Open DMIX High Performance Web Services for Data Mining, by vev19514

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									            Open DMIX

High Performance Web Services for
Data Mining, Data Integration, and
         Data Exploration
         Robert L Grossman &
       Steve Eick, Yunhong Gu,
     David Hanley & Xinwei Hong
    National Center for Data Mining
           Goal: Integrate & Explore
               Distributed Data




Middleware # Sites Critical   Avg.    Avg.       Avg.
                   Path       Arch.   Data Set   Select
Data Grid  1000 cycles        PB      TB         GB

Data Web     1M     access & TB       GB         MB
                    integ.
    High Performance Web Services
        Discovery UDDI             Bandwidth
                                   Challenge
      Description WSDL

        Packaging XML                      DSTP

     Transport SOAP/HTTP                   SOAP+

     Network Protocol TCP               SABUL/UDT

*Open DMIX is an open source collection of web services
for data mining, data integration and data exploration
   SABUL/UDT Protocol Overview
 Uses both Rate Control (RC) and (window based)
  Flow Control (FC)
  – Constant RC interval to remove RTT bias
  – Employs bandwidth estimation
 Selective   acknowledgement (ACK)
  – Reduces control traffic & results in faster recovery
 Uses packet delay as well as packet loss to
  indicate congestion
 Slow start
  – controlled by FC
           UDT Fast, Fair & Friendly,
              Easy & Efficient
                                Friendly to
                                TCP Flows


                                  Fair to
                                other High
                                Perf. Flows


                                      Fast
Efficien
    t
New Trans-Atlantic Milestone for
    FFFEE Data Transport
          For More Information
Robert Grossman
grossman at uic dot edu

www.ncdm.uic.edu
www.dataspaceweb.net
www.sourceforge.net/projects/dataspace


  Please join our open source project developing
     network protocols, data protocols, and web
              services on Source Forge.

								
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