>NEW INTERNET PROTOCOL SETS MILESTONE FOR FAST AND FRIENDLY TRANS-ATLANTIC
>Chicago, Illinois. A new milestone was reached in trans-Atlantic data
>transmission today by researchers at the University of Illinois at Chicago
>(UIC) who demonstrated the practicality of transferring even very large
>data sets over high-speed production networks.
>UIC's National Center for Data Mining (NCDM) and Laboratory for Advanced
>Computing flashed a set of astronomical data across the Atlantic at 6.8
>gigabits per second --- 6800 times faster than the 1 megabit per second
>effective speed that connects most companies to the internet.
>In the test, 1.4 terabytes of astronomical data was transmitted from
>Chicago to Amsterdam in 30 minutes using UDT, a new protocol developed by
>the NCDM at the University of Illinois at Chicago. In comparison, moving
>the same amount of data using the TCP Protocol, which is the standard used
>on the internet today for data transfers, would take 25 days.
>Moving large data sets over the internet faces several hurdles:
>First, the network infrastructure for long distance 1 Gigabit per second
>and 10 Gigabit per second network links is still maturing and software
>that can use this infrastructure is just being developed. The UIC
>computer clusters used for the test were connected to the SURFnet network
>in Amsterdam and the Abilene network in Chicago. The test also
>demonstrated the quality and power of these, two of the world's leading
>research networks. In the past, high-speed data transfers of very large
>data sets have usually employed specialized experimental networks and used
>data protocols that did not allow other network traffic to share the same link.
>Second, today's predominant network protocol, TCP, is not effective at
>moving massive data over long distances. UDP, another network protocol
>that is also widely deployed, cannot reliably transport data (some data
>may be lost) and is not friendly to other flows (using it for large data
>transfers can starve other network traffic). Currently, efforts are
>underway to improve TCP, to develop new protocols to replace TCP, and/or
>to develop protocols on top of TCP and UDP that are effective for high
>performance data transport.
>To overcome these problems, in the past, high speed data transfers of very
>large data sets have used special purpose research networks and employed
>specialized data protocols that in practice did not allow other network
>traffic to share the same link.
>Friday's test run used a new network protocol called UDP-based Data
>Transport or UDT, which was developed by the National Center for Data
>Mining at the University of Illinois at Chicago. Unlike some other
>protocols now being studied for high speed data transfer, UDP-based
>protocols can be used over today's Internet without making changes to the
>network infrastructure. Today's demonstration not only showed that UDT
>was fast, but also that it
>was friendly and could effectively coexist with thousands of other
>The demonstration is part of an ongoing international effort to find and
>test new ways of reliably moving massive data sets around the globe using
>advanced networks and new data transfer protocols. Such systems hold
>enormous promise for advancing scientific research, in addition to
>numerous commercial applications. Today, although it is becoming common
>for global business to have important data in different cities, it is
>still quite difficult to integrate this data to create a common view.
>"Using UDT, it is now practical for the first time to move even massive
>data sets over very long distances in a friendly fashion using today's
>networks," said Robert Grossman, Director of UIC's National Center for
>Data Mining and President of Open Data Partners.
>UDT is currently being used by several international research
>projects. UDT is used by the OptIPuter, a research project developing
>next generation computing infrastructures based upon advanced
>photonics. UDT also plays a role in research projects developing high
>performance web services, something that is required in order to scale
>today's web services to large remote and distributed data sets.
>UDT is used as the network transport layer in the joint University of
>Illinois/Northwestern project on Photonic Data Services (PDS), which is
>developing open source data services for next generation photonic
>networks, such as the OptIPuter. The OptIPuter is an example of what are
>sometimes called lambda grids, distributed computing infrastructures in
>which applications can set up their own photonic paths (lambdas)
>supporting data transport at Gigabit per second speeds and higher.
>"Moving data at 6.8 Gigabits per second across the Atlantic using UDT is
>an important milestone for the OptIPuter Project and brings us a bit
>closer to effective data management over lambda grids," said Larry Smarr,
>Principal Investigator of the OptIPuter Project and Director of the
>California Institute for Telecommunications and Information Technology, a
>UC San Diego/ UC Irvine partnership.
>UDT is also being used as one of the layers of a UIC project called Open
>DMIX (for Data Mining, Data Integration, and Data Exploration), which is
>developing open source high performance web services for data mining.
>"Using UDT and the scalable data mining and data integration web services
>built on top of it may emerge as an important enabling technology for the
>grid computing required for next generation virtual observatories,"
>according to Alex Szalay, Alumni Centennial Professor in the Department of
>Physics and Astronomy at The Johns Hopkins University.
>The tests were made possible by support from the following manufacturers
>and organizations, who have generously contributed their equipment,
>facilities, and know-how: OMNInet, StarLight, Nortel, SARA and
>CANARIE. Partial funding for the tests was provided by the National
>Science Foundation (Grants 0129609, 9977868 and 0225642) and the
>University of Illinois at Chicago.
>For more information, contact:
>Shirley Connelly, Associate Director, NCDM
>312 413 2176, email@example.com.
>Robert Grossman Director, NCDM
>312 413 2176, firstname.lastname@example.org.
>National Center for Data Mining
>The National Center for Data Mining (NCDM) at the University of Illinois
>at Chicago (UIC) was established in 1998 to serve as a national resource
>for high performance and distributed data mining. The Center sponsors
>research projects, facilitates standards, operates testbeds, and provides
>outreach. The Center is coordinating the development of the Predictive
>Model Markup Language (PMML), the standard for statistical and data mining
>models, as well as the WS-DMX web services for data mining and data
>exploration standard. The NCDM also operates the Terra Wide Data Mining
>Testbed, a worldwide testbed for high performance and distributed data
>mining. For more information about NCDM, see www.ncdm.uic.edu.
>SURFnet operates and innovates the national research network in The
>Netherlands, to which 150 institutions in higher education and research in
>the Netherlands are connected. To remain in the lead SURFnet puts in a
>sustained effort to improve the infrastructure and to develop new
>applications to give users faster and better access to new Internet
>services. Currently SURFnet's network innovation is funded by the Dutch
>government via the GigaPort project. For more information please visit
>About the OptIPuter
>The OptIPuter, started in October 2002, is a five-year, $13.5 million
>project funded by the National Science Foundation. It will enable
>scientists who are generating massive amounts of data to interactively
>visualize, analyze and correlate their data from multiple storage sites
>connected to optical networks. University of California, San Diego and
>University of Illinois at Chicago lead the research team, with funded
>partners at Northwestern University, San Diego State University, the
>Information Sciences Institute at University of Southern California, UC
>Irvine and Texas A&M University, with industrial partners IBM, Sun
>Microsystems, Telcordia Technologies, Inc. and Chiaro Networks. See
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