1 SLAC Internet Measurement Data Les Cottrell, Jerrod Williams, Connie Logg, Paola Grosso SLAC, for the ISMA Workshop, SDSC June, 2004 www.slac.stanford.edu/grp/scs/net/talk03/isma-jun04.ppt.

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Presentation transcript:

1 SLAC Internet Measurement Data Les Cottrell, Jerrod Williams, Connie Logg, Paola Grosso SLAC, for the ISMA Workshop, SDSC June, Partially funded by DOE/MICS Field Work Proposal on Internet End-to-end Performance Monitoring (IEPM), also supported by IUPAP

2 PingER data PingER: –7 years of data, > 100 countries, ~35 monitoring sites, ~550 remote sites, lightweight, good for developing countries –pings every 30 mins growing number of sce-dest pairs (~3700 currently) –Monitor site collects 0.5MB/pair/month –Two archives: SLAC & FNAL Gather data from monitor sites at regular intervals Kept in flat files at SLAC Adding to Oracle database for recent data, and web services access following NMWG schemata, e.g. –path.delay.roundTrip ms (min/avg/max + RTTs), Main interest as end-user Active probes, E2E Passive border: characterization & security

3 IEPM-BW Measurements for hi-perf paths with multi & single-stream iperf, bbcp, bbftp, GridFTP, ping Ten monitoring sites, ~60 remote hosts (9 countries) Measurements ~ 90 mins intervals, ~ s per measurement Kept in flat files on monitor host, no regular central gathering Network intensive, requires scheduling Also available via web services with Oracle back-end, e.g. – –Used by MonALISA (so WSDL changes need coordination) CharacteristicToolname path.bandwidth.achievable.TCP iperf path.bandwidth.achievable.TCP.multiStreamIperf,bbftp, bbcp, GridFTP

4 IEPM-LITE Currently about 40 sites, expect to expand ABwE measurements every 3 mins –Provides capacity, X-traffic, available bandwidth, RTT Traceroutes every 10 mins Network low impact (ABwE 20 packets / direction), no scheduling needed Kept in flat files, also web services, e.g. – –Working (with Warren Matthews/GATech/I2) on defining / providing access to traceroutes for AMP & IEPM-LITE CharacteristicToolname path.bandwidth.capacityABwE path.bandwidth.utilizationABwE

5 Data types Raw measurements –Maybe saved in flat files or in an SQL dB –Flexibility in querying vs. speed of access Analyzed data Plots, Tables –Some on demand (CGI scripts) in particular PingER Takes longer to get information for user –Others generated daily and saved (IEPM-BW & LITE) Faster access for user, but more storage Data kept in network file systems (AFS/NFS) –Allow access from monitor host –Web servers –Can be reliability problems

6 Data Requests Big analyses (e.g. 7 years of PingER RTT & Loss data) –Tar and zip data and FTP (few requests/year) Recent data (e.g. for Grid application steering) –Web services (MonALISA for IEPM-BW) –Currently real-time PingER data not available, i.e. one day old, we are working on this with NIIT Intermediate term available from web pages in TSV format for Excel etc., easily automated –PingER: roughly 40 hits/day PingER data NOT anonymized, IEPM host name hidden (network name visible)

7 Challenges 1/2 Keeping remote sites accessible (port/protocol blocking, hardware failures, changes in address or name or hardware …) –Result in holes in the data, or new host/site replacing old Collecting data from monitoring hosts Recovering “lost” data and rippling it back into the analysis chain. WSDL –Complexity, steep learning curve, tools currently limited –Schema definition stability inhibits deployment

8 Challenges 2/2 Running continuous measurements, collecting data etc. is hard

9 More Information PingER – IEPM – Web services access to IEPM & PingER – Example SOAP client for IEPM-BW –www-iepm.slac.stanford.edu/tools/soap/IEPM_client.htmlwww-iepm.slac.stanford.edu/tools/soap/IEPM_client.html

10 Access mechanisms

11 Web Services See Working for: RTT, loss, capacity, available bandwidth, achievable throughput No schema defined for traceroute (hop-list) PingER –Definition WSDL – path.delay.roundTrip ms (min/avg/max + RTTs), path.loss.roundTrip IPDV(ms), Also dups, out of order, IPDV, TCP thru estimate Require to provide packet size, units, timestamp, sce, dst –path.bandwidth.available, path.bandwidth.utilized, path.bandwidth.capacity Mainly for recent data, need to make real time data accessible Used by MonALISA so need coordination to change definitions

12 Perl access to PingER

13 PingER WSDL

14 Output from script

15 Perl AMP traceroute

16 AMP traceroute output

17 Intermediate term access Provide access to analyzed data in tables via.tsv format download from web pages.

18 Bulk Data For long term detailed data, we tar and zip the data on demand. Mainly for PingER data.