Internet2 NetFlow: Weekly Reports: Week of 20070723

  1. Introduction
  2. Bulk TCP
  3. Full Data Set

Introduction

You are looking at the weekly Abilene network usage report for the week of 20070723 produced from NetFlow records. The view of the whole network as a single traffic-relaying unit is presented. More formally, data from all interior circuits (those connecting two Abilene routers) were discarded while all the rest of the data were merged to create this view.

During this week, there were no missing data days.

The data are split into two sections: bulk TCP data and the full data set. A "bulk TCP" flow is defined as a TCP flow that transferred more than 10MB of data. The first section only concerns these data. The second section studies the overall traffic composition.

All the numbers in this report are hyperlinked to plots that show their history (e.g., clicking on the percentage of octets of NNTP traffic will bring up a time-series plot that shows the history of this parameter).

Bulk TCP

During this week, bulk TCP traffic comprised 33.13% of octets and 19.82% of packets of the full data set traffic.

The distribution of bulk TCP throughputs is the most important piece of data in this report. Cumulative distribution function plots (1-CDF vs. throughput in bits/second) in semi-log and log-log scales are as follows:
[Bulk TCP throughputs (semi-log scale).] [Bulk TCP throughputs (log-log scale).]

Distribution of the amount of data transferred (in semi-log and log-log scale, 1-CDF vs. total trasfer size in octets) is presented below. It should be recognized that NetFlow collection mechanism is always configured so that flows (in the accounting sense) cannot last longer than a certain period of time. Therefore, the distribution of transfer sizes is to a certain extent skewed in the upper part.
[Bulk TCP transfer sizes (semi-log scale)] [Bulk TCP transfer sizes (log-log scale).]

The distribution of durations of bulk TCP flows (in seconds) is as follows (you may notice the cut-off phenomenon mentioned above):

[Bulk TCP durations distribution.]

The following table shows actual values from the above distribution plots that correspond to characteristic values (such as median, 90%, max, etc.).

Table 1. Selected Points from Distribution Graphs (Bulk TCPs)

Percentile Throughput (b/s) Durations (s) Size (octets)
1 1.384M 4 10.05M
5 1.482M 11 10.50M
10 1.600M 19 11.06M
50 3.394M 58 18.75M
90 11.99M 59 55.35M
95 17.13M 59 74.25M
99 45.81M 59 127.9M
99.9 150.2M 119 476.2M
99.99 1.010G 119 3.662G
99.999 1.102G 143 3.787G
100 208.8G 157 3.933G

We compute average packet size of each flow by dividing the number of octets in a flow by the number of packets. Distribution of average sizes of packets belonging to bulk TCP flows is as follows:

Table 2. Packet Sizes (Bulk TCP)

Packet Size Packets
Small (<100B)0.82% 1.230G
Medium (100-1400B)4.78% 7.170G
Large (1401-1500B)93.75% 140.6G
Jumbo (>1500B)0.65% 980.1M
Total100.00% 150.0G

We show what applications transfer large amounts of data in the following table. Note that this is bulk TCP traffic only; full data set usage is presented in the next section.

Table 3. Aggregated Application Types (Bulk TCP)

Traffic Type OctetsPacketsFlows
Data Transfers18.62% 42.19T 19.42% 29.12G 23.48% 1.817M
Encrypted Traffic7.50% 16.99T 7.82% 11.73G 6.65% 514.9k
Measurement5.99% 13.58T 3.51% 5.258G 0.49% 38.21k
Advanced Apps5.11% 11.58T 5.25% 7.868G 6.63% 513.2k
File Sharing3.95% 8.943T 4.09% 6.136G 3.33% 257.6k
Misc0.39% 885.8G 0.44% 653.6M 0.65% 50.15k
Audio/Video0.29% 662.1G 0.31% 460.1M 0.68% 52.93k
Games0.12% 275.6G 0.13% 197.0M 0.16% 12.26k
Unidentified58.03% 131.5T 59.05% 88.57G 57.92% 4.482M
Total100.00% 226.6T 100.00% 150.0G 100.00% 7.739M

The following are the fastest 10 measurement flows with unique source and destination AS numbers (i.e., for any given pair of source and destination AS numbers, no more than one fastest flow is shown).

Table 4. Fastest Bulk TCP Measurement Flows with Unique AS Source and Destination

Throughput (b/s)Packet size (bytes)Duration (s)Src ASDest ASApplication type
1.082G900010Abilene [11537]Abilene [11537]Iperf
1.071G900014ESNET [3428]Abilene [11537]Iperf
1.061G900011Abilene [11537]ESNET [3428]Iperf
1.050G900010High Performance Computing Modernization Program [668]Abilene [11537]Iperf
855.1M150020SLAC [3671]Unknown [32361]Iperf
650.4M150012Unknown [32361]U Florida [6356]Iperf
510.2M900010Abilene [11537]High Performance Computing Modernization Program [668]Iperf
422.8M150020SLAC [3671]U Florida [6356]Iperf
378.2M150020Brookhaven National Lab [43]U Florida [6356]Iperf
360.4M150014PUNET Technology Ltd.,Taiwan [9270]PUNET Technology Ltd.,Taiwan [10052]Iperf

The following are the fastest 10 non-measurement flows with unique source and destination AS numbers (i.e., for any given pair of source and destination AS numbers, no more than one fastest flow is shown). When unable to determine the application type, we give the source and destination port numbers.

Table 5. Fastest Bulk TCP Non-measurement Flows with Unique AS Source and Destination

Throughput (b/s)Packet size (bytes)Duration (s)Src ASDest ASApplication type
694.1M150011INDIANAGIGAPOP [19782]Fermi National Accelerator Lab [3152]48280 -> 37051
461.0M150016TACCNET [32093]INDIANAGIGAPOP [19782]36692 -> 32770
298.7M150020TACCNET [32093]SDSC [195]33510 -> 32803
275.5M149255APNIC [7575]SURFnet [1103]Shoutcast
264.9M900010INDIANAGIGAPOP [19782]TACCNET [32093]44333 -> 33341
199.8M150021NASA-ESDIS-NET [22767]AMPATH [20080]Hotline
198.7M148112NASA-HPCC-ESS [7847]UCAR [194]Hotline
183.1M150010NASA-ESDIS-NET [22767]UCAR [194]Hotline
181.9M150010SDSC [195]TACCNET [32093]54652 -> 33476
178.2M150014UUNET Dual-Homed customers [2833]BWI-GIGA-POP [10886]HTTP

We also compute the average concurrency of bulk TCP flows for the week (by adding durations of all captured flows and dividing the result by the by the duration of the week). This week's average number of concurrent bulk TCP flows: 628.0.

Full Data Set

In addition to bulk TCP flows data, we provide statistics that characterize the overall composition of the complete data set (everything that transited the Abilene network this week).

The following table describes what kinds of traffic went through the network (multiple applications are aggregated into classes):

Table 6. Aggregated Application Types (Full Data Set)

Type OctetsPackets
Data Transfers21.51% 147.1T 26.75% 202.5G
Encrypted Traffic4.86% 33.26T 8.55% 64.71G
Audio/Video2.86% 19.55T 2.73% 20.63G
Advanced Apps2.83% 19.37T 2.78% 21.03G
Measurement2.72% 18.62T 2.34% 17.68G
File Sharing2.24% 15.29T 2.47% 18.70G
Misc1.57% 10.75T 3.63% 27.50G
Games0.25% 1.729T 0.41% 3.108G
Unidentified61.15% 418.3T 50.34% 381.1G
Total100.00% 684.0T 100.00% 757.0G

This table is available additionally in the following more verbose version (no applications are aggregated into classes, but class composition is shown):

Table 7. Detailed Application Types (Full Data Set)

Traffic type OctetsPackets
Data Transfers
HTTP
NNTP
FTP
Rsync
---
17.88%
1.42%
1.19%
1.02%
---
122.2T
9.724T
8.169T
6.944T
---
22.85%
1.54%
1.32%
1.04%
---
172.9G
11.69G
9.993G
7.878G
Encrypted Traffic
SSH
HTTPS
IPsec ESP
IPsec AH
IPsec IKE
---
3.06%
1.49%
0.30%
0.01%
0.00%
---
20.90T
10.20T
2.052T
90.44G
3.459G
---
5.69%
2.45%
0.39%
0.02%
0.00%
---
43.07G
18.51G
2.951G
156.1M
17.30M
Audio/Video
Any-Source Multicast
Real Player
Windows Media
Backbone Radio
H.323 Signaling
StreamWorks
Subset of VoIP
Camarades webcams
Single-Source Multicast
---
2.20%
0.56%
0.08%
0.01%
0.01%
0.00%
0.00%
0.00%
0.00%
---
15.04T
3.859T
548.0G
50.45G
41.28G
10.00G
1.504G
390.1M
0.000
---
1.93%
0.70%
0.08%
0.01%
0.01%
0.00%
0.00%
0.00%
0.00%
---
14.59G
5.299G
592.9M
65.94M
58.99M
12.87M
3.473M
1.232M
0.000
Advanced Apps
UNIDATA LDM
McIDAS
BBCP
IBP
GsiFTP
BBFTP
---
2.64%
0.12%
0.06%
0.00%
0.00%
0.00%
---
18.06T
805.8G
435.7G
32.48G
21.62G
17.88G
---
2.55%
0.13%
0.08%
0.00%
0.01%
0.01%
---
19.28G
1.013G
583.2M
30.43M
53.12M
77.69M
Measurement
Iperf
ICMP
IPMP
---
2.63%
0.09%
0.00%
---
17.99T
625.6G
2.728M
---
1.16%
1.18%
0.00%
---
8.789G
8.895G
37.90k
File Sharing
Audiogalaxy
Hotline
BitTorrent
Shoutcast
eDonkey2000
Gnutella
FastTrack
WinMX
Blubster
Freenet
Carracho
Neo-Modus
Direct Connect++
---
1.10%
0.50%
0.28%
0.24%
0.08%
0.02%
0.00%
0.00%
0.00%
0.00%
0.00%
0.00%
0.00%
---
7.523T
3.417T
1.925T
1.626T
579.5G
167.9G
33.61G
14.61G
2.325G
1.971G
1.880G
512.7M
19.36M
---
1.12%
0.47%
0.38%
0.35%
0.09%
0.05%
0.01%
0.00%
0.00%
0.00%
0.00%
0.00%
0.00%
---
8.495G
3.554G
2.887G
2.614G
691.1M
351.6M
55.62M
21.08M
25.80M
2.047M
2.941M
1.080M
305.3k
Misc
Mail
Squid
DNS
Port 0
AFS
X11
IRC
NFS
NTP
Telnet
MS Windows
SOCKS
IDENT
AOL AIM
SNMP
RPC Portmapper
RTIP
---
0.87%
0.25%
0.15%
0.13%
0.06%
0.05%
0.02%
0.01%
0.01%
0.01%
0.00%
0.00%
0.00%
0.00%
0.00%
0.00%
0.00%
---
5.963T
1.676T
1.049T
887.7G
438.2G
368.7G
122.3G
87.52G
40.39G
39.84G
33.16G
15.00G
14.33G
6.834G
6.526G
256.6M
20.65M
---
1.67%
0.37%
1.06%
0.11%
0.10%
0.08%
0.05%
0.01%
0.07%
0.05%
0.04%
0.00%
0.01%
0.00%
0.01%
0.00%
0.00%
---
12.61G
2.806G
8.057G
851.1M
768.4M
624.2M
345.6M
111.3M
530.7M
367.2M
299.9M
23.98M
38.27M
10.87M
51.14M
3.212M
458.1k
Games
DirectX
Battlenet
Asheron
Half-Life
Spy Arcade
Quake
Starsiege Tribes
---
0.16%
0.04%
0.03%
0.01%
0.01%
0.01%
0.00%
---
1.064T
274.2G
202.2G
72.99G
58.90G
48.47G
8.233G
---
0.22%
0.08%
0.02%
0.06%
0.01%
0.01%
0.00%
---
1.668G
621.0M
152.4M
490.2M
72.85M
87.78M
15.54M
Unidentified
Unidentified
---
61.15%
---
418.3T
---
50.34%
---
381.1G
Total
Total
---
100.00%
---
684.0T
---
100.00%
---
757.0G

The following table summarizes use of most popular IPv4 protocols:

Table 8. IP Protocols Distribution (Full Data set)

Protocols OctetsPackets
ICMP[1]0.09% 625.6G 1.18% 8.895G
IGMP[2]0.00% 52.13M 0.00% 1.473M
IP-ENCAP[4]0.11% 723.6G 0.09% 711.2M
TCP[6]65.91% 450.8T 76.45% 578.7G
UDP[17]19.29% 131.9T 10.71% 81.11G
IPv6[41]0.00% 16.44G 0.00% 23.62M
GRE[47]14.10% 96.45T 10.95% 82.85G
ESP[50]0.30% 2.052T 0.39% 2.951G
AX.25[93]0.00% 159.4k 0.00% 3.800k
PIM[103]0.00% 3.468G 0.00% 34.31M
IPMP[169]0.00% 2.728M 0.00% 37.90k
Other0.20% 1.343T 0.23% 1.721G
Total100.00% 684.0T 100.00% 757.0G

We compute average packet size of each flow by dividing the number of octets in a flow by the number of packets. Distribution of (average) packet sizes is as follows:

Table 9. Packet Sizes (Full Data Set)

Packet Size Packets
Small (<100B)40.33% 305.2G
Medium (100-1400B)16.61% 125.7G
Large (1401-1500B)41.10% 311.1G
Jumbo (>1500B)1.95% 14.79G
Total100.00% 757.0G

We only track DSCP values for which special treatment was defined by Internet2 QoS working group (and the default of DSCP=0):

Table 10. Important DSCP Values (Full Data Set)

Type OctetsPackets
Best effort [DSCP=0]95.91% 656.0T 94.74% 717.2G
Scavenger [DSCP=8]0.21% 1.457T 0.30% 2.260G
EF [DSCP=46]0.00% 31.90G 0.02% 134.8M
Other3.87% 26.47T 4.94% 37.40G
Total100.00% 684.0T 100.00% 757.0G

We collect statistics about ECN-capable traffic:

Table 11. ECN-Capable Traffic

Type OctetsPackets
ECN-Capable0.56% 3.800T 0.56% 4.242G

To facilitate detection of emerging applications, we present statistics about frequently encountered unidentified port numbers (no distinction is made in this table between TCP and UDP):

Table 12. Frequent Unidentified Ports

Port OctetsPackets
30017.25% 49.59T 0.82% 6.201G
30007.23% 49.44T 0.81% 6.134G
10527.20% 49.24T 0.80% 6.066G
10517.17% 49.06T 0.80% 6.041G
200003.53% 24.14T 2.74% 20.75G