Internet2 NetFlow: Weekly Reports: Week of 20070910

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

Introduction

You are looking at the weekly Abilene network usage report for the week of 20070910 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 27.59% of octets and 13.58% 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 1.390M 3 10.05M
5 1.484M 11 10.50M
10 1.605M 19 10.95M
50 3.184M 58 18.00M
90 11.92M 59 50.55M
95 17.49M 59 73.65M
99 44.76M 59 139.5M
99.9 128.5M 59 426.0M
99.99 998.6M 118 3.547G
99.999 1.072G 156 3.777G
100 6.740G 162 3.945G

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)0.35% 485.6M
Medium (100-1400B)7.06% 9.716G
Large (1401-1500B)92.16% 126.8G
Jumbo (>1500B)0.43% 593.1M
Total100.00% 137.6G

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 Transfers27.36% 55.80T 27.96% 38.49G 32.89% 2.399M
Encrypted Traffic8.40% 17.14T 8.57% 11.80G 7.22% 526.8k
Measurement3.96% 8.084T 2.13% 2.929G 0.25% 18.01k
Advanced Apps3.72% 7.589T 3.79% 5.214G 5.08% 370.6k
File Sharing3.27% 6.670T 3.36% 4.621G 2.63% 192.2k
Misc0.61% 1.244T 0.65% 892.0M 0.89% 65.15k
Audio/Video0.37% 765.0G 0.38% 527.7M 0.80% 58.27k
Games0.33% 666.9G 0.34% 467.4M 0.42% 30.57k
Unidentified51.98% 106.0T 52.82% 72.72G 49.81% 3.634M
Total100.00% 204.0T 100.00% 137.6G 100.00% 7.295M

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
1.296G900019Abilene [11537]Abilene [11537]Iperf
629.2M900011Abilene [11537]High Performance Computing Modernization Program [668]Iperf
556.9M134021SWITCH [559]PSC [1207]Iperf
532.9M150048PUNET Technology Ltd.,Taiwan [9270]PUNET Technology Ltd.,Taiwan [10052]Iperf
432.9M142028Unknown [40127]JHU [5723]Iperf
360.1M142027JHU [5723]Unknown [40127]Iperf
323.3M150021UNIVHAWAII [6360]DFN-IP service G-WiN [680]Iperf
267.2M900019Unknown [32361]SWITCH [559]Iperf
238.6M150029NASA Internet [297]SLAC [3671]Iperf
237.9M150025BWI-GIGA-POP [10886]SDSC [195]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
935.4M900010High Performance Computing Modernization Program [668]Abilene [11537]34487 -> 5101
819.2M900011Science, Technology, and Research Transit Access Point [10764]APAN-JP [7660]33163 -> 50050
431.4M150010SWITCH [559]PSC [1207]52178 -> 22222
362.4M150012NCSA [1224]U Virginia, Charlottesville [225]42505 -> 33372
336.7M900010Abilene [11537]High Performance Computing Modernization Program [668]42561 -> 5101
250.8M150027Oregon State U [4201]UCLA [52]1398 -> 49000
231.3M150016NASA GSFC [1701]Pennsylvania State U [3999]Hotline
226.6M150017NOAA [6629]Pennsylvania State U [3999]HTTP
209.5M150010UCLA [52]Oregon State U [4201]49000 -> 1617
204.8M150035OSU [159]ISI [4]53399 -> 32812

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: 593.0.

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 Transfers30.59% 226.1T 34.48% 349.4G
Encrypted Traffic5.70% 42.17T 7.06% 71.57G
File Sharing2.36% 17.45T 2.43% 24.58G
Audio/Video2.18% 16.14T 1.93% 19.59G
Misc1.96% 14.47T 3.99% 40.48G
Advanced Apps1.94% 14.33T 1.57% 15.93G
Measurement1.68% 12.41T 1.57% 15.89G
Games0.45% 3.333T 0.78% 7.861G
Unidentified53.13% 392.8T 46.19% 468.1G
Total100.00% 739.3T 100.00% 1.013T

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
FTP
Rsync
NNTP
---
27.64%
1.17%
0.93%
0.85%
---
204.3T
8.620T
6.888T
6.260T
---
31.88%
0.93%
0.76%
0.90%
---
323.1G
9.461G
7.729G
9.147G
Encrypted Traffic
HTTPS
SSH
IPsec ESP
IPsec AH
IPsec IKE
---
2.77%
2.66%
0.26%
0.01%
0.00%
---
20.50T
19.64T
1.954T
64.59G
4.539G
---
4.36%
2.40%
0.29%
0.01%
0.00%
---
44.20G
24.29G
2.907G
135.1M
22.29M
File Sharing
Audiogalaxy
BitTorrent
Hotline
Shoutcast
eDonkey2000
Gnutella
FastTrack
WinMX
Blubster
Carracho
Neo-Modus
Freenet
Direct Connect++
---
0.77%
0.62%
0.41%
0.32%
0.12%
0.10%
0.01%
0.01%
0.00%
0.00%
0.00%
0.00%
0.00%
---
5.681T
4.563T
3.050T
2.352T
916.8G
733.0G
64.69G
57.68G
16.12G
13.65G
4.988G
2.433G
161.5M
---
0.69%
0.78%
0.31%
0.33%
0.11%
0.17%
0.01%
0.01%
0.02%
0.00%
0.00%
0.00%
0.00%
---
6.947G
7.953G
3.112G
3.299G
1.094G
1.760G
111.2M
82.08M
191.5M
19.86M
4.750M
3.263M
137.6k
Audio/Video
Any-Source Multicast
Real Player
Windows Media
H.323 Signaling
Backbone Radio
StreamWorks
Subset of VoIP
Camarades webcams
Single-Source Multicast
---
1.32%
0.67%
0.17%
0.02%
0.01%
0.00%
0.00%
0.00%
0.00%
---
9.734T
4.967T
1.227T
117.8G
79.02G
16.72G
2.705G
1.850G
0.000
---
0.96%
0.76%
0.18%
0.02%
0.01%
0.00%
0.00%
0.00%
0.00%
---
9.775G
7.741G
1.789G
155.6M
92.96M
26.49M
6.191M
5.923M
0.000
Misc
Mail
Port 0
DNS
Squid
X11
AFS
IRC
NFS
NTP
Telnet
MS Windows
RTIP
AOL AIM
SOCKS
IDENT
SNMP
RPC Portmapper
---
0.97%
0.36%
0.21%
0.19%
0.11%
0.05%
0.02%
0.01%
0.01%
0.01%
0.01%
0.01%
0.00%
0.00%
0.00%
0.00%
0.00%
---
7.182T
2.651T
1.575T
1.395T
811.2G
379.3G
112.5G
80.38G
55.05G
53.20G
50.92G
46.18G
28.36G
20.83G
19.49G
8.584G
351.2M
---
1.73%
0.25%
1.29%
0.24%
0.12%
0.08%
0.04%
0.02%
0.07%
0.05%
0.05%
0.04%
0.00%
0.01%
0.01%
0.01%
0.00%
---
17.54G
2.503G
13.05G
2.414G
1.223G
799.5M
436.0M
168.1M
714.4M
506.5M
485.8M
407.0M
37.50M
53.25M
70.86M
58.89M
4.286M
Advanced Apps
UNIDATA LDM
McIDAS
BBCP
IBP
GsiFTP
BBFTP
---
1.81%
0.07%
0.03%
0.02%
0.01%
0.00%
---
13.35T
526.3G
222.0G
155.8G
58.97G
17.73G
---
1.46%
0.05%
0.02%
0.02%
0.01%
0.01%
---
14.79G
539.2M
194.1M
164.5M
142.6M
94.80M
Measurement
Iperf
ICMP
IPMP
---
1.59%
0.09%
0.00%
---
11.71T
700.5G
88.78M
---
0.55%
1.02%
0.00%
---
5.572G
10.32G
245.0k
Games
DirectX
Battlenet
Spy Arcade
Half-Life
Quake
Asheron
Starsiege Tribes
---
0.28%
0.06%
0.05%
0.04%
0.01%
0.01%
0.00%
---
2.060T
443.5G
347.0G
319.8G
88.78G
39.98G
34.22G
---
0.33%
0.11%
0.04%
0.26%
0.02%
0.01%
0.01%
---
3.339G
1.082G
422.9M
2.597G
251.5M
101.6M
66.29M
Unidentified
Unidentified
---
53.13%
---
392.8T
---
46.19%
---
468.1G
Total
Total
---
100.00%
---
739.3T
---
100.00%
---
1.013T

The following table summarizes use of most popular IPv4 protocols:

Table 8. IP Protocols Distribution (Full Data set)

Protocols OctetsPackets
ICMP[1]0.09% 700.5G 1.02% 10.32G
IGMP[2]0.00% 61.67M 0.00% 1.285M
IP-ENCAP[4]0.08% 625.0G 0.06% 586.0M
TCP[6]75.95% 561.5T 78.49% 795.5G
UDP[17]6.63% 48.98T 10.15% 102.9G
IPv6[41]0.01% 40.44G 0.02% 154.7M
GRE[47]16.95% 125.2T 9.89% 100.2G
ESP[50]0.26% 1.954T 0.29% 2.907G
AX.25[93]0.00% 90.14M 0.00% 194.6k
PIM[103]0.01% 79.80G 0.02% 169.3M
IPMP[169]0.00% 88.78M 0.00% 245.0k
Other0.02% 122.1G 0.06% 632.0M
Total100.00% 739.3T 100.00% 1.013T

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)41.48% 420.4G
Medium (100-1400B)25.52% 258.7G
Large (1401-1500B)32.66% 331.0G
Jumbo (>1500B)0.33% 3.305G
Total100.00% 1.013T

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]95.97% 709.5T 95.62% 969.1G
Scavenger [DSCP=8]0.56% 4.163T 0.70% 7.129G
EF [DSCP=46]0.17% 1.255T 0.11% 1.115G
Other3.29% 24.35T 3.56% 36.12G
Total100.00% 739.3T 100.00% 1.013T

We collect statistics about ECN-capable traffic:

Table 11. ECN-Capable Traffic

Type OctetsPackets
ECN-Capable0.53% 3.903T 0.35% 3.579G

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
200002.41% 17.82T 2.25% 22.80G
200011.31% 9.707T 1.13% 11.44G
163841.21% 8.939T 0.91% 9.257G
400001.11% 8.188T 0.79% 8.046G
200020.78% 5.744T 0.71% 7.186G