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Evolution in Coming 10 Evolution in Coming 10 Years: Years: What's the Future of Network? What's the Future of Network? - - Big Data- Big Changes in the Network Waseda GITS Nakazato lab WangHuan 2013 2 nd Oct

Evolution in Coming 10 Years: What's the Future of Network? - Evolution in Coming 10 Years: What's the Future of Network? - Big Data- Big Changes in the

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Evolution in Coming 10 Evolution in Coming 10 Years:Years:

What's the Future of Network? What's the Future of Network?

-- Big Data- Big Changes in the Network

Waseda GITS Nakazato labWangHuan

2013 2nd Oct

Outline

Big Data IntroductionCharacteristics of Big Data ChallengesBig Data Transmission NetworkBig Data Network FutureQ/A

Who’s Generating Big Data

Social media and networks(all of us are generating data)

Scientific instruments(collecting all sorts of data)

Mobile devices (tracking all objects all the time)

Sensor technology and networks(measuring all kinds of data)

The progress and innovation is no longer hindered by the ability to collect data But, by the ability to manage, analyze, summarize, visualize, and discover knowledge

from the collected data in a timely manner and in a scalable fashion

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How much data?Google processes 20 PB a day (2008)Wayback Machine has 3 PB + 100 TB/month (3/2009)Facebook has 2.5 PB of user data + 15 TB/day

(4/2009) eBay has 6.5 PB of user data + 50 TB/day (5/2009)CERN’s Large Hydron Collider (LHC) generates 15

PB a year

640K ought to be enough for anybody.

Characteristics of Big Data: 1-Scale (Volume)

Data Volume 44x increase from 2009 2020 From 0.8 zettabytes to 35zb

Data volume is increasing exponentially

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Exponential increase in collected/generated data

Characteristics of Big Data: 2-Complexity (Varity)

Various formats, types, and structures

Text, numerical, images, audio, video, sequences, time series, social media data, multi-dim arrays, etc…

Static data vs. streaming data A single application can be

generating/collecting many types of data

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To extract knowledge all these types of data need to linked together

To extract knowledge all these types of data need to linked together

Characteristics of Big Data: 3-Speed (Velocity)

Data is begin generated fast and need to be processed fast

Online Data AnalyticsLate decisions missing opportunitiesExamples

E-Promotions: Based on your current location, your purchase history, what you like send promotions right now for store next to you

Healthcare monitoring: sensors monitoring your activities and body any abnormal measurements require immediate reaction

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Challenges

How to transfer Big Data?

Big Data Transmission

Data transmission with high-value-per-bit SONET/SDH (Synchronous Optical Network)

Lower-cost-per bit technologies Carrier Ethernet.

Networking switching is moving rapidly to 10-40 Gbps

Big data requires big networks.

Big Data- Network

However Ethernet on its own is not sufficient to handle the torrent of Big Data.

Network architectures also need to change to become flatter and more flexible.

Basic idea:Push computing to data, not pushing

data to computing.

Limitations of Current Networks

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Switches

Old ways to configure a network

Limitations of Current Networks

Specialized Packet Forwarding Hardware

App App App

Specialized Packet Forwarding Hardware

App App App

Specialized Packet Forwarding Hardware

App App App

Specialized Packet Forwarding Hardware

App App App

Specialized Packet Forwarding Hardware

OperatingSystem

OperatingSystem

OperatingSystem

OperatingSystem

OperatingSystem

App App App

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An OS for Networks

Towards an Operating System for Networks

Global Network View

Protocols Protocols

Control via forwarding interface

Network Operating System

Control Programs

Software-Defined Networking (SDN)

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Q & A

Thank You for your attention!Q/A