Internet2 NetFlow: Weekly Reports: Week of 20070917

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

Introduction

You are looking at the weekly Abilene network usage report for the week of 20070917 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 30.60% of octets and 16.05% 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 1.388M 4 10.06M
5 1.477M 12 10.50M
10 1.584M 21 10.98M
50 2.954M 58 17.54M
90 12.42M 59 55.09M
95 17.78M 59 82.80M
99 44.41M 59 140.7M
99.9 123.4M 112 427.0M
99.99 989.5M 119 3.052G
99.999 1.064G 159 3.772G
100 244.8G 160 26.73G

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)0.43% 672.6M
Medium (100-1400B)6.62% 10.34G
Large (1401-1500B)92.63% 144.7G
Jumbo (>1500B)0.32% 500.1M
Total100.00% 156.2G

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 Transfers24.89% 57.26T 25.29% 39.52G 30.05% 2.396M
Encrypted Traffic7.86% 18.08T 8.00% 12.49G 7.19% 573.8k
File Sharing3.58% 8.229T 3.65% 5.706G 2.99% 238.8k
Advanced Apps3.21% 7.389T 3.25% 5.074G 4.63% 369.2k
Measurement2.85% 6.557T 1.62% 2.534G 0.23% 18.04k
Misc0.64% 1.464T 0.66% 1.029G 0.93% 74.11k
Audio/Video0.36% 829.0G 0.37% 579.1M 0.78% 61.87k
Games0.29% 664.5G 0.30% 476.2M 0.36% 28.47k
Unidentified56.32% 129.5T 56.85% 88.83G 52.85% 4.216M
Total100.00% 230.0T 100.00% 156.2G 100.00% 7.977M

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
1.178G900017Abilene [11537]Abilene [11537]Iperf
1.023G900029Abilene [11537]Unknown [0]Iperf
715.4M150029INDIANAGIGAPOP [19782]Brookhaven National Lab [43]Iperf
644.6M150029JHU [5723]SDSC [195]Iperf
531.4M150060PUNET Technology Ltd.,Taiwan [9270]PUNET Technology Ltd.,Taiwan [10052]Iperf
384.1M142020Unknown [40127]SDSC [195]Iperf
334.6M900010Abilene [11537]High Performance Computing Modernization Program [668]Iperf
325.6M150024U Iowa [3676]SDSC [195]Iperf
214.9M132620SWITCH [559]PSC [1207]Iperf
170.7M150011NASA GSFC [1701]Unknown [25689]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
3.607G900059Science, Technology, and Research Transit Access Point [10764]APAN-JP [7660]35151 -> 40001
3.227G900056Science, Technology, and Research Transit Access Point [10764]Unknown [17934]59447 -> 40001
896.4M900010High Performance Computing Modernization Program [668]Abilene [11537]34902 -> 5101
435.0M145624SWITCH [559]PSC [1207]57628 -> 22222
359.1M900010Abilene [11537]High Performance Computing Modernization Program [668]56077 -> 5101
346.7M150010UCLA [52]APAN-JP [7660]42662 -> 5040
303.5M150027Princeton [88]ORNL [50]55389 -> 54932
282.1M150054UCLA [52]Oregon State U [4201]DirectX
277.6M150025NASA GSFC [1701]Pennsylvania State U [3999]Hotline
256.7M150026Oregon State U [4201]UCLA [52]1618 -> 49000

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: 663.0.

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 Transfers29.55% 222.1T 35.02% 341.0G
Encrypted Traffic5.59% 42.04T 7.25% 70.64G
File Sharing2.44% 18.36T 2.65% 25.78G
Advanced Apps1.90% 14.26T 1.66% 16.17G
Misc1.80% 13.54T 3.99% 38.83G
Audio/Video1.72% 12.90T 1.66% 16.21G
Measurement1.34% 10.07T 1.15% 11.22G
Games0.42% 3.151T 0.80% 7.837G
Unidentified55.24% 415.2T 45.81% 446.0G
Total100.00% 751.7T 100.00% 973.8G

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
---
26.46%
1.12%
1.10%
0.87%
---
198.9T
8.444T
8.247T
6.530T
---
32.17%
0.96%
0.95%
0.93%
---
313.2G
9.392G
9.259G
9.086G
Encrypted Traffic
SSH
HTTPS
IPsec ESP
IPsec AH
IPsec IKE
---
2.74%
2.61%
0.24%
0.01%
0.00%
---
20.58T
19.60T
1.791T
62.88G
5.380G
---
2.61%
4.35%
0.28%
0.01%
0.00%
---
25.40G
42.37G
2.710G
136.4M
22.88M
File Sharing
Audiogalaxy
BitTorrent
Hotline
Shoutcast
eDonkey2000
Gnutella
FastTrack
WinMX
Neo-Modus
Carracho
Blubster
Freenet
Direct Connect++
---
0.90%
0.62%
0.45%
0.23%
0.12%
0.09%
0.01%
0.01%
0.00%
0.00%
0.00%
0.00%
0.00%
---
6.729T
4.687T
3.395T
1.718T
938.2G
708.0G
66.93G
60.84G
30.61G
16.48G
8.860G
1.764G
17.89M
---
0.81%
0.87%
0.35%
0.30%
0.11%
0.17%
0.01%
0.01%
0.00%
0.00%
0.01%
0.00%
0.00%
---
7.849G
8.519G
3.401G
2.950G
1.107G
1.610G
107.4M
79.14M
21.74M
24.50M
110.8M
2.764M
279.5k
Advanced Apps
UNIDATA LDM
McIDAS
IBP
GsiFTP
BBCP
BBFTP
---
1.80%
0.07%
0.02%
0.01%
0.00%
0.00%
---
13.56T
501.5G
112.8G
43.48G
31.93G
11.94G
---
1.56%
0.06%
0.01%
0.01%
0.01%
0.01%
---
15.22G
547.0M
130.0M
98.34M
91.69M
90.62M
Misc
Mail
Port 0
DNS
Squid
X11
AFS
NFS
RPC Portmapper
IRC
Telnet
MS Windows
NTP
AOL AIM
RTIP
SOCKS
IDENT
SNMP
---
0.88%
0.28%
0.21%
0.18%
0.08%
0.06%
0.04%
0.02%
0.01%
0.01%
0.01%
0.01%
0.01%
0.00%
0.00%
0.00%
0.00%
---
6.645T
2.139T
1.553T
1.322T
570.8G
435.1G
292.2G
132.9G
110.6G
106.9G
60.96G
53.27G
45.69G
27.55G
21.90G
17.34G
10.34G
---
1.65%
0.22%
1.36%
0.24%
0.10%
0.09%
0.03%
0.01%
0.04%
0.06%
0.07%
0.07%
0.01%
0.02%
0.01%
0.01%
0.01%
---
16.07G
2.126G
13.20G
2.326G
964.3M
860.6M
260.4M
97.33M
436.5M
625.8M
670.2M
694.9M
62.67M
239.8M
49.92M
58.72M
71.85M
Audio/Video
Any-Source Multicast
Real Player
Windows Media
H.323 Signaling
Backbone Radio
StreamWorks
Subset of VoIP
Camarades webcams
Single-Source Multicast
---
0.97%
0.67%
0.05%
0.02%
0.01%
0.00%
0.00%
0.00%
0.00%
---
7.299T
5.015T
348.7G
126.8G
85.88G
27.35G
3.467G
807.6M
0.000
---
0.78%
0.80%
0.05%
0.02%
0.01%
0.00%
0.00%
0.00%
0.00%
---
7.582G
7.833G
462.4M
159.9M
102.4M
39.22M
29.94M
2.366M
0.000
Measurement
Iperf
ICMP
IPMP
---
1.28%
0.06%
0.00%
---
9.609T
462.7G
3.758M
---
0.50%
0.65%
0.00%
---
4.907G
6.316G
52.20k
Games
DirectX
Battlenet
Half-Life
Spy Arcade
Quake
Asheron
Starsiege Tribes
---
0.25%
0.06%
0.05%
0.03%
0.01%
0.01%
0.00%
---
1.911T
440.9G
384.1G
256.0G
97.28G
39.10G
22.61G
---
0.31%
0.11%
0.31%
0.03%
0.03%
0.01%
0.01%
---
3.039G
1.059G
3.011G
332.0M
248.3M
95.85M
50.61M
Unidentified
Unidentified
---
55.24%
---
415.2T
---
45.81%
---
446.0G
Total
Total
---
100.00%
---
751.7T
---
100.00%
---
973.8G

The following table summarizes use of most popular IPv4 protocols:

Table 8. IP Protocols Distribution (Full Data set)

Protocols OctetsPackets
ICMP[1]0.06% 462.7G 0.65% 6.316G
IGMP[2]0.00% 49.33M 0.00% 1.246M
IP-ENCAP[4]0.03% 248.6G 0.03% 256.4M
TCP[6]76.17% 572.6T 82.03% 798.7G
UDP[17]5.70% 42.87T 11.50% 111.9G
IPv6[41]0.00% 36.77G 0.01% 109.7M
GRE[47]17.77% 133.5T 5.45% 53.10G
ESP[50]0.24% 1.791T 0.28% 2.710G
AX.25[93]0.00% 1.964M 0.00% 9.400k
PIM[103]0.00% 27.77G 0.01% 127.7M
IPMP[169]0.00% 3.758M 0.00% 52.20k
Other0.01% 90.48G 0.05% 470.2M
Total100.00% 751.7T 100.00% 973.8G

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)43.59% 424.5G
Medium (100-1400B)20.88% 203.3G
Large (1401-1500B)33.15% 322.7G
Jumbo (>1500B)2.38% 23.17G
Total100.00% 973.8G

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]96.39% 724.6T 95.71% 932.0G
Scavenger [DSCP=8]0.56% 4.215T 0.76% 7.441G
EF [DSCP=46]0.16% 1.234T 0.10% 990.5M
Other2.88% 21.67T 3.42% 33.33G
Total100.00% 751.7T 100.00% 973.8G

We collect statistics about ECN-capable traffic:

Table 11. ECN-Capable Traffic

Type OctetsPackets
ECN-Capable0.44% 3.304T 0.30% 2.891G

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
200003.18% 23.92T 2.65% 25.83G
200011.76% 13.21T 1.40% 13.62G
163841.14% 8.582T 0.91% 8.907G
200021.10% 8.241T 0.94% 9.111G
400000.55% 4.159T 0.43% 4.138G