Internet Connectivity and Performance for the HEP Community.

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Internet Connectivity and Performance for the HEP Community.

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Internet Connectivity and Performance for the HEP Community. Presented at HEPNT-HEPiX, October 6, 1999. by Warren Matthews warrenm_at_slac.stanford.edu ... –

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Title: Internet Connectivity and Performance for the HEP Community.


1
Internet Connectivity and Performance for the HEP
Community.
  • Presented at HEPNT-HEPiX, October 6, 1999
  • by Warren Matthews ltwarrenm_at_slac.stanford.edugt
  • Funded by DOE/MICS Internet End-to-end
    Performance Monitoring (IEPM).

2
Goal.
  • Why is our project important ?
  • Why am I here ?
  • What do our studies mean to you ?
  • How does it affect HEP research ?

3
Overview.
  • Brief review of the monitoring project.
  • Performance measured by PingER.
  • Trends between Geographical regions.
  • A closer look at some events.

4
The Need for Monitoring
  • Computing models for BaBar, RHIC, LHC have
    ambitious networking requirements.
  • Exabytes or petabytes of data
  • analyzed at collaborating Institutes
  • Can the Internet perform ?
  • Data transfer
  • Analysis applications
  • Where to allocate resources to make it better.

5
Effect on Applications
  • Email
  • largely unaffected by poor performance
  • File Transfer
  • Web (HTML)
  • telnet/SSH
  • Video/Voice Conferencing
  • Even moderate losses can make it unusable

More Interactive and More Sensitive to Problems
6
The PingER Project
  • End-to-end
  • computers, routers, exchange points
  • utilization, routing
  • Ping
  • ICMP echo request and reply
  • 11x100 Byte Pings, 10x1000 Byte Pings

7
PingER Deployment
  • 23 Monitoring Sites in 13 Countries.
  • 536 Nodes at 381 sites in 55 Countries.
  • 2111 pairs.
  • 53 Beacon Sites.

8
PingER Metrics
  • Packet Loss
  • Queue is full
  • Round Trip Time
  • Path Length
  • Speed of Link
  • Congestion / Delay at Router

9
PingER and Application Performance
  • Same path
  • Transit packets are treated the same by routers
  • Problems arise if protocols are treated
    differently
  • Studies of HTTP show strong correlation
  • Better than application performance
  • Loss and Response
  • Routes
  • TTCP lt (MSS / RTTTCP ) (1 / sqrt(p))

10
Interconnected Networks
  • Many of the DOE-Funded Labs are connected to the
    Energy Sciences Network (ESnet).
  • Many other networks in the U.S.
  • vBNS, Abilene I2, THEnet
  • European National Research Networks
  • GARR, JAnet, Renater, TEN-155

11
Performance on ESnet
  • Utilization is currently low
  • SLAC upgrade due to anticipated demands of BaBar.
  • Packet Loss is negligible.
  • Typically lt0.1
  • Round Trip Times are good.
  • Dominated by path length
  • probably the most direct route
  • As good as it gets.

12
Probably heavy traffic caused queuing.
13
Bulk transfer - Performance Trends
Bandwidth TCP lt 1460/(RTT sqrt(loss))
14
Performance Between Networks
  • Utilization on vBNS and Abilene is low
  • Packet Loss is low
  • Utilization at Exchange points is also low.
  • ESnet lt-gtAbilene, vBNS
  • Not the commercial Internet
  • No longer one NOC
  • Routing Policies

15
CSU change routing to send SLAC packets via
Sacramento.
16
Transatlantic Performance
  • Traditional, and well-known, bottleneck.
  • Packet Loss can be high.
  • Large RTT is unavoidable.

17
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18
Improving Performance
  • Managed Bandwidth
  • Quality of Service

19
December
20
Ten-155 became operational on December 11.
To North America
Smurf Filters installed on NORDUnets US
connection.
To Western Europe
21
Regional Performance
  • Performance within a NRN is usually good.
  • Packet Loss in Italy (GARR) is Good
  • Packet Loss in U.K. (JAnet) is Good/Acceptable
  • Compare to U.S.
  • No exchange point between Laboratories and
    Universities.
  • But possibly debate on allocation of resources.

22
General Summary.
  • Between Labs,
  • Good/Acceptable.
  • University Overseas Lab,
  • Very Variable (particularly U.S. Universities not
    on ESnet or vBNS).
  • Many Connections perform at less than good level,
    particularly remote regions.
  • Between Universities,
  • Very Variable.

23
Recommendations (Observations)
  • Connect to a Research Network.
  • Bandwidth with low average utilization.
  • Reserved Bandwidth and QoS.

24
Further Information
  • CHEP98, TechPub 8178, IEEE
  • http//www-iepm.SLAC.Stanford.EDU

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