Internet2 NetFlow: Weekly Reports: Week of 20070430

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

Introduction

You are looking at the weekly Abilene network usage report for the week of 20070430 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 33.22% of octets and 15.14% 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 1.371M 4 10.05M
5 1.459M 13 10.43M
10 1.558M 22 10.95M
50 2.917M 58 17.25M
90 10.11M 59 46.65M
95 14.37M 59 63.75M
99 46.22M 59 130.0M
99.9 995.6M 119 3.468G
99.99 1.068G 119 3.751G
99.999 1.698G 121 3.817G
100 266.4G 127 5.507G

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)1.91% 1.760G
Medium (100-1400B)6.82% 6.294G
Large (1401-1500B)86.43% 79.75G
Jumbo (>1500B)4.84% 4.461G
Total100.00% 92.26G

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
Measurement24.29% 40.33T 7.55% 6.966G 0.83% 42.92k
Data Transfers21.15% 35.11T 26.19% 24.16G 30.59% 1.580M
Encrypted Traffic8.39% 13.93T 9.56% 8.823G 7.25% 374.4k
Advanced Apps4.61% 7.647T 5.63% 5.195G 6.88% 355.5k
File Sharing3.23% 5.365T 4.05% 3.733G 3.28% 169.3k
Misc0.41% 678.2G 0.53% 487.9M 0.80% 41.48k
Audio/Video0.23% 379.4G 0.29% 263.3M 0.54% 27.70k
Games0.18% 302.7G 0.24% 218.6M 0.29% 14.95k
Unidentified37.52% 62.29T 45.97% 42.41G 49.55% 2.560M
Total100.00% 166.0T 100.00% 92.26G 100.00% 5.167M

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
1.118G900012Abilene [11537]Abilene [11537]Iperf
1.061G900011Abilene [11537]ESNET [3428]Iperf
1.039G900010High Performance Computing Modernization Program [668]Abilene [11537]Iperf
1.021G900020ESNET [3428]Abilene [11537]Iperf
839.9M150020SLAC [3671]Unknown [32361]Iperf
417.6M900030Unknown [0]Abilene [11537]Iperf
406.3M900011Abilene [11537]High Performance Computing Modernization Program [668]Iperf
336.8M150012Brookhaven National Lab [43]U Florida [6356]Iperf
262.7M900014Unknown [32361]SWITCH [559]Iperf
253.9M150018Unknown [32361]U Florida [6356]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
962.0M900046SDSC [195]NCSA [1224]39291 -> 5150
487.6M150011NCSA [1224]U Virginia, Charlottesville [225]47799 -> 50939
264.0M150017Network for Education and Research in Oregon [3701]Indiana [87]Rsync
213.3M150016NASA-ESDIS-NET [22767]AMPATH [20080]Hotline
201.7M147914NASA-HPCC-ESS [7847]UCAR [194]Hotline
161.0M150028NASA-ESDIS-NET [22767]EROS Data Center - USGS [5663]Hotline
146.3M900060TACCNET [32093]High Performance Computing Modernization Program [668]SSH
142.2M149912Unknown [0]NIST-BOULDER [2648]SSH
135.6M150025USF [5661]CMU [9]HTTP
130.1M150014Network for Education and Research in Oregon [3701]UUNET Dual-Homed customers [2852]Rsync

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: 432.0.

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 Transfers29.16% 145.7T 33.00% 201.1G
Measurement10.48% 52.41T 3.16% 19.27G
Encrypted Traffic5.64% 28.21T 6.67% 40.64G
Audio/Video5.62% 28.10T 4.30% 26.19G
Advanced Apps2.74% 13.71T 2.56% 15.59G
File Sharing2.71% 13.53T 3.25% 19.80G
Misc1.51% 7.524T 2.96% 18.06G
Games0.42% 2.107T 0.88% 5.358G
Unidentified41.71% 208.5T 43.21% 263.3G
Total100.00% 499.9T 100.00% 609.3G

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
---
25.18%
1.72%
1.30%
0.97%
---
125.8T
8.592T
6.490T
4.830T
---
29.22%
1.63%
1.29%
0.87%
---
178.0G
9.919G
7.848G
5.296G
Measurement
Iperf
ICMP
IPMP
---
10.38%
0.10%
0.00%
---
51.90T
501.4G
8.330M
---
1.81%
1.36%
0.00%
---
11.00G
8.275G
115.7k
Encrypted Traffic
SSH
HTTPS
IPsec ESP
IPsec AH
IPsec IKE
---
3.30%
2.09%
0.24%
0.02%
0.00%
---
16.48T
10.43T
1.202T
81.90G
1.442G
---
3.02%
3.38%
0.25%
0.02%
0.00%
---
18.37G
20.60G
1.546G
116.5M
8.175M
Audio/Video
Any-Source Multicast
Real Player
Windows Media
H.323 Signaling
Backbone Radio
StreamWorks
Camarades webcams
Subset of VoIP
Single-Source Multicast
---
5.00%
0.53%
0.08%
0.01%
0.01%
0.00%
0.00%
0.00%
0.00%
---
24.98T
2.633T
377.8G
61.20G
31.30G
14.44G
1.809G
1.375G
0.000
---
3.59%
0.61%
0.07%
0.02%
0.01%
0.00%
0.00%
0.00%
0.00%
---
21.88G
3.712G
434.8M
92.03M
42.42M
22.80M
4.628M
3.907M
0.000
Advanced Apps
UNIDATA LDM
McIDAS
BBCP
BBFTP
GsiFTP
IBP
---
2.61%
0.10%
0.02%
0.00%
0.00%
0.00%
---
13.06T
491.1G
118.0G
17.31G
16.56G
736.6M
---
2.41%
0.11%
0.02%
0.01%
0.01%
0.00%
---
14.71G
665.1M
129.2M
53.27M
36.46M
1.624M
File Sharing
Audiogalaxy
BitTorrent
Hotline
Shoutcast
eDonkey2000
Gnutella
FastTrack
WinMX
Blubster
Carracho
Freenet
Neo-Modus
Direct Connect++
---
0.87%
0.82%
0.45%
0.32%
0.12%
0.11%
0.01%
0.00%
0.00%
0.00%
0.00%
0.00%
0.00%
---
4.346T
4.081T
2.254T
1.623T
590.9G
545.1G
49.61G
17.93G
12.71G
6.963G
927.1M
467.5M
3.811M
---
0.80%
1.25%
0.39%
0.40%
0.12%
0.24%
0.01%
0.01%
0.02%
0.00%
0.00%
0.00%
0.00%
---
4.877G
7.645G
2.389G
2.408G
738.6M
1.470G
81.71M
34.21M
146.6M
12.07M
1.551M
2.001M
12.30k
Misc
Mail
Squid
DNS
Port 0
X11
AFS
Telnet
IRC
NTP
NFS
MS Windows
AOL AIM
IDENT
SOCKS
RPC Portmapper
SNMP
RTIP
---
0.85%
0.21%
0.13%
0.12%
0.10%
0.03%
0.01%
0.01%
0.01%
0.01%
0.01%
0.01%
0.00%
0.00%
0.00%
0.00%
0.00%
---
4.247T
1.038T
658.5G
620.3G
515.2G
133.3G
48.16G
46.09G
43.61G
42.65G
40.25G
38.55G
18.70G
17.01G
11.64G
4.575G
33.35M
---
1.25%
0.30%
0.81%
0.13%
0.14%
0.05%
0.04%
0.03%
0.09%
0.02%
0.06%
0.01%
0.01%
0.01%
0.00%
0.00%
0.00%
---
7.635G
1.838G
4.951G
782.3M
845.5M
317.7M
267.9M
187.5M
572.4M
118.2M
369.0M
52.61M
46.93M
33.61M
16.99M
30.28M
323.1k
Games
DirectX
Battlenet
Half-Life
Quake
Spy Arcade
Asheron
Starsiege Tribes
---
0.29%
0.06%
0.05%
0.01%
0.01%
0.00%
0.00%
---
1.437T
283.8G
233.8G
66.85G
55.15G
23.67G
7.107G
---
0.39%
0.12%
0.32%
0.03%
0.01%
0.01%
0.00%
---
2.392G
731.6M
1.927G
158.0M
72.61M
57.15M
19.53M
Unidentified
Unidentified
---
41.71%
---
208.5T
---
43.21%
---
263.3G
Total
Total
---
100.00%
---
499.9T
---
100.00%
---
609.3G

The following table summarizes use of most popular IPv4 protocols:

Table 8. IP Protocols Distribution (Full Data set)

Protocols OctetsPackets
ICMP[1]0.10% 501.4G 1.36% 8.275G
IGMP[2]0.00% 243.0M 0.00% 7.431M
IP-ENCAP[4]0.00% 549.5M 0.00% 4.021M
TCP[6]78.60% 392.9T 78.35% 477.4G
UDP[17]10.66% 53.29T 11.17% 68.09G
IPv6[41]0.00% 1.566G 0.00% 7.145M
GRE[47]10.13% 50.64T 8.58% 52.31G
ESP[50]0.24% 1.202T 0.25% 1.546G
AX.25[93]0.00% 197.3k 0.00% 4.600k
PIM[103]0.00% 3.768G 0.01% 41.69M
IPMP[169]0.00% 8.330M 0.00% 115.7k
Other0.26% 1.324T 0.27% 1.667G
Total100.00% 499.9T 100.00% 609.3G

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)39.65% 241.6G
Medium (100-1400B)24.18% 147.3G
Large (1401-1500B)34.83% 212.2G
Jumbo (>1500B)1.34% 8.159G
Total100.00% 609.3G

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]95.73% 478.5T 95.24% 580.3G
Scavenger [DSCP=8]0.57% 2.859T 0.65% 3.969G
EF [DSCP=46]0.00% 8.119G 0.01% 33.87M
Other3.69% 18.45T 4.10% 24.99G
Total100.00% 499.9T 100.00% 609.3G

We collect statistics about ECN-capable traffic:

Table 11. ECN-Capable Traffic

Type OctetsPackets
ECN-Capable0.79% 3.937T 0.73% 4.427G

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
200002.51% 12.56T 1.75% 10.63G
200011.70% 8.503T 1.17% 7.128G
400001.43% 7.125T 1.13% 6.864G
200021.04% 5.186T 0.74% 4.522G
21280.63% 3.134T 0.64% 3.915G