SLAC IEPM PingER and BW monitoring & tools Presented by Les Cottrell, SLAC At LBNL, Jan 21, 2003 www.slac.stanford.edu/grp/scs/net/talk03/lbl-jan04.ppt PingER.
Download ReportTranscript SLAC IEPM PingER and BW monitoring & tools Presented by Les Cottrell, SLAC At LBNL, Jan 21, 2003 www.slac.stanford.edu/grp/scs/net/talk03/lbl-jan04.ppt PingER.
PingER
SLAC IEPM PingER and BW monitoring & tools
Presented by Les Cottrell, SLAC
At LBNL, Jan 21, 2003 www.slac.stanford.edu/grp/scs/net/talk03/lbl-jan04.ppt
1
History of the PingER Project
• Early 1990’s: SLAC begins pinging nodes around the world to evaluate the quality of Internet connectivity between SLAC and other HEP Institutions.
• Around 1996: The PingER project was funded making it the first Internet end-to-end monitoring tool available to the HEP community.
• Today: Believed to be the most extensive Internet end-to-end performance monitoring tool in the world 2 PingER
PingER Today
• Today, the PingER Project includes 35 Monitoring hosts in 12 countries. They are monitoring Remote hosts in 80 countries. Over 55 remote sites.
• THESE COUNTRIES COVER 75% OF THE WORLD POPULATION AND 99% OF THE INTERNET CONNECTED POPULATION!!!
Just added Pakistan!
Colored by region Colored countries have remote PingER hosts 3 PingER
PingER Architecture
PingER • • • There are three types of hosts
Remote-hosts
:
Archive Archive
hosts being monitored
Monitoring-hosts
:
Monitoring REMOTE Monitoring
Make ping measurements to remote hosts
REMOTE Archive/Analysis hosts
: gather data from Monitoring-sites, analyze & make reports
REMOTE REMOTE Monitoring REMOTE REMOTE REMOTE Monitoring REMOTE
4
Methodology
• Every 30 mins send 11*100Byte followed by 10*1000Byte pings from monitor to remote host • Low impact: – By default < 100bits/s per monitor-remote host pair – Can reduce to ~ 10bits/s – No need for co-scheduling of monitors • Uses ubiquitous ping – No software to install at any of over 500 remote hosts – Very important for hosts in developing countries • By centrally gathering the data, archiving, analyzing and reporting, the requirements for monitoring hosts are minimal (typically 1-2 days to install etc.) 5
Worldwide performance
• • Performance is improving • Developed world improving factor of 10 in 4-5 years • S.E. Europe, Russia , catching up • India & Africa worse off & falling behind • Developing world 3-10 years behind
Many institutes in developing world have less performance than a household in N. America or Europe
6
Current State – Aug ‘03 (throughput Mbps)
Monitoring Country
• Within region performance better – E.g. Ca|EDU|GOV-NA, Hu-SE Eu, Eu-Eu, Jp-E Asia, Au-Au, Ru Ru|Baltics • Africa, Caucasus, Central & S. Asia all bad Bad < 200kbits/s < DSL Poor > 200 < 500kbits/s Good > 1000kbits/s
Network Readiness Index vs Throughput
• NRI from Center for International Development, Harvard U. http://www.cid.harvard.edu/cr/pdf/gitrr2002_ch02.pdf
NRI Top 14 Finland US Singapore Sweden Iceland Canada UK Denmark 5.92
5.79
5.74
5.58
5.51
5.44
5.35
5.33
Taiwan Germany Netherlands 5.28
Israel 5.22
Switzerland 5.18
Korea 5.31
5.29
5.10
• NRI correlates reasonably well with Network Readiness 8
Typical uses • Troubleshooting
Discerning if a reported problem is network related Identify the time a problem started Provide quantitative analysis for Network specialists Identifying step functions, periodic network behavior, and recognize problems affecting multiple sites.
Setting expectations (e.g. SLAs)
Identifying need to upgrade
Providing quantitative information to Policy makers & Funding agencies
9
Seeing the effects of upgrades
Karachi
Pakistan performance
Routes: ESnet (hops 3-8) - DC ATT (9-21) - Karachi NIIT/Rawalpindi Islamabad Loss % RTT ms Lahore Routes: ESnet (hops 3-6) - SNV SINGTEL (7-12) - Karachi Pakistan Telecom Karachi Rawalpindi Routes: ESnet (hops 3-6) - SNV SINGTEL (7-12) - Karachi Pakistan Telecom Karachi Lahore 10
NIIT performance from U.S. (SLAC)
Preliminary results, started measurements end Dec 2003.
Ping RTT & Loss Nb. Heavy losses during congested day-times Avg daily: loss~1-2%, RTT~320ms
Bandwidth measurements using packet pair dispersion & TCP
ABW (pkt-pair dispersion):Average To NIIT: ~350Kbits/s From NIIT: 365 Kbits/s Iperf/TCP: Average: To NIIT: ~320Kbits/s From: NIIT 40Kbits/s Can also derive throughput (assuming standard TCP) from RTT & loss using:
BW~1.2*S(1460B)/(RTT*sqrt(loss)
~ 260Kbits/s Nominal path bottleneck capacity 1Mbits/s 11
In Summary PingER provides ongoing support for monitoring and maintaining the quality of Internet connectivity for the world wide scientific community. Information is available publicly on the web http://
www-iepm.slac.stanford.edu/cgi-wrap/pingtable.pl
PingER also quantifies the extent of the “Digital Divide” and provides information to policy makers and funding agencies.
12 PingER
IEPM-BW
• Need something for high-performance links – 10pings/30 mins, i.e. min=0.21% in day, or 0.007% in month (10 -8 BER) – today’s better links exceed this – Ping losses may not be like TCP losses • Need for Grid, HENP applications and high performance network connections – Set expectations, planning – Trouble-shooting, improving performance – Application steering – Testing new transports (e.g. FAST, HS-TCP, RBUDP, UDT), applications, monitoring tools (e.g. QIperf, packet-pair techniques …) in production environments – Compare with passive measurements, advertised capacities 13
Methodology
• Monitoring host every 90 minutes (+- randomization) cycles through collaborating hosts at several remote sites: – Sends active probes in-turn for: bbftp, gridtcp, bbcp, iperf1, iperf, (qiperf), ping, abwe … • Also measures traceroutes at 15min intervals • Uses ssh for code deployment, management and to start & stop servers remotely – Deploy server code for iperf, ABwE, bbftp, GridFTP & various utilities • 10 monitoring sites, each with between 2 and 40 remote hosts monitored – Main users SLAC (BaBar) & FNAL (D0, CDF, CMS) • Data archived, analyzed, displayed at monitoring hosts 14
Deployment
Monitor
HENP Net research
100Mbits/s host
Gbits/s host 15 125 measured bw Aug ‘02
• Time series: – Overplot multiple metrics – + route changes – Zoom, history – Choose individual metrics
Visualization
Scatter plots Histograms Access to data 16
Traceroutes
• Analyse for unique routes, assign route #s • Display route # at start, then “.” if no change • If significant change, the display route # in red • Links to: – History – Reverse – Single host – Raw data – Summary for emailing – Available BW – Topology Several routes changes simultaneously 17 Demo
Topology
• Select times & hosts & direction on table • Mouse_over to see router name • Click on router to see sub path below • Colored by deduced AS • Click on end nodes to see names of all hops 18
Performance (ABwE)
• Requires ABwE server (mirror) at remote sites • Gets performance for both directions • Low impact 40 * 1000 byte packets • Less than a second for result • Can do “real-time” performance monitoring
Current bottleneck capacity
(Usually limited by 100FE) Iperf (90m)
Available bandwidth Cross-traffic
24 hours 19
20
ABwE/Iperf match: Hadrian to UFL Heavy load ( xtraffic ) appeared It shows new DBC on the path
Normal situation
CALREN shows sending traffic 600 Mbits/s IPLS shows traffic 800-900 Mbits/s
21
Abing CLI • Demo abing command line tool
– Since low impact (40*1000 packets) can run like ping 22
• MonALISA
Navigation
23
Prediction, trouble
• For ABwE: in bandwidth qualifying effectiveness – Looking at NLANR change detector) • – Look at correlation between RTT /Abstracts/talk_03.html
after if changed), bandwidth info (fwd & rev) – Fold in diurnal changes with filtering
NDT
info,
shooting
• Working on auto detection of long term (many minutes) step changes – Developed simple algorithm and (McGregor/H-W Braun plateau http://www.ripe.net/pam2001 performance & route changes & – For significant changes, gather: RTT, routes (fwd/rev, before & – Generate real-time email alerts demo Predictions Diurnal 24
Program API
• Not realistic to look at thousands of graphs • Programs also want to look at data. E.g.
– Data placement for replica servers – Analysis, visualization (e.g. MonALISA) – Trouble shooting • Correlate data from many sources when suspect/spot problem • Publish the data in standard way • W3C Web Service, GGF OGSI Grid Service – Currently XMLRPC and SOAP servers – Using Network Measurement Working Group schema ( NM-WG .xsd
) • Demo mainly proof of principal, to access IEPM single & multistream iperf, multistream GridFTP & bbftp, ABwE and PingER data – Not pushing deployment and use until schema more solid 25
IEPM SOAP Client
#!/usr/local/bin/perl -w use SOAP::Lite; my $node = "node1.cacr.caltech.edu"; my $timePeriod="20031201-20031205T143000"; my $measurement = SOAP::Lite ->service('http://www-iepm.slac.stanford.edu/tools/soap/wsdl/IEPM_profile.wsdl') ->GetBandwidthAchievableTCP("$node", "$timePeriod"); print “Host=“ .$measurement->{'subject'}->{'destination'}->{'name'},"\n"; print $measurement->{'subject'}->{'destination'}->{'address'}->{'IP'},"\n"; print “Times:\n”.$measurement->{'path.bandwidth.achievable.TCP'} ->{'timestamp'}->{'startTime'},"\n"; print “Values:\n”.$measurement->{'path.bandwidth.achievable.TCP'} ->{'achievableThroughputResult'}->{'value'},"\n"; Host=node1.cacr.caltech.edu
Not-disclosed Times: 8 1070646905 1070652306 1070657705 Values: 1.55 176.43
Results
1070528106 1070533504 1070538907 1070544307 1070549706 1070555108 1070560505 107 0565907 1070571306 1070576706 1070582106 1070587506 1070592906 1070598310 107060 3706 1070609111 1070614506 1070619905 1070625306 1070630706 1070636106 107064150 183.5 174.3 196.76 188.75 196.67 196.05 195.86 187.69 192.91 152.99 181.85 193.0
3 190.21 190.54 168.71 166.79 196.17 172.1 183.77 194.44 195.84 194.01 192.49 17 For more see: http://www-iepm.slac.stanford.edu/tools/web_services/ 26 Demo: http://www-iepm.slac.stanford.edu/tools/soap/IEPM_client.html
For More Information
• PingER: • – – www-iepm.slac.stanford.edu/pinger / • ICFA/SCIC Network Monitoring report, Jan04 www.slac.stanford.edu/xorg/icfa/icfa-net-paper-jan04.html
The PingER Project: Active Internet Performance Monitoring for the HENP Community , IEEE Communications Magazine on Network Traffic Measurements and Experiments .
• IEPM-BW – http://www-iepm.slac.stanford.edu/bw/ • ABWE: www-iepm.slac.stanford.edu/bw/abwe/abwe-cf-iperf.html
http:// moat.nlanr.net/PAM2003/PAM2003papers/3781.pdf
and 27 PingER