Internet2 NetFlow: Weekly Reports: Week of 20091221

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

Introduction

You are looking at the weekly Abilene network usage report for the week of 20091221 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 51.46% of octets and 28.56% 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 1.400M 1 10.10M
5 1.521M 4 10.55M
10 1.671M 10 11.21M
50 4.018M 58 19.76M
90 25.38M 59 70.80M
95 49.25M 59 116.2M
99 127.4M 59 258.8M
99.9 261.8M 59 689.5M
99.99 750.7M 59 2.345G
99.999 2.919G 60 3.716G
100 158.2G 62 11.78G

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)1.63% 4.846G
Medium (100-1400B)6.57% 19.55G
Large (1401-1500B)91.73% 273.0G
Jumbo (>1500B)0.07% 205.9M
Total100.00% 297.6G

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 Transfers21.61% 92.05T 21.66% 64.48G 29.63% 3.466M
Encrypted Traffic7.82% 33.29T 8.22% 24.48G 6.30% 737.5k
Advanced Apps4.41% 18.76T 4.38% 13.02G 6.69% 783.1k
File Sharing3.92% 16.68T 3.87% 11.50G 2.85% 333.9k
Measurement1.77% 7.532T 1.98% 5.906G 0.23% 27.32k
Misc0.58% 2.488T 0.61% 1.809G 1.18% 137.7k
Games0.15% 617.8G 0.15% 439.4M 0.20% 23.77k
Audio/Video0.05% 209.8G 0.05% 149.1M 0.12% 13.58k
Unidentified59.70% 254.2T 59.08% 175.8G 52.79% 6.176M
Total100.00% 425.9T 100.00% 297.6G 100.00% 11.70M

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
4.936G824415ESnet-West [292]Abilene [11537]Iperf
3.719G824414ESnet-East [291]Abilene [11537]Iperf
1.293G146420Abilene [11537]ESnet-West [292]Iperf
1.025G900014UIUC [38]Abilene [11537]Iperf
1.009G900020UIUC [38]Argonne [683]Iperf
993.0M150014Unknown [32361]U Chicago [160]Iperf
982.0M150019Unknown [32361]Boston U [111]Iperf
974.4M150012UNL [7896]Purdue [17]Iperf
972.8M148715Unknown [32361]Stephen F. Austin State U [3634]Iperf
972.1M150019UIUC [38]U Chicago [160]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
1.444G146412Abilene [11537]ESnet-East [291]5062 -> 5062
1.334G146419Abilene [11537]ESnet-West [292]5065 -> 5065
1.018G900012UIUC [38]Abilene [11537]5012 -> 5012
972.4M148720Unknown [32361]Stephen F. Austin State U [3634]5010 -> 5010
953.2M146019Stephen F. Austin State U [3634]SDSC [195]5010 -> 5010
830.2M146420Stephen F. Austin State U [3634]U Florida [6356]5012 -> 5012
798.1M146415Stephen F. Austin State U [3634]Unknown [32361]5019 -> 5019
779.6M146414Georgia Institute of Technology [2637]Stephen F. Austin State U [3634]5015 -> 5015
774.6M146413VANDERBILT [7212]Stephen F. Austin State U [3634]5013 -> 5013
754.1M150011Unknown [32361]Universiy of California, San Diego CA [7377]35467 -> 60596

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: 890.0.

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 Transfers32.36% 267.8T 34.38% 358.3G
Encrypted Traffic7.74% 64.02T 8.87% 92.47G
Advanced Apps3.53% 29.20T 2.97% 30.99G
File Sharing2.64% 21.83T 2.29% 23.89G
Misc1.99% 16.44T 5.09% 53.05G
Measurement1.16% 9.563T 1.47% 15.36G
Audio/Video0.56% 4.652T 0.66% 6.847G
Games0.22% 1.809T 0.30% 3.081G
Unidentified49.82% 412.3T 43.96% 458.1G
Total100.00% 827.6T 100.00% 1.042T

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
---
29.74%
1.50%
0.80%
0.32%
---
246.1T
12.39T
6.642T
2.654T
---
32.01%
1.26%
0.71%
0.40%
---
333.6G
13.16G
7.347G
4.187G
Encrypted Traffic
SSH
HTTPS
IPsec ESP
IPsec AH
IPsec IKE
---
3.69%
3.07%
0.97%
0.01%
0.00%
---
30.54T
25.36T
8.041T
60.97G
9.987G
---
3.62%
4.18%
1.05%
0.02%
0.00%
---
37.76G
43.59G
10.89G
169.3M
46.26M
Advanced Apps
UNIDATA LDM
IBP
McIDAS
BBCP
GsiFTP
BBFTP
---
2.96%
0.24%
0.18%
0.15%
0.01%
0.00%
---
24.46T
1.977T
1.500T
1.211T
41.73G
11.84G
---
2.58%
0.16%
0.11%
0.10%
0.01%
0.01%
---
26.90G
1.684G
1.186G
1.052G
102.4M
62.67M
File Sharing
Audiogalaxy
Hotline
Shoutcast
BitTorrent
eDonkey2000
FastTrack
Gnutella
WinMX
Carracho
Freenet
Blubster
Neo-Modus
Direct Connect++
---
1.40%
0.89%
0.23%
0.07%
0.03%
0.01%
0.01%
0.00%
0.00%
0.00%
0.00%
0.00%
0.00%
---
11.57T
7.400T
1.862T
605.0G
261.3G
46.11G
43.77G
24.12G
7.352G
1.294G
493.7M
403.9M
5.043M
---
1.08%
0.63%
0.46%
0.07%
0.03%
0.01%
0.01%
0.00%
0.00%
0.00%
0.00%
0.00%
0.00%
---
11.30G
6.585G
4.821G
699.2M
305.2M
65.60M
64.30M
33.17M
12.37M
1.626M
5.622M
751.0k
57.50k
Misc
Mail
DNS
Squid
X11
Port 0
MS Windows
NTP
AFS
RTIP
IRC
NFS
SNMP
Telnet
SOCKS
IDENT
AOL AIM
RPC Portmapper
---
1.33%
0.20%
0.18%
0.10%
0.06%
0.04%
0.03%
0.02%
0.01%
0.01%
0.00%
0.00%
0.00%
0.00%
0.00%
0.00%
0.00%
---
10.96T
1.673T
1.519T
813.0G
526.9G
293.2G
253.8G
149.7G
99.37G
53.69G
38.55G
20.54G
14.93G
9.072G
5.301G
5.113G
251.7M
---
2.37%
1.23%
0.30%
0.10%
0.08%
0.50%
0.32%
0.04%
0.08%
0.02%
0.01%
0.01%
0.01%
0.00%
0.00%
0.00%
0.00%
---
24.64G
12.77G
3.143G
1.057G
840.6M
5.248G
3.333G
462.7M
862.8M
247.3M
76.07M
139.9M
147.0M
20.45M
40.35M
6.205M
2.207M
Measurement
Iperf
ICMP
IPMP
---
0.99%
0.16%
0.00%
---
8.211T
1.351T
0.000
---
0.75%
0.72%
0.00%
---
7.844G
7.517G
0.000
Audio/Video
Any-Source Multicast
Real Player
Windows Media
Backbone Radio
H.323 Signaling
StreamWorks
Camarades webcams
Subset of VoIP
Single-Source Multicast
---
0.36%
0.17%
0.02%
0.00%
0.00%
0.00%
0.00%
0.00%
0.00%
---
2.967T
1.437T
158.0G
34.19G
32.17G
17.69G
3.853G
1.301G
0.000
---
0.44%
0.19%
0.01%
0.00%
0.00%
0.00%
0.00%
0.00%
0.00%
---
4.567G
2.007G
155.9M
44.89M
38.31M
20.59M
9.268M
3.467M
0.000
Games
DirectX
Battlenet
Quake
Half-Life
Starsiege Tribes
Asheron
Spy Arcade
---
0.16%
0.03%
0.02%
0.01%
0.00%
0.00%
0.00%
---
1.303T
239.1G
126.5G
104.4G
14.29G
14.22G
6.808G
---
0.17%
0.04%
0.02%
0.06%
0.00%
0.00%
0.00%
---
1.759G
408.7M
189.6M
640.7M
32.60M
33.95M
17.22M
Unidentified
Unidentified
---
49.82%
---
412.3T
---
43.96%
---
458.1G
Total
Total
---
100.00%
---
827.6T
---
100.00%
---
1.042T

The following table summarizes use of most popular IPv4 protocols:

Table 8. IP Protocols Distribution (Full Data set)

Protocols OctetsPackets
ICMP[1]0.16% 1.351T 0.72% 7.517G
IGMP[2]0.00% 70.35M 0.00% 1.897M
IP-ENCAP[4]0.01% 104.3G 0.01% 92.81M
TCP[6]90.85% 751.9T 86.85% 905.1G
UDP[17]6.98% 57.74T 10.47% 109.0G
IPv6[41]0.06% 462.1G 0.08% 805.4M
GRE[47]0.94% 7.747T 0.76% 7.868G
ESP[50]0.97% 8.041T 1.05% 10.89G
AX.25[93]0.00% 26.40k 0.00% 400.0
PIM[103]0.01% 92.38G 0.02% 219.9M
IPMP[169]0.00% 0.000 0.00% 0.000
Other0.02% 198.7G 0.05% 524.7M
Total100.00% 827.6T 100.00% 1.042T

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)38.93% 405.7G
Medium (100-1400B)16.97% 176.8G
Large (1401-1500B)43.81% 456.5G
Jumbo (>1500B)0.29% 3.031G
Total100.00% 1.042T

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]95.70% 792.0T 96.46% 1.005T
Scavenger [DSCP=8]0.19% 1.597T 0.13% 1.331G
EF [DSCP=46]0.00% 40.00G 0.01% 156.1M
Other4.10% 33.95T 3.39% 35.36G
Total100.00% 827.6T 100.00% 1.042T

We collect statistics about ECN-capable traffic:

Table 11. ECN-Capable Traffic

Type OctetsPackets
ECN-Capable0.52% 4.280T 0.30% 3.085G

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
19352.79% 23.12T 3.00% 31.25G
330012.56% 21.15T 1.41% 14.66G
330021.35% 11.16T 0.74% 7.677G
200001.10% 9.070T 0.85% 8.858G
600111.08% 8.927T 0.91% 9.474G