Some research topics and challenges at Alcatel-Lucent Bell...

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COPYRIGHT © 2013 ALCATEL-LUCENT. ALL RIGHTS RESERVED. Fabien Mathieu, Ludovic Noirie, Alcatel-Lucent Bell Labs France 2015/11/23 Some research topics and challenges at Alcatel-Lucent Bell Labs France

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Fabien Mathieu, Ludovic Noirie, Alcatel-Lucent Bell Labs France 2015/11/23

Some research topics and challenges at Alcatel-Lucent Bell Labs France

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1. Alcatel-Lucent Bell Labs in brief

2. Some researches in networking

3. Some researches in mathematics for networks

4. Conclusion

OUTLINE

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1. Alcatel-Lucent Bell Labs in brief

2. Some researches in networking

3. Some researches in mathematics for networks

4. Conclusion

OUTLINE

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Alcatel-Lucent Bell Labs in brief

Alcatel-Lucent at a glance

• Alcatel-Lucent is the IP networking, ultra-broadband access and cloud specialist,

inventing and delivering the innovative networks of tomorrow.

• Alcatel-Lucent markets: service providers, public sector, Industries

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Alcatel-Lucent Bell Labs in brief

Innovation

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Alcatel-Lucent Bell Labs in brief

Network 2020

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Alcatel-Lucent Bell Labs in brief Bell Labs

• Through research & innovation, Bell Labs is changing the way people connect with the world.

• Global presence: North America, Europe & Asia

https://www.bell-labs.com/

+ Future Spaces

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Alcatel-Lucent Bell Labs in brief Research Programs and Activities @ Villarceaux

• Network Algorithms, Routing & Security:

­ Secure Cloud Networking

­ Mathematics of Complex Dynamic Networks

• Wireless:

­ Software Defined Wireless Networking

­ End2End Mobile Services

• IP Transport (Optics):

­ Intelligent Networks, Metro and DCI Networking, Submarine Transmission

• IP Platforms:

­ Scalable data Processing

• IP Routing: III-V Labs (opto-electronics)

• Green Network

• FX Labs

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1. Alcatel-Lucent Bell Labs in brief

2. Some researches in networking

3. Some researches in mathematics for networks

4. Conclusion

OUTLINE

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SD-LANs for Smart Environments

Context of IoT and smart environments

OUR

CURRENT

OBJECTIVE

No-limit for IoT-based services Digitally assist people in using their connected devices

for any service they desire and beyond, in any context

Today, many

connected objects

are sub-efficiently

used by people

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SD-LANs for Smart Environments

Abstracted/Virtualized view – Home example

Physical world

ISP

Internet

Home

Virtual Objects (VOs) Avatars

Chains of Virtual

Objects (CoVOs)

Abstracted view

Virtualized home view

Connected

Objects

(COs)

Communities of Connected

Objects (CoCOs)

Users

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SD-LANs for Smart Environments

SDN-ized architecture

Smart Environment

Smart environment majordomo

Controller

plane

level#1

Application

plane

Data

plane

“OSS”

(belonging to the operator)

Core

User manager

Application Manager

VO Controller(s) Network Ctrlr(s)

CoVO Manager

VO Manager

App. #1

Network Manager

App. #N

NE #1 NE #K CO #1 CO #M Owner of the

Smart Environment

Controller

plane

level#2 CoVO Controller (only one)

I-CPI

A-CPI

D-CPI

Compatible with ONF/SDN architecture

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SD-LANs for Smart Environments

Use of Open vSwitch for our demo

• Residential gateways

using Open vSwitch

v2.3.1 for our two-

home demonstration

scenario

• Programming flow

tables to enforce SD-

LAN rules

2015 internship on that

topic with a student

from UPMC: call for

external functions

from the Open vSwitch

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SD-LANs for Smart Environments

Cross-Home video delivery demo (1)

Alice’s Tablet Bob’s

Smart Phone

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SD-LANs for Smart Environments

Cross-Home video delivery demo (2)

Alice’s

NAS

UPnP

ISP’s Network

Alice’s Tablet

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SD-LANs for Smart Environments

Publications

1. M. Boussard, D. T. Bui, R. Douville, N. Le Sauze, L. Noirie, P. Peloso, R. Varloot,

M. Vigoureux, The Majord'Home : a SDN approach to let ISPs manage and

extend their customers' home networks, 1st International Workshop on

Management of SDN and NFV Systems (co-located with CNSM 2014), November

2014.

http://www.cnsm-conf.org/2014/proceedings/pdf/73.pdf

2. M. Boussard, D. T. Bui, L. Ciavaglia, R. Douville, M. Le Pallec, N. Le Sauze, L.

Noirie, S. Papillon, P. Peloso, F. Santoro, Software-Defined LANs for

Interconnected Smart Environments, 27th International Teletraffic Congress,

September 2015.

http://dx.doi.org/10.1109/ITC.2015.33

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SD-LANs for Smart Environments

Future Spaces – Potential internships

Future Spaces = evolution of SD-LAN concept

1. Tunnelized IoT protocols such as bluetooth, zigbee, weave, … (Q1)

­ SD-LAN with such protocols: remote communication of devices as if they were in the

same LAN. Use of open source libraries for that. Experimental demonstrator set-up.

2. Generic interface between Open vSwitch and VNFs (e.g., NAT, Firewall) (Q1)

­ State-of-the-Art, SW architecture design and implementation (Kernel, DPDK),

performance analysis (latency benchmarking).

3. Generalized OpenFlow with generic pattern matching (Q1)

­ State-of-the-Art, SW architecture design and implementation (e.g., DPDK) and

performance evaluation of the prototype.

4. Generalized OpenFlow for bit-stream network (Q3)

­ Study of the usage of Generalized OpenFlow for green-field networking solutions.

­ Implementation on an experimental platform and performance evaluation.

5. SDN in terminals: SDN controllers for COs… (Q3)

­ State-of-the-Art, SW architecture design and implementation (Android), network impact

analysis of having SDN controllers in connected objects or smart phones.

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SD-LANs for Smart Environments

Self-Adaptive VO Chaining – Potential internships

Self-Adaptive VO Chaining = focus on IoT-based service “self-management”

Self-built catalog of CoVOs, CoVO self-healing, (Co)VO self-recommendation…

­ We already defined a modeling framework based on attributed typed graphs (2015 internship) that

we are using for IoT-based service classification

1. IoT-based service generator tool (CoVO generator)

­ Objective:

­ In order to consolidate and validate algorithms to classify IoT-based services (CoVOs), we need to

automatically generate IoT-based service examples

­ Expected realizations:

­ Analysis of existing resources about IoT devices and IoT-based services, data models, …

­ SW design and development for the IoT-based service generator: exploitation of the existing

resources, generation and handling of lot of instances of VO models for IoT devices and CoVO

models for IoT-based service, development of a user interface for VO/CoVO

representation/visualization, CoVO composition from VOs, output data file export for simulations…

­ Use case: exploitation of the generator tool to validate some of our CoVO classification algorithms

­ Desired skills:

­ Programming (C or Java), algorithm design, graph theory, simulations

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Security and SDN

Potential internship

1. Trusted path computation and enforcement in SDN

­ Context: support security and sovereignty policies for the transfer of sensitive data

­ Expected realizations:

­ Specification/design of a SDN-based network application for trusted-path

­ Implementation on a SDN controller (e.g., OpenDaylight)

­ Experimentation on a SDN platform (with OpenFlow physical switches and Open vSwitch virtual

switches)

­ Desired skills:

­ Knowledge about SDN

­ Knowledge about Open vSwitch or OpenDaylight

• General questions:

­ SDN/NFV in the RES master ?

­ Practice of Open vSwitch / OpenDaylight ?

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IP Transport

Intelligent Optical Networks – Internship proposal

1. Leveraging monitoring information to design optical networks

­ Context: data mining in optical networks

­ Novel optical network design techniques based on the collection of information during network

operation to anticipate any performance fluctuation.

­ Objective: decrease network design cost through the reduction of various margins with better

optical network dimensioning.

­ Expected realizations:

­ Set up a network simulator that mimics optical network monitoring functions

­ Use the monitoring data to extract key features about the network physical layer

­ Improve the prediction of the network performance.

­ Desired skills:

­ Analytical skills: linear algebra, probabilities.

­ Coding: Java or Matlab.

­ Background in data mining / big data.

­ Background in telecommunication networks would be a plus, but is not mandatory.

­ Background in optical communication would be a plus, but is not mandatory.

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1. Alcatel-Lucent Bell Labs in brief

2. Some researches in networking

3. Some researches in mathematics for networks

4. Conclusion

OUTLINE

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1. Alcatel-Lucent Bell Labs in brief

2. Some researches in networking

3. Some researches in mathematics for networks

4. Conclusion

OUTLINE

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