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Next Generation Network @ VU Abridged Oct. 2010

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Overview of the drivers behind the need for a next generation network @ Vanderbilt University.

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Next Generation Network @ VU Abridged Oct. 2010

  1. 1.  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 2 JPEG Photo @ 1600 x 1200 375,000 bytes 480PageBook 648,000bytes/.648mb
  2. 2. 2009 0.8 ZB Growing by a Factor of 44x One Zettabyte (ZB) = 1 trillion gigabytes Source: IDC Digital Universe Study, sponsored by EMC, May 2010 2020 = 35 ZB
  3. 3.  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
  4. 4. Anything,Anywhere,Anytime on Any Device 5
  5. 5.  2010  1,500 mb/s Internet  10,000 mb/s Academic bandwidth  35,127 telephones  35,137 cell phones ▪ 3,465VU Billed  86,000+ user accounts  16.7 million authentications per day  939 million emails  2004  180mb/s Internet  622 mbps Academic bandwidth  27,370 telephones  7,757 cell phones  187 million emails Anything,Anywhere,Anytime on Any Device 6  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
  6. 6. Description Unit of 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
  7. 7. 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
  8. 8. Anything,Anywhere,Anytime on Any Device 9
  9. 9. Anything,Anywhere,Anytime on Any Device 10
  10. 10. Anything,Anywhere,Anytime on Any Device 11
  11. 11. Anything,Anywhere,Anytime on Any Device 12
  12. 12. 13  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. Voice Data Video Collaboration NGN Unified Collaboration
  13. 13. 14
  14. 14. matt.hall@vanderbilt.edu 15
  15. 15.  Distributed knowledge communities that collaborate and communicate across disciplines, distances and culture  High Performance Computing  Data, Data Analysis, andVisualization  Virtual Organizations for Distributed Communities  Learning andWorkforce Development matt.hall@vanderbilt.edu 16
  16. 16.  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
  17. 17.  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
  18. 18. matt.hall@vanderbilt.edu 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 practical for most things even if we had unlimited band width and storage, because we don’t have the analysis tools to handle that kind of data stream yet either!  “In May [2009], my lab has already taken 7.2TBytes of data on that system. . .” Zeiss Laser Scanning Microscope • Scan resolution Up to 1536x1536 pixels, also for several channels, continuously variable • Scanning speed Variable up to 120 frames/s with 512x512 pixels • Data depth Selectable: 8 bits or 12 bits
  19. 19. matt.hall@vanderbilt.edu 20
  20. 20.  Brandeis University (1985)  Brown University (1933)  California Institute of Technology (1934)  Carnegie Mellon University (1982)  Case Western Reserve University (1969)  Columbia University (1900)  Cornell University (1900)  Duke University (1938)  Emory University (1995)  Harvard University (1900)  Indiana University (1909)  Iowa State University (1958)  The Johns Hopkins University (1900)  Massachusetts Institute of Technology (1934)  McGill University (1926)  Michigan State University (1964)  New York University (1950)  Northwestern University (1917)  The Ohio State University (1916)  The Pennsylvania State University (1958)  Princeton University (1900)  Purdue University (1958)  Rice University (1985)  Rutgers, The State University of New Jersey (1989)  Stanford University (1900)  Stony Brook University-State University of New York (2001)  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  University of California, Santa Barbara (1995)  The University of Chicago (1900)  University of Colorado at Boulder (1966)  University of Florida (1985)  University of Illinois at Urbana-Champaign (1908)  The University of Iowa (1909)  The University of Kansas (1909)  University of Maryland, College Park (1969)  University of Michigan (1900)  University of Minnesota, Twin Cities (1908)  University of Missouri-Columbia (1908)  University of Nebraska-Lincoln (1909)  The University of North Carolina at Chapel Hill (1922)  University of Oregon (1969)  University of Pennsylvania (1900)  University of Pittsburgh (1974)  University of Rochester (1941)  University of Southern California (1969)  The University of Texas at Austin (1929)  University of Toronto (1926)  University of Virginia (1904)  University of Washington (1950)  The University of Wisconsin-Madison (1900)  Vanderbilt University (1950)  Washington University in St. Louis (1923)  Yale University (1900)
  21. 21.  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
  22. 22. matt.hall@vanderbilt.edu 23
  23. 23. matt.hall@vanderbilt.edu 24
  24. 24.  Capture  Lecture  Events  Locations  Surveillance  Dissemination  Uploads content matt.hall@vanderbilt.edu 25
  25. 25.  Netflix /Youtube  Televisions go Digital  Computers goTV!  Social and Chat  Gaming matt.hall@vanderbilt.edu 26
  26. 26. 27 Solution: 10G upgrade,VRF implementation, and moving Control Point
  27. 27. 28
  28. 28. 29 Common Access Point Right Person, Right Place, Right Time, Right Role

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