Big Data Introduction

1. Evolution in Coming 10 Years:Evolution in Coming 10 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 2nd Oct

2. Outline
Big Data Introduction
Characteristics of Big Data
Challenges
Big Data Transmission Network
Big Data Network Future
Q/A

3. 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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4. 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.

5. 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

6. 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

7. Characteristics of Big Data:
3-Speed (Velocity)
Data is begin generated fast and need to be
processed fast
Online Data Analytics
Late decisions  missing opportunities
Examples
 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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8. Challenges
How to transfer Big Data?

9. 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.

10. 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.

11. Limitations of Current Networks
11
Switches

12. 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
Operating
System
Operating
System
Operating
System
Operating
System
Operating
System
App App App
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13. 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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14. Q & A
Thank You for your attention!
Q/A