1 / 124

Applications 201

Applications 201. Internet2 Member Meeting 19 April 2004 apps.internet2.edu. Applications Introduction. Laurie Burns, Director of Application Programs and Member Activities. Tutorial Overview. General Introduction and Goals for Applications Efforts Program Managers and Their Communities

fadams
Download Presentation

Applications 201

An Image/Link below is provided (as is) to download presentation Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author. Content is provided to you AS IS for your information and personal use only. Download presentation by click this link. While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server. During download, if you can't get a presentation, the file might be deleted by the publisher.

E N D

Presentation Transcript


  1. Applications 201 Internet2 Member Meeting 19 April 2004 apps.internet2.edu

  2. Applications Introduction Laurie Burns, Director of Application Programs and Member Activities

  3. Tutorial Overview • General Introduction and Goals for Applications Efforts • Program Managers and Their Communities • Collaboration Services and Projects • Communications and Outreach Activities • Your Questions!

  4. Internet2 Mission Develop and deploy advanced network applications and technologies for research and education, accelerating the creation of tomorrow’s Internet.

  5. Applications End-to-end Performance Security Motivate Enable Middleware Services Networks Internet2 Today (and Tomorrow)

  6. Internet2 Applications • What are “Internet2 applications”? • They deliver qualitative and quantitative improvements in how we conduct research and engage in teaching and learning • They require advanced networks to work

  7. Interactive collaboration Real-time access to remote resources Application Attributes

  8. Large-scale, multi-site computation and data mining Shared virtual reality Any combination of the above Attributes, cont.

  9. Internet2 Application Goals • Collaborate with discipline communities and organizations, and address the critical (and unique) needs of research communities • Support strategic demonstrations in order to demonstrate the value of advanced networking and facilitate member collaborations

  10. Internet2 Application Goals (cont’d) • Scout for and engage innovative applications under development, so that the Internet2 community can maintain openness to innovation at the edge • Move maturing applications to production status in order to promote the large-scale adoption of common applications

  11. Knowledge Sharing • Internet2 acts as a clearinghouse to help distribute information through the community • Technical meetings • Virtual presentations • Technical support • Software tools (monitoring, diagnostic) • Loaner hardware • Access to expertise (working groups)

  12. Knowledge Sharing, cont. • Event planning and organization • Coordinating meeting spaces and logistics • Providing information distribution and support (e.g., website and content creation for working groups)

  13. Health Sciences Veterinary Medicine Arts & Humanities Arts Performance High Energy and Nuclear Physics Geospatial Apps Orthopaedic Surgery Voice over IP Digital Video Videoconferencing ResearchChannel Network Storage Presence & Integrated Communications Apps Working Groups, Advisory Groups, SIGs, and BoFs

  14. David Lassner, Univ of Hawaii (chair) Jacqueline Brown, Univ of Washington Bill Decker, Univ of Iowa Parvati Dev, Stanford Mark Ellisman, UCSD Vijay Kumar, MIT Clifford Lynch, CNI Homer Neal, Univ of Michigan Harvey Newman, Caltech George Thoma, NIH Joel Tohline, LSU Egon Verharen, SURFnet Glenn Wheless, ODU Applications Strategy Council

  15. Discipline Approach Broad Outreach Internet2 Days, web site, applications infosheets Health Sciences Arts & Humanities Science & Engineering Applications Community Applications Community

  16. Discipline Approach Broad Outreach Internet2 Days, web site, applications infosheets Mary Kratz Ann Doyle Charles Yun Applications Community Applications Community

  17. Major Activity Areas • Technology evaluation and advocacy • Advanced applications deployment • Installing storage servers (with Tennessee), VRVS videoconferencing servers (with Caltech), Access Grid deployment assistance • Prototyping • Demonstrations • Meetings • Virtual Briefings (now on-request) • Flyers, testimonials, web site • Campus presentations

  18. Program Managers • Work with defined communities on integrating advanced technologies that support the discipline • How we can help • Connect you with Internet2 resources and with people doing similar work • Help learn from other projects • Watch for trends • What we do not do • Run your Internet2 project • Lay wires, code applications, etc.

  19. Science and Engineering Russ Hobby & T. Charles Yun Program Managers for Science and Engineering

  20. Science and Engineering • Program managers are one channel through which communities can interact with Internet2 and the broader Internet2 community • Our backgrounds are different and we provide views into different portions of the world • Middleware • End to End Performance • Engineering (network) • Security

  21. Application Communities • Progress is driven by those who see ways in which advanced networking technologies can benefit their research communities • Internet2 has worked with a variety of communities over time. One way to organize is by our history of interaction with these groups: • Mature • Developing • Nascent • Even more nascent…

  22. High Energy and Nuclear Physics (HENP) • Physics has traditionally been one of the “power users” of all networks • Physicists are generating Terabytes of data (1,000,000,000,000 or 1x1012) per experiment from the CERN lab in Switzerland • Types of network usage: • Bulk data transfers that are extremely resistant to data loss. • VRVS expects multicast and low-latency/jitter networks for effective video conferencing As a mature community, we learn as much from the HENP community as they do from us (it could be argued that we are the students).

  23. VLBI • Astronomers collect data about a star from many different earth based antennae and send the data to a specialized computer for analysis on a 24x7 basis. • VLBI is not as concerned with data loss as they are with long term stability. • The end goal is to send data at 1Gb/s from over 20 antennae that are located around the globe. Internet2 works closely with the VLBI researchers and assists where we can. We are the teachers, but probably not for long.

  24. NEON • NEON is in the early stages of their development • Their research goals and science plan is fairly well understood. • Using advanced networks to connect researchers, data and sensors is assumed. • The specific ways in which advanced networking will be integrated into their project still needs to be investigated. As a new group in the Internet2 community, the Program Managers are identifying areas in which advanced networking experience can be used to further NEON’s research

  25. A New Community: Games • There are many examples of communities that might fall into this category. One of Internet2’s objectives is to identify technologies, users and applications that will change the way we look at the network • Let’s use games as an example… • Shared 3D visualizations, persistent world environments, real time interaction, trusted user communities, etc. We are looking for communities that will push networking research in multiple areas, particularly areas that will become

  26. Upcoming Activities • REACCIUN2 Seminar: Scientific and Educational Applications in High Performance Networks, April 29, Caracas, Venezuela • NEES Consortium Meeting, May 20-22, San Diego • GGF11 “The Enterprise Grid,” June 6-9, Honolulu, HI (held in conjunction with HPDC-13) • eVLBI Workshop,October 6-7, Makuhari, Japan

  27. More Info Russ Hobbyrdhobby@internet2.edu530.752.0236 Charles Yuntcyun@internet2.edu734.352.4960 science.internet2.edu

  28. Health Sciences Mary Kratz Program Manager for Health Sciences

  29. Healthcare in the Information Age

  30. The scope of the Internet2 Health Science Workgroup includes clinical practice, medical and related biological research, education, and medical awareness in the public.

  31. Key Health Science Members • 86 Academic Medical Centers (AAMC) • 130 Health Science related colleges • Public Health, Nursing, Dentistry, Pharmacy • Affiliate Members • NIH, FDA, NSF, NASA, NOAA • Howard Hughes Medical Institute • Pharmaceutical Companies (Big Rx) • Johnson&Johnson, Pfizer, Eli Lilly • TeleHealth • Prous Science, Cisco, IBM, Microsoft, SUN, Polycom, Ford Motor Company

  32. Hawaii Health Sciences Initiative • Health Science Advisory Group • Working Groups/SIG/BoF • Medical Professional .Org • Driven by the needs of the medical discipline • Information • Computation • Engineering • Technology OHSU UIC NLM NCRR JNJ Stanford UCSD Bradley UTenn UAB TAMU UTSW

  33. CLINICAL:Why Physicians Participate in Internet2 • Extend the provision of better healthcare • TeleHealth (eHealth) • National Tumor Board • Develop Clinical Skills and Assessment (AAMC partnership) • Distributed data sharing • Electronic Health Record • Presence and Integrated Communications (VoIP, RFID) • Advanced visualization Computer Assisted Surgery • Computer Aided Diagnosis • Collaboration independent of boundaries • Geography: Second Opinion Networks/Night Hawking • Time: Learning Technology (Distance Education) • Computation: Knowledge Management

  34. Educators:Why Faculty Participate in Internet2 • Rich resources from student endpoints to centralized powerful computation and large storage • Students absorb multiple channels of information Dynamic charts Second screen lecture Communal note taking messaging • Slide courtesy: • Parvati Dev, Stanford University

  35. Researchers:Why Scientists Participate in Internet2 Internet2 doesn't only save time, it allows interactivity in places where that was not possible before. I'd call it a quantum leap, if I didn't know that physics defines that as the smallest change a system is capable of... Timothy Poston, Bangladesh

  36. Biomedical Informatics Research Network (BIRN) Funded by: NCRR/NIH Mark Ellisman, PhD,Univ. California San Diego, SDSC www.nbirn.net

  37. EACH BRAIN REPRESENTS A LOT OF DATA AND COMPARISONS MUST BE MADE BETWEEN MANY (fMRI) Slide courtesy of Arthur Toga (UCLA)

  38. Time Needed to Move Brain Images Across the Internet Voxel size: 1 mmImaging Technology: Current color MRIData generated: 4.5 Megabytes 643 seconds 56 Kbps Modem 36 seconds Broadband Internet 0.4 seconds Typical LAN 0.006 seconds Current Internet2 Record (5.6 Gbps)

  39. Time Needed to Move Brain Images Across the Internet Voxel size: 10 µmImaging Technology: Current color fMRI Data generated: 4.5 Terabytes 178,571 hours 56 Kbps Modem 10,000 hours Broadband Internet 100 hours Typical LAN 1.8 hours Current Internet2 Record (5.6 Gbps)

  40. Time Needed to Move Brain Images Across the Internet Voxel size: 1 µmImaging Technology: Near-future color fMRIData generated: 4.5 Petabytes 1,062,925.17 weeks 56 Kbps Modem 59,523.8 weeks Broadband Internet 181.7 weeks Typical LAN 10.6 weeks Current Internet2 Record (5.6 Gbps)

  41. Slide Courtesy of BIRN

  42. NIH Roadmap: nihroadmap.nih.gov • What are today’s most pressing scientific challenges? • What are the roadblocks to progress and what must be done to overcome them? • Which efforts are beyond the mandate of one or a few…but are the responsibility of (NIH as) a whole? E. Zerhouni, M.D.Director, National Institutes of Health

  43. NIH Roadmap: Implementation Themes • New Pathways to Discovery • Research Teams of the Future • Reengineering Clinical Research Enterprise • National Electronic Clinical Trials and Research Network (NECTAR)

  44. Health Science Grand Challenge <Person-----Organ-----Tissue-----Cell-----Protein-----Atom>(1m) (10-3m) (10-6m) (10-9m) (10-12m) (10-15m) Systems models Continuum models (PDEs) ODEs Stochastic models Pathway models Gene networks Courtesy: Peter Hunter, University of Auckland

  45. Remote, Real-time Simulation for Teaching Human Anatomy and Surgery • Demonstrate remote, real-time teaching of human anatomy and surgery • Deliver real-time simulation and visualization technologies • Network-based architecture will allow for multiple high-resolution stereo-graphic displays and haptic devices Stanford University School of Medicine Stanford, CA

  46. Surgical Planning • Pipelines for Morphometric Analysis • Surgical Planning • Interoperative segmentation • Brain atlas • fMRI Funded by NCRR/NIH Ron Kikinis, M.D., Steve Pieper, Ph.D., Simon Warfield, Ph.D. Brigham and Women’s Hospital, Harvard Medical School

  47. Telemammography:National Digital Mammography Archive • Storage and retrieval of complete clinical record • Mammographic images • Radiology images (DICOM) • Pathology reports and related patient information • Standard formats using standard protocols • Multi-layered security • Input and retrieval from multiple locations • Measurement Criteria: Saving lives! University of Pennsylvania, Philadelphia, PA Y12 National Security Complex in Oak Ridge, Oak Ridge, TN University of Chicago, Chicago, IL University of North Carolina at Chapel Hill, Chapel Hill, NC University of Toronto, Toronto, Canada

  48. Research Team of the Future:Cancer Biomedical Informatics Grid • Global Cancer Research Community • Grid deployment to Cancer Centers • Bioinformatics infrastructure • Public data sources Funded by: NCI/NIH http://cabig.nci.nih.gov/ David States, MD, PhD

  49. ONCOMINE • Cancer Microarray Database containing close to 50 million datapoints • Data mining tools to efficiently query genes and datasets of interest • Meta-analyze groups of studies http://141.214.6.14:8080/Array1/ Funded by: Univ of Michigan Pathology, Pew Scholars Program, American Cancer Society, and V Foundation Arul M. Chinnaiyan, MD, PhD

  50. Center for Biologic Nanotechnology • Bring together the multiple disciplines to develop nanotechnology from conception to human trials. • Nanotechnology will impact communications, information storage, materials sciences and other non-biologic applications offering limitless opportunities for miniaturization. http://nano.med.umich.edu/ Funded by: NIH, DOE, NSF, DARPA James Baker, MD

More Related