Internet2: Accelerating the Development of Tomorrow

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Internet2 Accelerating the Development of
Tomorrows InternetAna Preston Program
Manager, International Relationsapreston_at_internet
2.edu14 March 2003Dia Virtual CUDI
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Internet2 Mission and Goals

• Develop and deploy advanced network applications
  and technologies, accelerating the creation of
  tomorrows Internet.
• Enable new generation of applications
• Create leading edge RE network capability
• Transfer technology and experience to the global
  production Internet

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Internet2 University Leadership

• 200 university members with commitments from
  their Presidents/Chancellors/Rectors
• 60 corporate members
• Over 40 Affiliate Members
• Government Research Agencies
• Internet2/U.S. Government separate but
  interdependent
• Internet2 International Partner Program

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Internet2 Universities202 University Members,
January 2003
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Internet2 CUDI partnership

• Internet2 CUDI Partnership
• via Memorandum of Understanding
• In place since May 1999

• Abilene CUDI Peering
• 400 Mbps of connectivity (via California and
  Texas)
• Strong and increasing Internet2 CUDI
  collaborations

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International Partnerships

• Ensure global interoperability
• of the next generation of Internet technologies
  and applications
• Enable global collaboration
• in research and education providing/promoting the
  development of an advanced networking environment
  internationally
• Build effective partnerships with organizations
• similar goals/objectives
• similar constituencies
• Mechanism Memoranda of
• Understanding

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Internet2 International Partners
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Partners in the Americas
Canada
México
Venezuela
Chile
Argentina
Brazil
Costa Rica
CRNet

• Discussions in progress
• Peru
• Colombia
• Uruguay
• Bolivia
• Guatemala
• Cuba

Ecuador
Panamá
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Present - Latin America

• AMPATH Florida International University (Global
  Crossing)
• currently AR, BR (2), CL -gt 45 Mbps
• point to point from Miami
• Initial boost for Advanced Networking in LA
• CLARA Cooperacion Latino Americana de Redes
  Avanzadas
• Association of NRENs in LA open to all LA
  Countries
• Connections regional and international
• Major connectivity between AR, BR, CL, MX (at
  least 45 Mbps) others initially 10?45 Mbps
• Large pipe to Europe (at least 155 Mbps)

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Beyond physical connections CLARA

• CLARA responds to long-standing need for
  coordination between LA NRENs.
• Builds on trust-building already carried out
  between major partners
• Offers support for NREN building in other LA
  countries by provision of support and intl
  connectivity

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Applications and Engineering
Applications
Motivate
Enables
Engineering
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Internet2 Areas of Work

• Advanced Applications
• Middleware
• Network Engineering
• End to End Performance
• Advanced Network Infrastructure
• Partnerships and Outreach

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How Internet2 works

• Universities commit
• Engineering lead connect university to rest of
  Internet2 community, deploy new technologies
• Applications lead support apps development on
  campus
• Middleware architect work with I2MI to implement
  middleware infrastructure
• Working groups
• Of expert/interested individuals within community
• Chaired by volunteer (sometimes by staff)
• Staff support
• Projects/Initiatives
• Where collective resources needed
• E.g. Commons Initiative, End to End Performance
  Initiative

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Internet2 Network Architecture
GigaPoP N
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Abilene Network Core Map, February 2003
Partners Qwest, Cisco, Juniper, Nortel, Indiana
University, Interent2

• IP-over-DWDM (OC-192c) and IP-over-SONET OC-48c
  Backbone

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Internet2 Backbone Network(s)

• Have had two backbones in the past
• vBNS (NSF supported, run by MCI Worldcom)
• Abilene (Internet2 member supported, run by
  UCAID)
• Abilene is current backbone network
• 11 core router nodes
• Moving to 10Gbps core backbone links
• Connections to the backbone at 622mbps to 10Gbps
• Most universities aggregate connections through
  gigapops or regional aggregator networks
• Native IPv6
• Native multicast
• Measurement tools and architectures

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Abilene Network Logical Map
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Is that fast!?
Modem lt 56 Kbps Cable 256 Kbps T1 1.54
Mbps OC-1 51.85 Mbps
OC-12 622.08 Mbps OC-48 2.488 Gbps OC-192
9.952 Gbps
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Abilene International Peering (January 2003)
09 January 2002
Last updated 17 January 2003
Pacific Wave AARNET, APAN/TransPAC, CAnet,
TANET2
STAR TAP/Star Light APAN/TransPAC, CAnet, CERN,
CERNET/CSTNET/NSFCNET, NAUKAnet, GEMnet, HARNET,
KOREN/KREONET2, NORDUnet, SURFnet, SingAREN,
TANET2
NYC GEANT, HEANET, NORDUnet, SINET, SURFnet
SNVA GEMNET, SingAREN, WIDE(v6)
L.A. UNINET
OC12
AMPATH ANSP, REUNA2, RNP2, RETINA (REACCIUN-2)
San Diego (CALREN2) CUDI
El Paso (UACJ-UT El Paso) CUDI

• ARNES, ACONET, BELNET, CARNET, CERN, CESnet,
  CYNET, DFN, EENet, GARR, GRNET, HEANET, IUCC,
  JANET, LATNET, LITNET, NORDUNET, RENATER,
  RESTENA, SWITCH, HUNGARNET, GARR-B, POL-34, RCST,
  RedIRIS, SANET, SURFNET
• WIDE/JGN, IMnet, CERNet/CSTnet,/NSFCNET,
  KOREN/KREONET2, SingAREN, TANET2, ThaiSARN

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Networks reachable via Abilene by country
Europe-Middle East
Asia-Pacific
Americas
Argentina (RETINA) Brazil (RNP2/ANSP) Canada
(CAnet4) Chile (REUNA) Mexico (CUDI) United
States (Abilene, vBNS)
Austria (ACOnet) Belgium (BELnet) Croatia
(CARnet) Czech Rep. (CESnet) Cyprus
(Cynet) Denmark (UNI-C) Estonia (ESnet) Finland
(FUnet) France (RENATER) Germany (G-Win) Greece
(GRnet) Hungary (HUNGARnet) Iceland
(ISnet) Ireland (HEANET) Israel (IUCC) Italy
(GARR) Latvia (LATNET) Lithuania (LITNET)
Luxembourg (RESTENA) Netherlands (SURFnet) Norway
(UNINETT) Poland (PCSS) Portugal (FCCN) Romania
(RNC)Russia (RIPN) Slovakia (SANET) Slovenia
(ARNES) Spain (RedIris) Sweden (SUNET) Switzerland
(SWITCH) United Kingdom (JANET) CERN
Australia (AARNET) China (CERNET, CSTNET,
NSFCNET) Hong Kong (HARNET) Japan (SINET,
WIDE, IMNET, JGN) Korea (KOREN,
KREONET2) Singapore (SingAREN) Philippines
(PREGINET) Taiwan (TANET2) Thailand (UNINET,
ThaiSARN)
More information about reachable networks at
www.internet2.edu/abilene/peernetworks.html Also,
see www.startap.net
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Americas Connectivity(January 2003)
Country Network BW (Mbps) Interconnect
Canada CAnet 3000 Star Light / Pacific Wave
Mexico RED-CUDI 155 / 100 Tijuana-San Diego (CALREN2) / Juarez - El Paso (UTEP)
Chile REUNA 45 AmPATH
Brazil RNP2 45 AmPATH
ANSP 45 AmPATH
Argentina RETINA2 45 AmPATH
Gemini/NOAO (funding from NSF) 10 SFGP
Puerto Rico (Arecibo Observatory) To Abilene-U.S. (funding from NSF) 45 SFGP
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Internet2 Areas of Work

• Advanced Applications
• Middleware
• Network Engineering
• End to End Performance
• Advanced Network Infrastructure
• Partnerships and Outreach

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The new science e-science

• Science used to about test tubes, wet labs and
  big instruments
• But increasingly science is moving to networks
  and computers
• Science is now longer bound by bricks and mortar
  or geography
• Recognition that more and more science is network
  and computationally based
• A problem is broken into many small tasks then
  distributed to thousands of PCs world wide when
  PCs are not busy they work on the distributed
  computation endpoints work on solving a problem
  or a part of it

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Attributes of Advanced Apps

• Provide qualitative and quantitative improvements
  in how we conduct research and engage in teaching
  and learning
• Common attributes
• Remote instrumentation and interactive
  collaboration
• Distributed data storage and data mining
• Large-scale, multi-site computation
• Real-time access to remote resources
• Dynamic data visualization
• Shared virtual reality
• Cover a broad range of fields and activities
• advanced apps leverage technology and implement
  capabilities not possible without Abilene

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Remote Instrumentation and Data Analysis

• Large scientific projects increasingly draw on
  resources from many countries.
• Scientists can use high-performance networks for
  remote instrument control and to pool computing
  resources for data analysis, improving ease of
  use and lowering costs.
• Latency, Loss and Jitter (network quality) are
  more important than pure bandwidth
• Instrumentation controllable without local
  intervention
• Individual sites will have multiple data sources
  streaming data that will interact with the remote
  instrument
• Data will be made available both in real time
  and via storage

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Remote Electron Microscope
Application Examples Remote Instrumentation

• Provide wider access to limited resource
• Multiple locations can leverage investment in
  hardware
• Improves teaching and learning
• Provide access to tools that are prohibitively
  expensive, fragile, etc. for general use through
  safeguards in the interface
• Create a dynamic resource
• Share equipment
• Dynamically analyze data with remote collaborators

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Wired EMS Vehicles
Application Examples Remote Instrumentation

• Using high quality video and physiological
  telemetry
• Creating adequate level of situational awareness
• Physicians tele-mentor emergency medical
  personnel onboard the ambulance
• Transit time is no longer wasted
• Sensors transmit information back to central base
• Combining multiple technologies Advanced
  Networking (at base stations), Mobile WiFi
  (802.11a/b/g, military radio-data, etc.)

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Science and Engineering

• Astronomers trying to collect data about star
  from many different earth based antennae
• Data analysis 24x7 send data at 1Gb/s from over
  20 antennae located around the globe
• VLBI very long baseline interferometry
• Remote control of physical experiments to
  simulate earthquakes NEES Network for
  Earthquake Engineering Simulation

• Terabytes of data (1,000,000,000,000 or 1x1012)
• sensitivity of data and transfer challenges
• CERN (Switzerland) High Energy and Nuclear
  Physics groups

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Astronomy facilities
Application Examples Remote Instrumentation/Scien
ce and Engineering
The Gemini Observatory Twin Telescopes
An international collaboration (US, Australia,
U.K., Canada, Chile, Argentina, Brazil)
Mauna Kea, Hawaii, USA
Cerro Pachon, Chile

• Observers do not need to have physical contact
  with the equipment
• Data collection equipment is located in extreme
  environments
• Collaborators are spread across the globe

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Astronomy- eVLBI
Application Examples Science and Engineering

• Electronic Very Long Baseline Interferometry
• Multiple antennae from multiple physical
  locations
• Each antennae transmits data to a central
  correlation facility
• Previously recorded data to tape goal is to send
  all data dynamically over Abilene
• Data rates are projected at 1Gb/s per telescope
• Successfully tested between points (in the United
  States) at rates of 800 Mb/s

Interesting Successfully ran 788 Mbps sustained
test between sites in U.S. Working on prototype
experiment to test their ability to run data to
Europe and Japan.
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HENP
Application Examples Science and Engineering

• High Energy and Nuclear Physics
• Physicists has traditionally been one of the
  power users of all networks
• Generating Terabytes of data (1,000,000,000,000
  or 1x1012) per experiment from the CERN lab in
  Switzerland
• They are working on bulk data transfers that are
  extremely resistant to data loss
• VRVS, a video conferencing tool, was developed by
  the physics community

Interesting HENP is working on several protocols
that take advantage of parallel streams and good
neighbor practices (passive QOS)
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Grids

• Grids enable the new science
• Original motivation, and support, from high-end
  science and engineering
• Enable communities (virtual organizations) to
  share resources as they pursue common goals
• New applications enabled by the coordinated use
  of geographically distributed resources
• E.g., distributed collaboration, data access and
  analysis, distributed computing, instrumentation

• Persistent infrastructure for large scale
  computing problems
• Using distributed computing resources of
  schools, universities and research centers

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AccessGrid
Application Examples Digital Video and
Collaboration

• Multiple video streams are broadcast
  simultaneously (via TCP/IP multicast)
• Talking head video is supported by
  environmental streams from multiple cameras
• Video can be used for collaboration and as a way
  to store data
• Vendors are beginning to commercialize the
  technology

Interesting Currently over 125 AccessGrid nodes
are online around the world, including an InSors
node at the University of Michigan Business School
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Distance Education

• Exchanges Real-time interactions around the
  world new forms of collaboration
• Digital video H.323 to high fidelity video/audio
  (MPEG2)
• Optimized latency, audio/video synchronization

• Tele-presence environments
• Lifelong learning and collaboration

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Internet2 approach Applications Working Groups

• Health Sciences
• Veterinary Medicine
• Arts Humanities
• Non-tradl Theses
• Arts Performance
• High Energy and Nuclear Physics
• GIS

• Remote Instrumentation
• Voice over IP
• Digital Video
• Videoconferencing
• ResearchChannel
• Network Storage

apps.internet2.edu Distributed Applications
Database (NLANR)
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Dancing Beyond Boundaries
Application Examples Arts and Humanities

• Distance Collaborative Dance Performance at
  SC2001
• Hybrid performance
• Combining local and remote (Florida, Minnesota,
  Denver and Brazil) performances
• Synchronizing choreography across the continent
• Utilizing multiple audio and video streams

• Showcases
• Video and audio synchronization
• New forms of collaboration and interaction
• Leveraging technologies in traditional art forms

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Oklahoma Master Classes
Application Examples Arts and Humanities

• Master Classes
• University of Oklahoma
• Catering to the needs of musicians (not
  hobbyists)
• High fidelity video and audio via MPEG2
• Optimized for latency, audio/video
  synchronization
• Connecting Oklahoma with the New World Symphony
  in Miami, Florida
• Removing physical distance as the reason why a
  student and instructor cannot interact

• Showcases
• Distance Teaching and Learning
• Extending the reach of resources

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3D Brain Map
Application Examples Health Sciences

• Provides insight into brain functions in real
  time
• Very large multi-dimensional, multi-modal,
  time-varying data sets
• Patient, supercomputer and doctor do not need to
  be in the same location all data is transferred
  over the network
• Data fed directly from MRI scanner to analysis
  system
• Supercomputer analyzes data and creates
  visualization
• Visualization data transferred directly to
  researchers
• Real time visualization will aid in surgical
  planning and disease diagnosis

• Showcases
• Real-time data gathering and dynamic
  visualization
• GRID technologies
• End to end performance optimizations
• Dynamic visualization

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BIRN
Application Examples Health Sciences

• Biomedical Informatics Research Network
• Extremely large data sets and repositories
• Dynamically generate 3D visualizations from
  medical records
• Generating 36 Gbytes/day, so new models for
  search, retrieval and analysis will be necessary
• Concerned with data security, access control,
  anonymization
• and more mundane activities like weekly progress
  meetings

• Showcases
• Distributed data repositories
• GRID technologies
• Dynamic visualization

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Internet2 Areas of Work

• Advanced Applications
• Middleware
• Network Engineering
• End to End Performance
• Advanced Network Infrastructure
• Partnerships and Outreach

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Middlewaremiddleware.internet2.edu
Supporting Technologies

• Identity
• unique markers of who you are (person, machine,
  service, group)
• Authentication
• how you prove/establish that you are that
  identity
• Directories
• where an identitys basic chars. are kept
• Authorization
• what an identity is permitted to do
• Public Key Infrastructure (PKI)
• emerging tools for security services
• Shibboleth Project (inter-institutional,
  web-based authorization)

Apps
Advanced Network Services (Distributed Network
Middleware)
Advanced Physical Network Infrastructure
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Engineering Working Groups

• End to End Performance
• Technologies
• IPv6
• Measurement
• Multicast
• Quality of Service
• Routing
• Security
• Topology
• http//www.internet2.edu/working-groups.html

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End-to-End Performance Initiativee2epi.internet2.
edu

• To enable the researchers, faculty, students and
  staff who use high performance networks to obtain
  optimal performance from the current
  infrastructure on a consistent basis.

Applications Performance
Raw Connectivity

• True End-to-End Performance requires a system
  approach user perception, OS, Host IP stack,
  Host network card, LAN, Campus, regional
  network/GigaPoP, link to I2 national
  backbones.all the way to International
  connections!

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E2E Performance Initiative Work

• Understand applications and their performance
  requirements
• Technical Advisory Group
• Provide best practices/experience for network
  operators
• Collecting Performance Stories
• Help the application user troubleshoot problems
• Measurement Architecture Document
• H.323 Beacon
• Reflector Development
• Bring all of this together for the end user
• Performance Analysis Station and GUI for End-User
  Solution

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Summary

• Internet2 focused on
• Working together to advance the development and
  use of networking infrastructure, technologies
  and applications
• AND
• Putting in place the community-wide,
  interoperable infrastructure (at network,
  middleware, advanced services levels) to support
  development and use for research, teaching,
  learning

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Internet2 Partnerships

• Internet2 universities are recreating the
  partnerships that fostered the Internet in its
  infancy
• Industry
• Government
• International

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Resources more information

• On the Web
• www.internet2.edu
• apps.internet2.edu
• abilene.internet2.edu
• Email
• info_at_internet2.edu
• Contact us!Ana Preston apreston_at_internet2.edu

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www.internet2.edu