Sponsored by the National Science Foundation GENI Instrumentation and Measurement Working Group Meeting Report GENI Engineering Conference 7 Duke University,

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Presentation transcript:

Sponsored by the National Science Foundation GENI Instrumentation and Measurement Working Group Meeting Report GENI Engineering Conference 7 Duke University, Durham, NC March 18,

Sponsored by the National Science Foundation 2 March 18, 2010 I&M WG Co-Chairs: –Paul Barford, Univ of Wisconsin –Bruce Maggs, Duke Univ and Akamai GPO Systems Engineer: –Harry Mussman

Sponsored by the National Science Foundation 3 March 18, 2010 I&M WG Meeting at GEC7 Wed, Mar 17, 3:30pm – 5:30pm Introductions (5min) Major WG issues and goals, by Paul Barford/Univ Wisconsin (15min) Short presentations by four I&M projects, covering priority architecture topics: definition and configuration of I&M services; measurement data schema; and measurement plane options (60min) Instrumentation Tools (1642), by James Griffioen/U KentuckyInstrumentation Tools (1642) OMF/OML (1660), by Max Ott/NICTA, Marco Gruteser/Rutgers WINLABOMF/OML (1660) perfSONAR for ntwk measurements (1788), by Martin Swany/U DelawareperfSONAR for ntwk measurements (1788) DatCat project, by Brad Huffaker/CAIDA at UC SanDiego SuperCompCtr GENI I&M Architecture document Harry Mussman/BBN GPO (15min) Review of v0.1 DRAFT, with proposed I&M services and configuration, priority topics and suggested WG discussion topicsGENI I&M Architecture document Identify next steps for WG, by Bruce Maggs/Duke U (15min) Wrap up, by Harry Mussman/BBN GPO (5min)

Sponsored by the National Science Foundation 4 March 18, 2010 I&M WG Meeting Report Excellent presentations by four I&M projects! –lots of content, good insights –many thanks! Excellent discussion of next steps for WG –many volunteers to work in sub-groups on the following priority issues –sub-groups to meet (how?), gather content, review, then to WG for review, consensus Definition and configuration of I&M services –five I&M services proposed –may be “sufficiently good” Measurement data schema –most important! –many have experience –get it down now; expect it to be wrong; then modify it or add more Use cases –do this soon! –gather from projects, experimenters ; check workshop attendees