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ETOMIC measurements in EVERGROW. Gábor Vattay Eötvös University/Collegium Budapest. E vergrow T raffic O bservatory M easurement I nfrastru C ture. www.etomic.org. Brief history. 2002 Nov/Dec: UCSD, Caida, NLANR, NIMI … . ” b uild something which goes beyond present efforts ”
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ETOMIC measurementsin EVERGROW Gábor Vattay Eötvös University/Collegium Budapest
Evergrow Traffic Observatory Measurement InfrastruCture www.etomic.org
Brief history • 2002 Nov/Dec: UCSD, Caida, NLANR, NIMI … . ”build something which goes beyond present efforts” D. Veitch: fixed precise hardware + cloud of light weight agents • 2003 Feb: S. Kirkpatrick, Y. Shavitt, J. Aracil, EVERGROW measurements (DIMES & ETOMIC) • 2004 Spring: deployment (collaboration attempt with PlanetLab/Intel/C. Diot) • 2004 Autumn: first measurements, Best European Testbed (TRIDENTCOM) • 2005 March: IPS-MoMe (collaboration on databases/public data, GEANT) • 2005 further deployments: first large scale measurements, DIMES ETOMIC measurements • 2005 September: Cooperative Center for Communication Network Data Analysis Eötvös University, Collegium Budapest, Public Univ. Navarra, Tel Aviv, Notre Dame (Barabasi), TU Dresden (Helbing), UCSD INLS (Kocarev), Columbia, MS Research, Ericsson R&D, T-Com.hu ~ EUR 3 million
Partsof the infrastructure RS 422 max. 100 meters cable 1000BaseTX for DAG GPS 1000BaseTX LAN PC with DAG WAN IBM Blade Center SWITCH/LAN 1000BaseTX LAN Precision: 100 ns – 1s in Global Time
The Endace card with patterned traffic generator • Single port full packet capture at 10/100/1000 Mbps • precise time stamping with GPS global synchronization • sending out any pattern of configurable packets DAG 3.6GE
Evergrow Traffic Observatory Management System (ETOMS)designed by the group of Prof. J. Aracil at Public University of Navarra, Pamplona
Current measurements: 1. One way delay • High precision propagation delay of IP packets
Current measurements: 2 Network Tomography Getting delay statistics also from the interior of the network, where we don’t have monitoring stations Shoot back-to-back packet pairs … and measure their delay at arrival with very high precision
Distribution of the mean queuing delay (day 14:00) Red line is the best fit log-normal distribution
Variance vs. mean Night Day Afternoon
It turns out, that only ”Receiver” should be precise … Projection: with 300 standard nodes (DIMES, PlanetLab …) we can monitor perhaps 12.000 links
Special thanks to • Javier Aracil and the Pamplona team • The DIMES team • The EVERGROW partners • István Csabai (putting all together) • Péter Hága (Precise measurements) • Tamás Hettinger (Java simulations) • Péter Mátray (Google map visualization) • Gábor Simon (Tomography) • Norbert Solymosi (Spatial visualization) • József Stéger (DIMES-ETOMIC)