Information & Knowledge Management

Call

for G

over

nanc

e

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UNIVERSELF: Use case oriented

Perimeter: mono-operator, multi-vendor Scenario 1: Operators' Service and data management

– Lack of a global end to end view of all data (both Users and net data), especially in NGN

– Lack of mappings/views correlating these data to services at different levels– Cross-layer network data are not used for optimizing use of network

resources & the management– No means of using data flows for enabling new business opportunities (e.g.

brokering specific data to third parties) Scenario 2: SON for Radio Access and Core Networks

– Evolving the management plane to allow the introduction of high level policies

– Enhancing cognitive capabilities in SON enabled network elements, including learning, decision making and knowledge sharing geared towards enforcing policies

– Framework for coordinated SON mechanisms and entities to enforce policies Scenario 3: Future Internet Services Management and Network

Resource Optimization

– Configure and manage the necessary number of network components for Future Internet services: Real-time experience social networking, global inter-connectivity, cooperation services

– Easing configuration / deployment

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UNIVERSELF: Use case life-cycle and experimentation strategy

Deployment and impacts

Network Empowerment

Management Framework

Simulation / Test-Bed EvaluationUse cases Requirements

Algo

Deployment and impacts

Network Empowerment

Management Framework

Simulation / Test-Bed EvaluationUse cases Requirements

Algo

Deployment and impacts

Network Empowerment

Management Framework

Simulation / Test-Bed EvaluationUse cases Requirements

Algo

Deployment and impacts

Network Empowerment

Management Framework

Simulation / Test-Bed EvaluationUse cases Requirements

Algo

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Conclusion

More and more complexity to manage

Management and managebility are the key enablers for realizing Future Internet

– Unified management Embedding Autonomicity in shared Infrastructure

– With trust Operational impact and related standards

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Acknowledgement to Alex Galis for his useful remarks

Thanks

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FP7 Call 5 Integrating Project

Total Cost: ~16M€;

EC Contribution: ~10M€;

17 Partners

Duration: 36 months

Start date: 01/09/2010

Project Coordinator: Alcatel Lucent Bell Labs France

Technical Manager: Orange/France Telecom

About UniverSelf

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Project structure

WP1 Project Management

WP2 Unified Management FrameworkSpecification and design of a service oriented and network agnostic Unified Management Framework

Network governanceInformation and knowledge managementEmbodiment mechanisms

WP3 Network EmpowermentDevelop algorithms with self-x and cognitive capabilities together with their requirements for their embodiment into network functions

Parameter optimization Observation and actions (learning & control) Cooperation strategies and incentives (orchestrating control loops)

WP4 Deployment and ImpactsUse case definition, integration and solution deployment (validation via simulation prototyping, and experimentations), certification, trust building

WP5 Trend setting

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Conclusion

Substitute KISS principle with KII principle

KISS principle ““Keep it Simple, Stupid - today

optimisation is tomorrow’s bottleneck” (Source: D. Isenberg)

KII principle “ Keep it Intelligent – today fundamental is tomorrow’s secondary” (Source: A. Galis)