Internet2 NetFlow: Weekly Reports: Week of 20090309

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

Introduction

You are looking at the weekly Abilene network usage report for the week of 20090309 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 38.60% of octets and 19.70% 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 1.398M 1 10.05M
5 1.496M 8 10.50M
10 1.615M 15 10.95M
50 3.392M 57 18.07M
90 14.62M 59 53.85M
95 25.51M 59 83.85M
99 81.45M 59 170.6M
99.9 197.4M 59 505.5M
99.99 390.6M 59 1.042G
99.999 979.4M 60 2.720G
100 8.107G 63 45.11G

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)1.28% 3.895G
Medium (100-1400B)9.94% 30.24G
Large (1401-1500B)88.74% 270.0G
Jumbo (>1500B)0.05% 140.3M
Total100.00% 304.3G

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 Transfers32.13% 140.5T 32.14% 97.82G 39.98% 5.976M
Encrypted Traffic11.70% 51.19T 12.40% 37.74G 8.56% 1.280M
Advanced Apps3.41% 14.90T 3.37% 10.25G 4.57% 682.9k
File Sharing2.88% 12.61T 2.89% 8.795G 2.28% 341.0k
Measurement0.76% 3.329T 0.69% 2.089G 0.19% 28.40k
Misc0.69% 3.018T 0.77% 2.341G 1.16% 173.8k
Games0.23% 1.023T 0.24% 720.0M 0.29% 43.76k
Audio/Video0.23% 999.4G 0.24% 725.4M 0.47% 69.81k
Unidentified47.97% 209.8T 47.26% 143.8G 42.49% 6.351M
Total100.00% 437.4T 100.00% 304.3G 100.00% 14.94M

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
8.107G900016Abilene [11537]Abilene [11537]Iperf
999.5M150015APAN-JP [7660]Abilene [11537]Iperf
603.8M150015Brookhaven National Lab [43]Unknown [32361]Iperf
442.3M150013Unknown [32361]Unknown [25776]Iperf
427.3M150012ESnet-West [292]Unknown [32361]Iperf
284.0M149627S Methodist U [1832]Unknown [32361]Iperf
260.5M149633S Methodist U [1832]Brookhaven National Lab [43]Iperf
228.5M150011Unknown [32361]SWITCH [559]Iperf
225.3M149012Unknown [32361]S Methodist U [1832]Iperf
190.3M150016NASA-ESDIS-NET [22767]Israeli Academic and Research Network [378]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
1.016G900022Abilene [11537]Abilene [11537]5017 -> 5017
650.1M150043Unknown [32440]INDIANAGIGAPOP [19782]1021 -> 988
649.6M150037INDIANAGIGAPOP [19782]Unknown [32440]988 -> 1022
581.6M149910U Tennessee (UTK) [3450]Abilene [11537]65080 -> 3002
515.5M900010NASA-HPCC-ESS [7847]Abilene [11537]57017 -> 5101
489.0M900011High Performance Computing Modernization Program [668]Abilene [11537]52322 -> 5101
413.0M150011Abilene [11537]Merit [237]Rsync
412.3M150020Network for Education and Research in Oregon [3701]Indiana [87]Rsync
410.7M150010California SU [2152]Abilene [11537]58685 -> 3002
406.3M144913NASA Internet [297]U Wisconsin [59]9500 -> 47255

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: 1.178k.

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 Transfers43.97% 498.2T 44.37% 685.4G
Encrypted Traffic8.06% 91.40T 8.00% 123.6G
Advanced Apps2.20% 24.97T 1.77% 27.32G
File Sharing2.03% 22.98T 1.78% 27.55G
Misc1.98% 22.47T 4.62% 71.32G
Audio/Video1.08% 12.24T 0.87% 13.47G
Measurement0.47% 5.311T 0.49% 7.519G
Games0.36% 4.094T 0.62% 9.534G
Unidentified39.84% 451.5T 37.49% 579.1G
Total100.00% 1.133P 100.00% 1.544T

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
Rsync
FTP
NNTP
---
40.89%
1.36%
1.25%
0.47%
---
463.4T
15.40T
14.11T
5.275T
---
41.91%
1.01%
0.91%
0.54%
---
647.4G
15.58G
14.07G
8.349G
Encrypted Traffic
SSH
HTTPS
IPsec ESP
IPsec AH
IPsec IKE
---
4.52%
2.89%
0.64%
0.01%
0.00%
---
51.21T
32.77T
7.242T
132.0G
43.55G
---
3.83%
3.45%
0.65%
0.03%
0.05%
---
59.10G
53.24G
10.10G
456.9M
749.6M
Advanced Apps
UNIDATA LDM
McIDAS
BBCP
IBP
BBFTP
GsiFTP
---
2.02%
0.12%
0.04%
0.02%
0.01%
0.00%
---
22.86T
1.378T
421.9G
216.6G
60.84G
31.82G
---
1.64%
0.07%
0.03%
0.01%
0.01%
0.00%
---
25.35G
1.154G
420.2M
221.5M
103.8M
71.96M
File Sharing
Audiogalaxy
Hotline
BitTorrent
Shoutcast
eDonkey2000
Gnutella
FastTrack
WinMX
Carracho
Blubster
Freenet
Neo-Modus
Direct Connect++
---
0.98%
0.38%
0.33%
0.24%
0.07%
0.02%
0.01%
0.00%
0.00%
0.00%
0.00%
0.00%
0.00%
---
11.07T
4.264T
3.758T
2.762T
754.8G
200.6G
111.9G
32.71G
10.07G
6.644G
3.422G
997.2M
115.2M
---
0.72%
0.26%
0.36%
0.34%
0.06%
0.03%
0.01%
0.00%
0.00%
0.01%
0.00%
0.00%
0.00%
---
11.07G
3.984G
5.627G
5.240G
910.3M
410.4M
149.5M
55.52M
15.50M
80.57M
4.732M
1.980M
265.7k
Misc
Mail
DNS
Squid
X11
AFS
Port 0
MS Windows
IRC
NFS
NTP
RTIP
Telnet
SOCKS
AOL AIM
SNMP
IDENT
RPC Portmapper
---
1.36%
0.23%
0.18%
0.07%
0.05%
0.04%
0.02%
0.01%
0.01%
0.01%
0.01%
0.00%
0.00%
0.00%
0.00%
0.00%
0.00%
---
15.36T
2.556T
2.053T
785.8G
592.4G
447.1G
233.0G
98.86G
69.13G
64.77G
56.90G
56.59G
29.82G
28.04G
17.32G
12.32G
1.018G
---
1.89%
1.87%
0.24%
0.10%
0.07%
0.08%
0.21%
0.03%
0.01%
0.05%
0.03%
0.02%
0.00%
0.00%
0.01%
0.00%
0.00%
---
29.17G
28.94G
3.639G
1.489G
1.020G
1.245G
3.283G
446.5M
101.5M
848.0M
486.9M
354.1M
57.05M
36.70M
143.3M
47.81M
3.447M
Audio/Video
Any-Source Multicast
Real Player
Windows Media
H.323 Signaling
Backbone Radio
StreamWorks
Camarades webcams
Subset of VoIP
Single-Source Multicast
---
0.55%
0.48%
0.03%
0.01%
0.01%
0.00%
0.00%
0.00%
0.00%
---
6.279T
5.443T
305.8G
117.9G
59.67G
22.70G
10.32G
5.655G
137.3M
---
0.36%
0.47%
0.02%
0.01%
0.01%
0.00%
0.00%
0.00%
0.00%
---
5.562G
7.220G
375.8M
138.6M
104.3M
37.87M
17.28M
13.74M
101.3k
Measurement
Iperf
ICMP
IPMP
---
0.44%
0.03%
0.00%
---
4.991T
319.7G
900.0k
---
0.32%
0.17%
0.00%
---
4.891G
2.628G
600.0
Games
DirectX
Battlenet
Half-Life
Spy Arcade
Quake
Asheron
Starsiege Tribes
---
0.20%
0.05%
0.05%
0.04%
0.02%
0.00%
0.00%
---
2.227T
603.4G
551.8G
397.2G
203.6G
56.57G
54.38G
---
0.23%
0.10%
0.22%
0.03%
0.03%
0.01%
0.01%
---
3.477G
1.512G
3.436G
412.4M
505.6M
94.60M
95.23M
Unidentified
Unidentified
---
39.84%
---
451.5T
---
37.49%
---
579.1G
Total
Total
---
100.00%
---
1.133P
---
100.00%
---
1.544T

The following table summarizes use of most popular IPv4 protocols:

Table 8. IP Protocols Distribution (Full Data set)

Protocols OctetsPackets
ICMP[1]0.03% 319.7G 0.17% 2.628G
IGMP[2]0.00% 43.79M 0.00% 1.284M
IP-ENCAP[4]0.01% 124.9G 0.01% 123.6M
TCP[6]90.54% 1.026P 85.56% 1.321T
UDP[17]7.37% 83.52T 11.97% 184.9G
IPv6[41]0.04% 481.3G 0.04% 693.6M
GRE[47]1.29% 14.62T 0.97% 14.92G
ESP[50]0.64% 7.242T 0.65% 10.10G
AX.25[93]0.00% 6.600k 0.00% 100.0
PIM[103]0.00% 5.438G 0.00% 46.83M
IPMP[169]0.00% 900.0k 0.00% 600.0
Other0.08% 927.7G 0.63% 9.707G
Total100.00% 1.133P 100.00% 1.544T

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)41.14% 635.5G
Medium (100-1400B)21.51% 332.3G
Large (1401-1500B)37.20% 574.7G
Jumbo (>1500B)0.15% 2.333G
Total100.00% 1.544T

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]95.62% 1.083P 96.18% 1.485T
Scavenger [DSCP=8]0.13% 1.468T 0.16% 2.467G
EF [DSCP=46]0.01% 77.01G 0.02% 313.7M
Other4.24% 48.08T 3.64% 56.22G
Total100.00% 1.133P 100.00% 1.544T

We collect statistics about ECN-capable traffic:

Table 11. ECN-Capable Traffic

Type OctetsPackets
ECN-Capable0.14% 1.583T 0.08% 1.214G

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
330011.78% 20.12T 0.88% 13.52G
19351.56% 17.64T 2.37% 36.63G
21280.53% 6.019T 0.49% 7.493G
164020.51% 5.813T 0.48% 7.409G
45000.42% 4.765T 0.41% 6.343G