The document discusses data storage units and sizes. It notes that 1 byte = 8 bits, and defines kilobytes, megabytes, gigabytes, terabytes, petabytes, exabytes, zettabytes. It states that global IP traffic grew from 15 exabytes per month in 2009 to 64 exabytes per month in 2014, and the number of internet devices will grow from 5 billion in 2010 to 22 billion in 2020. Storage needs are increasing exponentially and one zettabyte is equal to a trillion gigabytes.

2.  1 byte = 8 bits = 1 character
 1 kilobyte = 1024 bytes
 1 megabyte = 1,000,000 bytes
 1 gigabyte = 1000 mb
 1 terabyte = 1000 gb
 1 petabyte = 1000 tb
 1 exabyte = 1000 petabytes
 1 zetabyte = 1000 exabytes
648,000 bytes / .648mb
480Page Book
JPEG Photo @ 1600 x 1200
375,000 bytes
2

3. Growing by a Factor of 44x
One Zettabyte (ZB) = 1 trillion gigabytes
2009
0.8 ZB
2020 = 35 ZB
Source: IDC Digital Universe Study, sponsored by EMC, May 2010

4.  Global IP traffic 2009 to 2014
 15 exabytes per month in 2009
 64 exabytes per month in 2014
 2010: 5 billion internet attached devices
 2020: 22 billion internet attached devices
 Device Affordability and Portability
 iPad: 4 million shipped in August 2010; 87 million iPod
touch / iPhones in Jul 2010
Vanderbilt I n f o r m a t i o n T e c h n o l o g y S e r v i c e s 4

5. Anything, Anywhere, Anytime on Any Device 5

6.  2004  2010
 180mb/s Internet  1,500 mb/s Internet
 622 mbps Academic bandwidth  10,000 mb/s Academic bandwidth
 27,370 telephones  35,127 telephones
 7,757 cell phones  35,137 cell phones
 187 million emails ▪ 3,465 VU Billed
 86,000+ user accounts
 16.7 million authentications per day
 939 million emails
 Average daily Mac address connections grew from 15,000 to 20,477 ( 36%)
 Wireless Access Points grew from 450 to 1,666 ( 270%)
 Number of Wireless Users grew from 633 to 6,800 (1,037%)
 Managed Video streaming events grew from 3 (2004) to 172 (2009) (5,633%)
 Number of IP Telephony terminals grew from 0 to 2,618
Anything, Anywhere, Anytime on Any Device 6

7. Unit of
Description Measure 2008* Current % Change Duration
Possible Attack Events Millions 9 95 972% Yearly
Security Events units 949 21,093 2,123% Yearly
E-Discovery Events units 57 121 112% Yearly
External Complaints units NA 3,089 Yearly
BOTs Active units NA 224 Daily
BOTS Total Detected units NA 3,114 Yearly
Google Traffic Gigabytes NA 10,205 Monthly
Facebook Traffic Gigabytes NA 201 Monthly
Twitter Traffic Gigabytes NA 61 Monthly
Hotmail Traffic Gigabytes NA 28 Monthly
MySpace Traffic Gigabytes NA 4 Monthly
LinkedIn Traffic Gigabytes NA 3 Monthly
e-Harmony Traffic Gigabytes NA 1 Monthly
Note: -
NA - Not available
* - Earliest data from 2008

8. Vanderbilt I n f o r m a t i o n T e c h n o l o g y S e r v i c e s 8

9. Anything, Anywhere, Anytime on Any Device 9

10. Anything, Anywhere, Anytime on Any Device 10

11. Anything, Anywhere, Anytime on Any Device 11

12. Anything, Anywhere, Anytime on Any Device 12

13. Voice Data
NGN Unified
Collaboration
Video Collaboration
 Rich, converged collaboration through the unification of voice, video, web, and
collaboration tools
 Enhanced security, low latency, appropriate capacity
 Getting the right person, to the right resource, any where, anytime, on any device.
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14. 14

15. matt.hall@vanderbilt.edu 15

16.  Distributed knowledge communities that
collaborate and communicate across
disciplines, distances and culture
 High Performance Computing
 Data, Data Analysis, and Visualization
 Virtual Organizations for Distributed
Communities
 Learning and Workforce Development
matt.hall@vanderbilt.edu 16

17.  Science is bigger
 Scientific instruments
 collect more information at faster rates
 reside in different localities
 Experts do not reside in one geography
 Institutions house various experts in various
fields
 Dispersed world-wide expertise
matt.hall@vanderbilt.edu 17

18.  Multiple disciplines
 Many funding agencies
 Many institutions
 Many investigators
 Expensive, remote instruments
 Mass data generation
 Outside the realm of human
cognition
 Computation and visualization aid
understanding
matt.hall@vanderbilt.edu 18

19.  Dr. David Piston - Proteomics
 12 bit depth (which means 16 bit
storage for each) at 512 x 512
pixels and 120 frames per
second.
 This turns out to be almost
exactly 1 Gbit/sec.
 They are offering an increased
number of channels which would
be very useful for us, and that
would give 4 to 16 times higher
data rates.
 Of course, that isn’t currently
Zeiss Laser Scanning Microscope
practical for most things even if
we had unlimited band width and
storage, because we don’t have
• Scan resolution Up to 1536x1536 pixels, also the analysis tools to handle that
for several channels, continuously variable kind of data stream yet either!
• Scanning speed Variable up to 120 frames/s
with 512x512 pixels  “In May [2009], my lab has
• Data depth Selectable: 8 bits or 12 bits already taken 7.2 TBytes of data
on that system. . .” 19
matt.hall@vanderbilt.edu

20. matt.hall@vanderbilt.edu 20

21.  Brandeis University (1985)  University of California, Santa Barbara (1995)
 Brown University (1933)  The University of Chicago (1900)
 California Institute of Technology (1934)  University of Colorado at Boulder (1966)
 Carnegie Mellon University (1982)  University of Florida (1985)
 Case Western Reserve University (1969)  University of Illinois at Urbana-Champaign (1908)
 Columbia University (1900)  The University of Iowa (1909)
 Cornell University (1900)  The University of Kansas (1909)
 Duke University (1938)  University of Maryland, College Park (1969)
 Emory University (1995)  University of Michigan (1900)
 Harvard University (1900)  University of Minnesota, Twin Cities (1908)
 Indiana University (1909)  University of Missouri-Columbia (1908)
 Iowa State University (1958)  University of Nebraska-Lincoln (1909)
 The Johns Hopkins University (1900)  The University of North Carolina at Chapel Hill (1922)
 Massachusetts Institute of Technology (1934)  University of Oregon (1969)
 McGill University (1926)  University of Pennsylvania (1900)
 Michigan State University (1964)  University of Pittsburgh (1974)
 New York University (1950)  University of Rochester (1941)
 Northwestern University (1917)  University of Southern California (1969)
 The Ohio State University (1916)  The University of Texas at Austin (1929)
 The Pennsylvania State University (1958)  University of Toronto (1926)
 Princeton University (1900)  University of Virginia (1904)
 Purdue University (1958)  University of Washington (1950)
 Rice University (1985)  The University of Wisconsin-Madison (1900)
 Rutgers, The State University of New Jersey (1989)  Vanderbilt University (1950)
 Stanford University (1900)  Washington University in St. Louis (1923)
 Stony Brook University-State University of New York (2001)  Yale University (1900)
 Syracuse University (1966)
 Texas A&M University (2001)
 Tulane University (1958)
 The University of Arizona (1985)
 University at Buffalo, The State University of New York (1989)
 University of California, Berkeley (1900)
 University of California, Davis (1996)
 University of California, Irvine (1996)
 University of California, Los Angeles (1974)
 University of California, San Diego (1982)
matt.hall@vanderbilt.edu 21

22.  NIH provides leadership and financial support
to researchers in every state and throughout
the world
 over 325,000 extramural scientists
and research personnel
 at more than 3,000 institutions
nationwide.
matt.hall@vanderbilt.edu 22

23. matt.hall@vanderbilt.edu 23

24. matt.hall@vanderbilt.edu 24

25.  Capture
 Lecture
 Events
 Locations
 Surveillance
 Dissemination
 Uploads content
matt.hall@vanderbilt.edu 25

26.  Netflix / Youtube
 Televisions go Digital
 Computers go TV!
 Social and Chat
 Gaming
matt.hall@vanderbilt.edu 26

27. Solution:
10G upgrade, VRF
implementation,
and moving
Control Point
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28. 28

29. Right Person, Right Place, Right Time, Right Role
Common Access Point
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