Christian Destre (France Telecom, France): Facing future internet service and network management complexity (UniverSELF project)

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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 Relationship
Management
Customer Relationship
Management
Retention & Loyalty
Customer Interface Management
Selling
Resource Data Collection & Distribution
Supplier/Partner Interface Management
S/P
Performance
Management
S/P Problem
Reporting &
Management
S/P
Requisition
Management
Resource
Provisioning
Resource
Trouble
Management
Resource
Performance
Management
Service
Quality
Management
Service
Problem
Management
Customer
QoS / SLA
Management
S/P Settlements
& Payments
Management
Service Guiding
& Mediation
Marketing
Fulfillment
Response
S/PRM
Support &
Readiness
SM&O
Support &
Readiness
RM&O
Support &
Readiness
CRM
Support &
Readiness
Service
Configuration
& Activation
Order
Handling
Problem
Handling
Bill Payments & Receivables Mgt.
Bill Invoice
Management
Manage
Billing Events Charging
Bill Inquiry
Handling
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
NE
NE
EMS
NMS
EMS
Multiple
Interface
Control Plane
e2e Transport Plane
OAM
vi
OSS
BSS
BSS Applications
OSS Applications
HL
R
HL
R
HL
R
HL
R
BSS data base
OSS data base
IS
Information 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”
Federating
Unification 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
VPLS
VoIP
computing
ETree
ELANEVPL
•service
view
common (systems and services) management substrate
verticaltrust
•service
view
Business driven goals
cross-technologies
Human2Network

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Unified Management Framework
GovernanceGoals
Human
Network
To
Policies
Embodiment
New
Method /
Feature /
Algorithm /
ElementDescription/
Semantics
Enforcement
Context
Enforcement
Common Description Level
Federation of legacy and emerging autonomic systems
Information& Knowledge Management
Information& Knowledge Management
CallforGovernance

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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 Framework
Specification and design of a service oriented and network agnostic Unified
Management Framework
Network governance
Information and knowledge management
Embodiment mechanisms
WP3 Network Empowerment
Develop 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 Impacts
Use 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)