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University of Michigan and Merit Network, Inc.

University of Michigan and Merit Network, Inc. Major support from the National Science Foundation, Intel, Hewlett Packard and the Merit RSNG Project. Overview. Develop metrics and data collection architecture Data dissemination Data visualization/data mining Analysis. Architecture.

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University of Michigan and Merit Network, Inc.

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  1. University of Michigan andMerit Network, Inc. Major support from the National Science Foundation, Intel, Hewlett Packard and the Merit RSNG Project

  2. Overview • Develop metrics and data collection architecture • Data dissemination • Data visualization/data mining • Analysis

  3. Architecture Exchange Point ISP1 Router ISP1 Router Campus LAN/WAN ISP2 Router Dissemination Servers Distiller Probe Machine Probe Machine

  4. Data Distillation Software Mukesh Agrawal University of Michigan & Merit Networks (quichem@merit.edu)

  5. System Overview • Collection (MRTd) • Processing (datadstl) • Data Dissemination Server • Visualization (IPMA Toolset) MRTd datadstl ASExplorer FlapGraph FlapTable Salamander now SNMPTable TrendGraph RouteTrackerJ future

  6. Features • “Easy to Use” • Remote Configuration (telnet interface) • Channels Published • Publish Frequency • Which Data Dissemination Server • Portable (uses MRT and POSIX)

  7. ASExplorer FlapGraph FlapTable SNMPTable TrendGraph RouteTrackerJ Report Generator Canned Query Custom Query Query BGP SNMP OSPF Database Salamander RouteTrackerJ Output Handler now future Architecture • Query • Database Module • Report Generator • Output Handler

  8. Future Directions • Additional Modules • SNMP database • SNMPTable, TrendGraph report generators • RouteTrackerJ query handler • RouteTrackerJ output handler • Module API (plug-ins)

  9. Distributed DataDissemination Server Jimmy Wan University of Michigan & Merit Networks (vecna@eecs.umich.edu)

  10. Project Goals • Provide access to internet data visualization tools via command line or WWW interface • http://www.merit.edu/ipma/tools/ • Allow people to create their own data channels • Controlled access to public and private data streams

  11. Description • Push-Pull server model allowing data access from heterogeneous clients • Supports Historic & Real-Time Queries • Attribute based data discovery • Multi-Server capability • Client-side libraries available in C, C++, and Java

  12. Features • Configurable (configuration files, admin tools, logging…) • Security via IP Access Control Lists (wildcard allow/deny) • Multi-Platform Support (UNIX and Win32)

  13. Multi-server capability • Run a private server to use our publicly available viz tools on your own data • Allows shared access to public data streams • Configurable peers • Unicast based with plans for multicast in the future

  14. Current Status of IPMA Software • Documentation and Download Info • http://www.merit.edu/ipma/docs/Manual/ • Data Distillation and Publishing • Distributed Data Dissemination Server • MRT Library • Currently available at http://www.merit.edu/mrt/

  15. Current Status of IPMA Software • Client Tools • ASExplorer, FlapGraph, FlapTable • JRE versions for Solaris and Win32 • WWW version for Netscape 4.06+ (http://www.merit.edu/ipma/tools/) • Tools connect to University of Michigan and Merit servers, but are configurable • Beta version release: 25 November 1998

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