Internet2 NetFlow: Weekly Reports: Week of 20090420

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

Introduction

You are looking at the weekly Abilene network usage report for the week of 20090420 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 34.92% of octets and 17.65% 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 1.395M 2 10.05M
5 1.481M 9 10.44M
10 1.581M 18 10.93M
50 3.026M 57 17.17M
90 13.01M 59 47.99M
95 23.33M 59 73.95M
99 71.52M 59 205.7M
99.9 455.9M 59 815.4M
99.99 992.0M 59 2.721G
99.999 1.786G 59 5.575G
100 20.40G 64 14.91G

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)3.39% 10.02G
Medium (100-1400B)10.74% 31.76G
Large (1401-1500B)85.73% 253.6G
Jumbo (>1500B)0.15% 429.8M
Total100.00% 295.8G

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 Transfers38.09% 158.4T 37.02% 109.5G 48.57% 6.893M
Encrypted Traffic7.03% 29.25T 7.70% 22.78G 5.36% 761.3k
Measurement6.35% 26.40T 6.85% 20.25G 0.59% 83.75k
Advanced Apps4.09% 17.01T 4.24% 12.54G 4.43% 628.2k
File Sharing1.99% 8.267T 1.92% 5.686G 1.71% 242.6k
Misc0.89% 3.687T 0.88% 2.598G 1.43% 202.3k
Games0.24% 979.5G 0.23% 686.2M 0.31% 43.49k
Audio/Video0.21% 881.2G 0.21% 625.1M 0.44% 62.98k
Unidentified41.12% 171.0T 40.95% 121.1G 37.16% 5.273M
Total100.00% 415.9T 100.00% 295.8G 100.00% 14.19M

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
3.977G900030VANDERBILT [7212]Abilene [11537]Iperf
989.8M150011U Chicago [160]Unknown [32361]Iperf
982.0M150011Unknown [32361]U Wisconsin [59]Iperf
977.9M149210SDSC [195]Abilene [11537]Iperf
976.4M150027Unknown [32361]U Chicago [160]Iperf
968.2M150016U Wisconsin [59]Unknown [32361]Iperf
965.5M149410Unknown [32361]Abilene [11537]Iperf
945.5M148710U Florida [6356]Abilene [11537]Iperf
900.0M150010ESnet-East [291]Unknown [32361]Iperf
752.2M149710Stephen F. Austin State U [3634]Abilene [11537]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
966.4M148210VANDERBILT [7212]Abilene [11537]34484 -> 3002
931.0M150010INDIANAGIGAPOP [19782]Abilene [11537]1337 -> 3002
750.2M149517Unknown [32361]U Chicago [160]54352 -> 22491
721.1M150010Georgia Institute of Technology [2637]Abilene [11537]34451 -> 3002
623.5M150012UNL [7896]Fermi National Accelerator Lab [3152]47435 -> 24530
588.4M150046Unknown [32440]INDIANAGIGAPOP [19782]1019 -> 988
572.3M150032Fermi National Accelerator Lab [3152]UNL [7896]37039 -> 55188
536.8M900010High Performance Computing Modernization Program [668]Abilene [11537]35729 -> 5101
494.7M900010NASA-HPCC-ESS [7847]Abilene [11537]52167 -> 5101
376.3M150013Abilene [11537]Merit [237]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: 1.153k.

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 Transfers47.54% 566.2T 46.74% 783.6G
Encrypted Traffic5.83% 69.46T 6.34% 106.3G
Measurement2.38% 28.31T 1.61% 26.97G
Advanced Apps2.10% 24.96T 1.65% 27.66G
Misc1.94% 23.10T 4.18% 70.12G
File Sharing1.69% 20.13T 1.59% 26.63G
Audio/Video0.98% 11.62T 0.77% 12.83G
Games0.40% 4.757T 0.71% 11.89G
Unidentified37.15% 442.4T 36.41% 610.4G
Total100.00% 1.191P 100.00% 1.676T

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
---
45.08%
1.65%
0.42%
0.39%
---
536.9T
19.60T
5.057T
4.660T
---
44.83%
1.07%
0.38%
0.46%
---
751.6G
17.98G
6.352G
7.751G
Encrypted Traffic
HTTPS
SSH
IPsec ESP
IPsec AH
IPsec IKE
---
2.82%
2.42%
0.57%
0.01%
0.00%
---
33.64T
28.88T
6.799T
107.4G
26.03G
---
3.29%
2.48%
0.55%
0.02%
0.01%
---
55.13G
41.63G
9.233G
254.5M
84.06M
Measurement
Iperf
ICMP
IPMP
---
2.35%
0.03%
0.00%
---
27.94T
377.6G
0.000
---
1.42%
0.19%
0.00%
---
23.85G
3.119G
0.000
Advanced Apps
UNIDATA LDM
IBP
McIDAS
BBCP
GsiFTP
BBFTP
---
1.74%
0.25%
0.06%
0.04%
0.00%
0.00%
---
20.74T
2.937T
717.0G
505.6G
41.68G
15.08G
---
1.40%
0.17%
0.04%
0.03%
0.01%
0.01%
---
23.54G
2.829G
617.9M
442.8M
90.37M
140.6M
Misc
Mail
DNS
Squid
X11
Port 0
AFS
MS Windows
NFS
IRC
SOCKS
NTP
Telnet
RTIP
AOL AIM
IDENT
SNMP
RPC Portmapper
---
1.32%
0.20%
0.15%
0.07%
0.07%
0.05%
0.02%
0.02%
0.01%
0.01%
0.01%
0.01%
0.01%
0.00%
0.00%
0.00%
0.00%
---
15.74T
2.393T
1.826T
806.4G
787.1G
598.1G
231.8G
217.7G
125.7G
107.1G
72.98G
62.02G
61.51G
26.88G
21.75G
18.72G
690.9M
---
1.85%
1.49%
0.18%
0.08%
0.09%
0.07%
0.23%
0.01%
0.03%
0.01%
0.06%
0.04%
0.03%
0.00%
0.00%
0.01%
0.00%
---
30.96G
25.01G
3.038G
1.283G
1.459G
1.181G
3.881G
242.7M
555.3M
180.2M
957.4M
587.5M
511.8M
44.02M
59.28M
153.0M
6.478M
File Sharing
Audiogalaxy
BitTorrent
Shoutcast
Hotline
eDonkey2000
Gnutella
FastTrack
WinMX
Freenet
Carracho
Blubster
Neo-Modus
Direct Connect++
---
0.74%
0.35%
0.32%
0.17%
0.07%
0.02%
0.01%
0.00%
0.00%
0.00%
0.00%
0.00%
0.00%
---
8.863T
4.186T
3.849T
1.984T
860.2G
201.6G
133.4G
28.74G
12.74G
10.21G
6.622G
1.147G
377.8M
---
0.59%
0.37%
0.40%
0.13%
0.06%
0.03%
0.01%
0.00%
0.00%
0.00%
0.00%
0.00%
0.00%
---
9.872G
6.250G
6.651G
2.121G
968.6M
436.2M
172.3M
45.05M
15.78M
19.13M
82.65M
1.711M
334.3k
Audio/Video
Any-Source Multicast
Real Player
Windows Media
Backbone Radio
H.323 Signaling
StreamWorks
Camarades webcams
Subset of VoIP
Single-Source Multicast
---
0.50%
0.44%
0.02%
0.01%
0.01%
0.00%
0.00%
0.00%
0.00%
---
5.955T
5.202T
243.2G
92.77G
86.00G
16.87G
15.08G
7.979G
152.5M
---
0.32%
0.41%
0.02%
0.01%
0.01%
0.00%
0.00%
0.00%
0.00%
---
5.376G
6.859G
296.4M
108.2M
121.1M
30.86M
25.99M
17.25M
112.5k
Games
DirectX
Battlenet
Half-Life
Spy Arcade
Quake
Asheron
Starsiege Tribes
---
0.22%
0.06%
0.05%
0.04%
0.02%
0.01%
0.00%
---
2.620T
656.1G
644.7G
461.6G
242.9G
83.19G
47.90G
---
0.24%
0.11%
0.27%
0.03%
0.04%
0.01%
0.01%
---
4.066G
1.926G
4.548G
478.4M
636.1M
133.8M
110.9M
Unidentified
Unidentified
---
37.15%
---
442.4T
---
36.41%
---
610.4G
Total
Total
---
100.00%
---
1.191P
---
100.00%
---
1.676T

The following table summarizes use of most popular IPv4 protocols:

Table 8. IP Protocols Distribution (Full Data set)

Protocols OctetsPackets
ICMP[1]0.03% 377.6G 0.19% 3.119G
IGMP[2]0.00% 54.93M 0.00% 1.260M
IP-ENCAP[4]0.01% 83.88G 0.01% 103.2M
TCP[6]90.28% 1.075P 85.88% 1.439T
UDP[17]7.42% 88.38T 12.16% 203.8G
IPv6[41]0.10% 1.165T 0.09% 1.485G
GRE[47]1.58% 18.84T 1.11% 18.65G
ESP[50]0.57% 6.799T 0.55% 9.233G
AX.25[93]0.00% 0.000 0.00% 0.000
PIM[103]0.00% 4.354G 0.00% 50.78M
IPMP[169]0.00% 0.000 0.00% 0.000
Other0.01% 112.2G 0.02% 258.3M
Total100.00% 1.191P 100.00% 1.676T

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)42.26% 708.5G
Medium (100-1400B)22.10% 370.5G
Large (1401-1500B)35.36% 592.8G
Jumbo (>1500B)0.28% 4.753G
Total100.00% 1.676T

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]97.18% 1.157P 97.23% 1.630T
Scavenger [DSCP=8]0.14% 1.633T 0.15% 2.484G
EF [DSCP=46]0.01% 61.89G 0.02% 263.8M
Other2.68% 31.93T 2.61% 43.73G
Total100.00% 1.191P 100.00% 1.676T

We collect statistics about ECN-capable traffic:

Table 11. ECN-Capable Traffic

Type OctetsPackets
ECN-Capable0.81% 9.698T 0.40% 6.668G

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
19352.31% 27.49T 2.91% 48.86G
164020.90% 10.70T 0.79% 13.32G
330010.51% 6.031T 0.24% 4.049G
514130.45% 5.343T 0.32% 5.417G
30740.43% 5.158T 1.51% 25.30G