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1 How the Internet will look like in a near future? (De quoi sera fait l’Internet de demain?) C. Pham http://www.univ-pau.fr/~cpham UPPA, France LIUPPA January, 2006

How the Internet will look like in a near future? (De quoi sera fait l’Internet de demain?)

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How the Internet will look like in a near future? (De quoi sera fait l’Internet de demain?). C. Pham http://www.univ-pau.fr/ ~cpham UPPA, France. LIUPPA January, 2006. Small is beautiful. Bigger is better. This talk is about…. ?. Computational Grids. Clusters. Super Computer. - PowerPoint PPT Presentation

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Page 1: How the Internet will look like in a near future? (De quoi sera fait l’Internet de demain?)

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How the Internet will look like in a near

future? (De quoi sera fait l’Internet de demain?)

C. Phamhttp://www.univ-pau.fr/~cpham

UPPA, France

LIUPPAJanuary, 2006

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Small isbeautiful

This talk is about…

PCWorkStation

ClustersSuperComputer

ComputationalGrids

Pre-PC

?

Introduction

Bigger is

better

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It began with the need for communication…

Introduction

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The big-bang of the Internet

Introduction

Internet-1

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Towards all IP

QuickTime™ et undécompresseur TIFF (LZW)sont requis pour visionner cette image.

From Jim KuroseIntroduction

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A whole new world for IP

Introduction

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1st revolution:optical transmission

Introduction

2x / 18 months

QuickTime™ et undécompresseur TIFF (LZW)

sont requis pour visionner cette image.

2x / 7 months

Source « Optical fibers for Ultra-Large Capacity Transmission » by J. Grochocinski

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DWDM, bandwidth for free?

DWDM: Dense Wavelength Division Multiplexing

< 0,1 nm

2Gbps

10Gbps

Tbps fibers are available!Introduction

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The information highways

Truck of tapes

Example from A. Tanenbaum, slide from Cees De Laat

1600 Gbyte/s

5PByteDWDM

32040Gbps

Introduction

NEWS of Dec 15th, 2004

A throughput of 1.28 Tbits/s has been achieved on a 430kms regular monomode fiber between France Telecom and Deutsch Telecom using 8 DWDM channels (EU project TOPRATE)

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Fibers everywhere?

offices

campus

residentials

Network Provider

metro ring

Network Provider

FTTHFTTCFTTP

Core40+Gbps

InternetDataCenter

2.5Gbps

1GbpsGigaEth

10Gbps

10Gbps2.5Gbps

Introduction

xDSLWiFiWiMax…

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The new networks

vBNSAbileneSUPERNETDRENCA*NETGEANTDATATAG…much more to come!

New Networks

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GEANT

New Networks

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Computational grids

user application

from Dorian Arnold: Netsolve Happenings

1PFlops

Virtually unlimited resources

New Networks

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High-Energy Physics:Fundamental particles of matter,Mass studies…

A large variety of applications

Astrophysics:Black holes, neutron stars, Supernovae…

Mechanics:Fluid dynamic,CAD, simulation.

Chemistry&biology:Molecular simulations, Genomic simulations…

New Networks

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Wide-area interactive simulations

human in the loopflight simulator

airport simulator

display computer-basedplane simulator

INTERNET

Interactive applicationsrequire low latencies

(x,y,z,t)

New Networks

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Internet-1 & Internet-2

The network is a transport network, only a transport network!

Processing inside the network is limited to tasks for performing the transport itself

End-to-end is the main way of operation

Links are getting faster, host are getting more and more powerful

New Networks

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Hiding behind the Net!

The Internet scales because IP assumes almost nothing!

ON THE INTERNET NOBODY KNOWS YOU’RE A DOG!

Borrowed from N. Gershenfeld

New Networks

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The outsider:active/programmable

networks

Opens hardware to users/operators Allows customized processing within network nodes

Breaks the end-to-end paradigm of the Internet

Have high potential for customization of services

Router-assisted contributions feedback aggregation cache of data to allow local recoveries subcast early lost packet detection …

Sure, I can help

New Networks

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Leading applications

Multimedia communicationOn-the-fly adaptation of contentsNew service deployment

Multicast and group managementTopology managementControl feedbacks

Network securityP2PQuality of Service & SLAsTransport protocols

Traditionally performed with end-to-end mechanisms

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source

receiver_1

receiver_3

data,seq=88

receiver_2

rx=3, ACK=88

rx=1&2, ACK=88

assistancenode

rx=1, AC

K=88

rx=2, ACK=88

ACK aggr.

source

receiver_1

receiver_3

receiver_2rx=1&2, NAK=88

assistancenode

rx=1, NA

K=88

rx=2, NAK=88

NAK suppr.

data,seq=88

Ex: feedback aggregation

•ACK aggregation

•NAK suppression

New Networks

224.2.0.1

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2nd revolution:Wireless Networks

Access PointAccess Point

New Networks

WiFi, WiMaxBlueTooth, ZigBee, IrDA…GSM, GPRS, EDGE, UMTS, 4G,…

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Ad-hoc (wireless) networks

Mobile ad-hoc networks (MANETS) are networks built on-the-fly, no need for infrastructure

New Networks

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Future will be wireless!

True for end-users!Wireless hot-spots provide ubiquitous access to the Internet

Lots of high-value added servicesE-mail and Internet surfing when travelling

High-quality multimedia streaming in hospitals, nomadic applications

Easy updates of advertising panelsMonitoring of elderly peopleMuch more to come!!!

New Networks

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Now, what’s up?Internet-1Internet-2Internet-3

0

Internet-0:the Internetof Things

Borrowed from N. Gershenfeld

New NetworksON THE INTERNET NOBODY KNOWS YOU’RE A LIGHT BULB!

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Internet Hosts

1974 2004

Borrowed from N. GershenfeldNew Networks

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IP on a simple key?

New Networks

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Ambient Networking

From « The Internet of Thing », Scientific American, Oct 2004

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What’s missing?

Between the PDA and the RFID tag of Internet-0, is the wireless autonomous sensor New Networks

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What Is A Sensor Node? Sensor nodes could monitor a wide variety of ambient conditions that include the following: temperature, humidity, vehicular movement, lightning condition, pressure, soil makeup, noise levels, the presence or absence of certain kinds of objects, mechanical stress levels on attached objects, and the current characteristics such as speed, direction, and size of an object.

Sensor nodes can be used for continuous sensing, event detection, event ID, location sensing, etc.

Sensor Networks

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Traditional sensing applications

Sensor Networks

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Traditional sensing applications (contd.)

Borrowed from www.iseo.fr

Environmental monitoring• air• water

Environmental monitoring• air• water

Sensor Networks

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Radio Transceiver

Data Storage

Sensing Module

Battery PowerProcessor

Anatomy of a Sensor Node

Wireless autonomous sensor

In general: low cost, low power (the battery may not be replaceable), small size, prone to failure, possibly disposable

Role: sensing, data processing, communication

Sensor Networks

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Berkeley Motes

Size: 4cm4cm CPU: 4 MHz, 8bit 512 Bytes RAM, 8KB

ROM Radio: 900 MHz,

19.2 Kbps, ½ duplex Serial

communication Range: 10-100 ft. Sensors:

Acceleration, temperature, magnetic field, pressure, humidity, light, and RF signal strength

Sensor Networks

BatteryPanasonic CR2354

560 mAh

MICA2DOT

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Berkeley Motes (contd.)

Each Mote has two separate boards A main CPU board with

radio communication circuitry

A secondary board with sensing circuitry

Decouples sensing hardware from communication hardware

Allows for customization since application specific sensor hardware can be plugged-on to the main board

Sensor Networks

MICAz

MICA2

Sensing boards

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Wireless Sensors Networks

1 wireless sensor is better than none!2 wireless sensors is better!!3 wireless sensors is even better!!!4 wireless sensors is much more better!!!!

…10000 wireless sensors is incredibly better!!!!!

10001 wireless sensor is much more incredibly better!!!!!!!!

Sensor Networks

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Very dense network (spatial density): what level of addressing?

Can monitor “up close” and with very tight time scale (temporal density: from μs to days)

Possibly random deployment due to inaccessible terrain need for self-organizing capabilities

Mobility is typically low, but topology could be dynamic

A Sensor Network(remote base-station)

Base-station

Wireless node

A Sensor Network(base-station at center)

Sensor Networks

Salient Features

Borrowed from C. Rosenberg

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Salient Features

Finite battery life: energy-efficiency is the prime issue Many-to-one communication rather than many-to-many Need to ensure sensing coverage of the area of interest,

connectivity, and satisfy tolerance limits on latency

Base-station

Wireless node

Many-to-one data flow (Sensor Network) Many-to-many data flow (Ad-hoc Network)

Sensor Networks Borrowed from C. Rosenberg

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Sensor versus Ad-hocSensor Network Ad-hoc Network

1. A sensor network has an objective or a task

1. An ad-hoc network has no specific task except communication

2. Nodes collaborate to achieve the objective

2. Individual nodes have their own objectives

3. Many-to-one data flow 3. Any-to-any data flow

4. Very high number of nodes, so each node may not have an id

4. Fewer number of nodes, each with a unique identifier

5. Energy-efficiency is extremely important

5. Node throughput is of prime importance

6. Mainly use broadcast communications

6. Mainly use point-to-point communications

Sensor Networks Borrowed from C. Rosenberg

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New sensor applications

environmental

On-the-fly deployment of environmental monitoring’s network

St-Jean de Luz

Sensor Networks

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New sensor applications

disaster relief - security

Rapid deployment of fire detection systems in high-risk places

Real-time organization and optimization of rescue in large scale disasters

Sensor Networks

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Inter-disciplinary

Radio Transceiver

Data Storage

Sensing Module

Battery PowerProcessor

Radio communicationAntennasMedium Access Control

Microelectronics

Computer scienceSoftware engineeringProtocols

Battery technologyPower management

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For computer scientists

Software & OSDesign of software architecture

Flexibility, adaptativityCommunication

Addressing, Routing, SecurityReliability, congestion control

Management & administrationService deploymentComposability, reconfigurability

Sensor Networks

SCALABILITY

POWER MNGT

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What can we address within the LIUPPA lab?

Software engineering New component-based OS Automatic generation of customized components

Networking Optimized transport protocols Multicast & broadcast

Multimedia and adaptive applications Quality of Service Management & Service deployment

Security Intrusion detection, authentication, isolation

Sensor Networks

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Software engineering

Research have addressedOperating Systems for constrained resources

Formal approaches to prove developmentFuture research directions are

Specialized support to design WSN applications• Unified Model for Sensors & Software Components• Unified Data and flow Model

Middleware for very low resourced environment• High-level architecture (abstraction, agent, components)

• Self-adaptation/reconfiguration capabilities

Sensor Networks

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Networking

Research have addressedMedium access control protocols, broadcast, radio interface, power management

Routing, reachability, topology control, naming

Future research directions areCommunication architecture designHigh-level communication protocolsReliability & Congestion controlMulticast protocols, data-aware protocols

Sensor Networks

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Multimedia and adaptive applications

QoS for MM applications is hardly correlated to the fluidity and synchronization of information and depends on the mobility.

The use of sensors will Help for previous itemsProvide context informations for new applications

Applications will adapt their local context according to the external context (environment)

Sensor Networks

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A day in the life of a computer scientist is

2012

Conclusions

>Find PhD!>Find food!

PolynesianBroadbandCountry

I’m a lonesomescientist…