Core 5 Programme

1
Core 5 Programme Enabling Flexible
Networks February 2009 Mick Wilson Fujitsu Indus
trial Steering Group Chairfor Flexible Networks
2
Programme Management Team

• Industrial Steering Team
• Mick Wilson, Fujitsu Labs (Chair) 
• Dr. Abdellatif Benjelloun-Touimi, Orange Labs
  (Deputy Chair)
• Dr. Dirk Trossen, BT Innovate (Deputy Chair)
• Academic Coordinator
• Dr Klaus Moessner, University of Surrey
• Participating Universities
• Imperial College London
• London School of Economics
• University of Strathclyde
• University of Surrey
• Wiki http//www.mobilevce.com/pmwiki5N/

3
The It Just Is Networking 2020 Vision
Future Network Stimulus A mishmash of Collisions
and Synergies
Raised Expectations

• The It-Just-Is Network
• Connectivity happens
• Optimised delivery happens
• Services happen

4
Goals and Aims

• The Goal
• Provide future networks with
• design methodologies
• enabling technologies that promote
• flexible, agile, dynamic and self-evolving
  networking
• A Network capable of coping with unforeseen
  demands
• The Aim
• identify those key socio-economic parameters that
  impact future network design
• Use these parameters to help identify suitable
  technologies to promote desired future network
  properties
• Develop a network design methodology that
  promotes self-evolving flexible IJI networking

5
How can we Address this Vision?
Understand the context of the future network

• Explore how tussles
• lead to
• Technologies, and
• Design methodologies

6
Set of Desirable Properties and Operation
Sets of desirable properties
Self Design and Operation
7
The High Level Plan Flexible Networks
The Stimulus and Motivation
The Candidate Technologies
The Candidate Mechanisms
The Verification Mechanisms
The New Design Paradigm
8
User Business Factors (Stimulus Motivation)
9
Objectives Contributions
Parameter-isation

• List of socio-economic design parameters
• List of triggers and impact on parameters

• Provide socio-economic under-standing of tussles
  between players in particular scenarios
• develop requirements and policies allowing
  dynamic reconfiguration of systems and networks
  and enabling the mediation of tussles
• support evaluation of technologies for trade-offs
  and investment decisions in the context of
  flexible networks

• Software tool
• Model relationships
• Focus on stimulating collaboration
• Challenge and evaluate relative merits among
  technical solutions

Evaluation Tool

• Challenging existing design methodologies
• Input to new designmethodology based on an
  evolutionist approach

Design Methodology Impact
Source WP-1
10
Socio-Economic Scenario Driven
A
C
1. Network sharing (cost reduction scenario)
3. Growth Scenario (emergency services)
1. Network sharing (cost reduction scenario)
3. Growth Scenario (emergency services)
1. Network sharing (cost reduction scenario)
3. Growth Scenario (emergency services)
1. Network sharing (cost reduction scenario)
3. Growth Scenario (emergency services)
3. Growth Scenario (emergency services)
1. Network sharing (cost reduction scenario)
3. Growth Scenario (emergency services)
Network sharing (cost reduction)
Disaster recovery (growth)

• Tussle
• Network Operator v Other Stakeholders
• Reconcile regulatory commitments with commercial
  drivers

• Tussle
• Inter Network Operator
• How much information to share about the network
  status

Mobile Payment (new value chain)
B

• Tussle
• Over financial services value chain
• Trust and Identity Handling

2. Mobile VoIP (risk scenario)
Mobile VoIP (risk/collaboration)
D

• Tussle
• Over whole value chain
• Customer ownership, charging throughout value
  chain

Socio-economic conflict theories can help us to
better understand tussles and what might be
innovative strategies in the design of flexible
networks to cope with tussles
Source WP-1
11
Adaptability Agility (Candidate Technologies)
12
Objectives Contributions
Metrics

• Comparison of resources over heterogeneous
  networks
• Sensitivity to service types

• Network Adaptability and Agility are essential to
  ensure network longevity
• Market based resource allocation
• Network virtualization
• Techniques to support dynamic flexible
  networking based on Market based drivers

Digital Marketplace

• Impact of the Digital Market Place on network
  implementation
• Leverage earlier M-VCE results

Vitualisation Network Provisioning

• Tussle between Service Developers Network
  Providers
• Devise an evolvable interface model

Self Organising

• Inter Domain Resource Management
• Handle variable policy constraints

Reconfigure Architecture

• Reconfiguration Policies
• Leverage earlier M-VCE results
• Technology Agnostic Policy
• Policy Development Demonstrator

Qos Multirouting
13
Robustness and Efficiency (Candidate
Technologies)
14
Objectives Contributions

• Combine different network technologies with
  network coding
• Coding aware routing Qos Provisioning
• Inter project cooperation with Green Radio
  Programme

Network Coding

• Combine Robustness and Efficiency for flexible
  networking
• Improved throughput
• Improved efficiency
• Achieving Robustness
• Cross layer network coding

Multipath Routing

• Driven by Future Internet initiatives
• New approaches in network protocol design
• Contribution toward robustness

Solution Evaluation

• Demonstration based on wireless test bed
  (Surrey)

15
Network Verification Accountability (Verificati
on Mechanisms)
16
Objectives Contributions
Network Verification

• Requirements Properties to enable trust in
  self- nodes
• Metrics to support trust

• Verification and Accountability for Self-
  networks
• Techniques to address tussle between network and
  node policies
• Enhanced network provider trust for self-
  networks

Accountability

• Model of dynamic resources across self- nodes
  networks

Verification Tool

• Mechanisms for run-time verification
• Validation against target specifications

Network Paradigms

• New network paradigms for dynamic allocation
  release of resources

17
Design Methodologies
18
Objectives Contributions
System Level Description

• Components required for new design methodology
• Combining components to form automated design
  process

• Self Design and Self Evolution in flexible
  networking
• Integration of previous work packages
• Reshape network configuration based on
  socio-economic drivers

Design Methodology

• Socio-economic inputs
• Technical design parameters as outputs

Implement desirable network property sets
Socio-economic drivers collected and interpreted
Network reshapes to new configuration
Autonomous process
19
Concluding Remarks

• Flexible Networking is taking a novel approach
• No other known networking project looking at
  self-design
• Linking socio-economic drivers to network
  parameters
• Dealing with converged networks
• Focus on composition of networks to improve
  service delivery
• It will be pushing the boundaries of networking
• Self-evolving, Virtualised, Robust and Flexible
  networking
• Adaptive to and keep pace with emerging services
• Strong relevance to
• Operators of networks
• Network equipment vendors
• Service Providers

20
Future Meetings

• Industrial Steering Meeting TSG2
• 3rd April 2009 Guildford - University of Surrey
• Social-Economic Scenario Workshop
• April Venue tba
• Industrial Steering Meeting TSG3
• 24th June 2009 Hayes - Fujitsu Labs tbc
• Industrial Steering Meeting TSG4
• 30th Sept 2009 Venue tba
• Additional Industrial Participation is welcome
  to help lead benefit from the programme -
  speak later today if interested and/or - alert
  the relevant others in your company

21
Thank you ! For further information
please contact Mr Mick Wilson E-mail
mick.wilson_at_uk.fujitsu.com Tel [phone]