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University of Michigan and Merit Network, Inc.

Develop metrics and data collection architecture, data dissemination, data visualization/data mining, analysis architecture. Push-Pull server model allows access to internet data visualization tools via command line or WWW interface.

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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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