Internet2 NetFlow: Weekly Reports: Week of 20090427

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

Introduction

You are looking at the weekly Abilene network usage report for the week of 20090427 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 35.02% of octets and 17.60% 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 1.396M 3 10.05M
5 1.484M 11 10.48M
10 1.588M 21 10.95M
50 3.076M 58 17.55M
90 12.63M 59 51.90M
95 20.45M 59 87.45M
99 57.31M 59 192.0M
99.9 478.7M 59 869.8M
99.99 1.007G 59 2.839G
99.999 1.463G 60 5.705G
100 31.20G 62 7.032G

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)3.37% 9.818G
Medium (100-1400B)9.73% 28.33G
Large (1401-1500B)86.69% 252.4G
Jumbo (>1500B)0.20% 597.0M
Total100.00% 291.2G

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 Transfers36.70% 150.8T 35.91% 104.5G 48.37% 6.489M
Encrypted Traffic9.00% 36.98T 10.19% 29.67G 7.11% 953.3k
Measurement6.18% 25.39T 6.17% 17.98G 0.45% 60.04k
Advanced Apps3.75% 15.41T 3.69% 10.75G 4.75% 636.5k
File Sharing1.76% 7.256T 1.73% 5.034G 1.56% 209.0k
Misc0.76% 3.118T 0.75% 2.190G 1.30% 173.9k
Games0.26% 1.079T 0.26% 752.6M 0.33% 44.82k
Audio/Video0.22% 903.0G 0.22% 635.2M 0.48% 64.27k
Unidentified41.38% 170.1T 41.08% 119.6G 35.66% 4.784M
Total100.00% 411.1T 100.00% 291.2G 100.00% 13.41M

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
1.059G892310VANDERBILT [7212]Abilene [11537]Iperf
996.0M150010U Chicago [160]Unknown [32361]Iperf
987.7M150012Unknown [32361]U Chicago [160]Iperf
984.3M149010SDSC [195]Abilene [11537]Iperf
978.9M150011U Wisconsin [59]Unknown [32361]Iperf
963.3M150040Unknown [32361]U Wisconsin [59]Iperf
962.2M149210U Florida [6356]Abilene [11537]Iperf
958.9M150015Unknown [25776]ESnet-East [291]Iperf
907.0M150016ESnet-East [291]Unknown [32361]Iperf
769.5M150016Fermi National Accelerator Lab [3152]VANDERBILT [7212]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
952.3M150015Unknown [25776]ESnet-East [291]5042 -> 5042
700.3M150016Fermi National Accelerator Lab [3152]UNL [7896]46451 -> 35632
661.3M150015Unknown [25776]ESnet-West [292]BBCP
557.3M150015UNL [7896]Fermi National Accelerator Lab [3152]54116 -> 20786
548.4M900010High Performance Computing Modernization Program [668]Abilene [11537]58304 -> 5101
540.4M150011Unknown [32440]INDIANAGIGAPOP [19782]1021 -> 988
400.7M150029CERN1 [1297]BT Customer services network [2614]59979 -> 1093
376.0M150014Abilene [11537]Merit [237]Rsync
358.7M150011Network for Education and Research in Oregon [3701]Unknown [0]Rsync
355.5M147654CERN1 [1297]FUNET [1741]47150 -> 1095

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: 1.111k.

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 Transfers48.79% 572.8T 48.08% 795.5G
Encrypted Traffic6.66% 78.21T 7.01% 115.9G
Measurement2.35% 27.58T 1.49% 24.67G
Advanced Apps1.97% 23.11T 1.58% 26.09G
Misc1.86% 21.87T 3.66% 60.60G
File Sharing1.53% 17.96T 1.50% 24.74G
Audio/Video0.83% 9.789T 0.68% 11.25G
Games0.38% 4.434T 0.71% 11.72G
Unidentified35.62% 418.1T 35.29% 583.9G
Total100.00% 1.173P 100.00% 1.654T

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
NNTP
FTP
---
46.12%
1.91%
0.39%
0.38%
---
541.4T
22.37T
4.569T
4.456T
---
45.99%
1.25%
0.48%
0.37%
---
760.8G
20.66G
7.892G
6.152G
Encrypted Traffic
SSH
HTTPS
IPsec ESP
IPsec AH
IPsec IKE
---
3.11%
3.01%
0.53%
0.01%
0.00%
---
36.51T
35.38T
6.206T
82.66G
29.41G
---
3.00%
3.46%
0.53%
0.01%
0.01%
---
49.55G
57.26G
8.812G
192.8M
90.47M
Measurement
Iperf
ICMP
IPMP
---
2.32%
0.03%
0.00%
---
27.21T
378.1G
0.000
---
1.32%
0.17%
0.00%
---
21.79G
2.883G
0.000
Advanced Apps
UNIDATA LDM
McIDAS
BBCP
GsiFTP
BBFTP
IBP
---
1.90%
0.04%
0.02%
0.00%
0.00%
0.00%
---
22.29T
489.0G
266.8G
40.92G
24.50G
910.0M
---
1.52%
0.03%
0.02%
0.00%
0.01%
0.00%
---
25.11G
454.7M
304.1M
80.83M
127.1M
8.589M
Misc
Mail
DNS
Squid
Port 0
X11
AFS
MS Windows
IRC
NTP
RTIP
NFS
Telnet
AOL AIM
SOCKS
SNMP
IDENT
RPC Portmapper
---
1.30%
0.18%
0.15%
0.07%
0.06%
0.05%
0.02%
0.01%
0.01%
0.01%
0.00%
0.00%
0.00%
0.00%
0.00%
0.00%
0.00%
---
15.26T
2.063T
1.740T
826.8G
738.1G
596.0G
225.5G
97.55G
71.29G
60.47G
53.96G
44.04G
31.47G
28.81G
18.15G
7.010G
822.1M
---
1.84%
1.03%
0.18%
0.09%
0.08%
0.07%
0.22%
0.03%
0.06%
0.03%
0.01%
0.02%
0.00%
0.00%
0.01%
0.00%
0.00%
---
30.47G
16.97G
2.987G
1.492G
1.274G
1.128G
3.583G
445.4M
936.1M
492.9M
98.92M
407.6M
50.25M
59.44M
149.2M
49.10M
3.838M
File Sharing
Audiogalaxy
BitTorrent
Shoutcast
Hotline
eDonkey2000
Gnutella
FastTrack
WinMX
Freenet
Carracho
Blubster
Neo-Modus
Direct Connect++
---
0.69%
0.32%
0.32%
0.10%
0.06%
0.02%
0.01%
0.00%
0.00%
0.00%
0.00%
0.00%
0.00%
---
8.146T
3.754T
3.727T
1.224T
741.5G
193.7G
118.7G
24.16G
11.67G
9.803G
6.628G
610.1M
79.18M
---
0.56%
0.35%
0.40%
0.09%
0.05%
0.03%
0.01%
0.00%
0.00%
0.00%
0.01%
0.00%
0.00%
---
9.202G
5.839G
6.562G
1.533G
853.5M
439.7M
161.2M
38.24M
13.41M
17.04M
83.30M
1.179M
146.9k
Audio/Video
Real Player
Any-Source Multicast
Windows Media
H.323 Signaling
Backbone Radio
StreamWorks
Camarades webcams
Subset of VoIP
Single-Source Multicast
---
0.41%
0.38%
0.02%
0.01%
0.01%
0.00%
0.00%
0.00%
0.00%
---
4.848T
4.486T
250.7G
93.08G
67.95G
15.76G
14.57G
11.94G
926.4M
---
0.39%
0.25%
0.02%
0.01%
0.01%
0.00%
0.00%
0.00%
0.00%
---
6.438G
4.218G
290.5M
120.9M
102.6M
27.89M
24.08M
30.74M
683.2k
Games
DirectX
Half-Life
Battlenet
Spy Arcade
Quake
Asheron
Starsiege Tribes
---
0.19%
0.06%
0.05%
0.05%
0.02%
0.01%
0.00%
---
2.186T
707.1G
638.8G
558.4G
214.8G
85.75G
43.12G
---
0.22%
0.29%
0.11%
0.04%
0.04%
0.01%
0.01%
---
3.655G
4.767G
1.858G
586.5M
615.2M
131.9M
110.9M
Unidentified
Unidentified
---
35.62%
---
418.1T
---
35.29%
---
583.9G
Total
Total
---
100.00%
---
1.173P
---
100.00%
---
1.654T

The following table summarizes use of most popular IPv4 protocols:

Table 8. IP Protocols Distribution (Full Data set)

Protocols OctetsPackets
ICMP[1]0.03% 378.1G 0.17% 2.883G
IGMP[2]0.00% 41.68M 0.00% 1.218M
IP-ENCAP[4]0.00% 28.36G 0.00% 64.59M
TCP[6]90.83% 1.066P 86.56% 1.432T
UDP[17]6.88% 80.75T 11.46% 189.6G
IPv6[41]0.11% 1.334T 0.10% 1.668G
GRE[47]1.61% 18.88T 1.15% 19.05G
ESP[50]0.53% 6.206T 0.53% 8.812G
AX.25[93]0.00% 13.20k 0.00% 200.0
PIM[103]0.00% 4.239G 0.00% 50.59M
IPMP[169]0.00% 0.000 0.00% 0.000
Other0.01% 82.71G 0.01% 193.3M
Total100.00% 1.173P 100.00% 1.654T

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)42.57% 704.4G
Medium (100-1400B)21.82% 361.0G
Large (1401-1500B)35.38% 585.3G
Jumbo (>1500B)0.23% 3.810G
Total100.00% 1.654T

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]97.46% 1.144P 97.32% 1.610T
Scavenger [DSCP=8]0.13% 1.556T 0.15% 2.472G
EF [DSCP=46]0.00% 56.03G 0.01% 241.6M
Other2.40% 28.16T 2.51% 41.58G
Total100.00% 1.173P 100.00% 1.654T

We collect statistics about ECN-capable traffic:

Table 11. ECN-Capable Traffic

Type OctetsPackets
ECN-Capable0.93% 10.91T 0.45% 7.410G

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
19351.77% 20.74T 2.58% 42.64G
164020.82% 9.632T 0.73% 12.04G
30740.44% 5.199T 1.46% 24.21G
514130.43% 5.056T 0.31% 5.104G
45000.41% 4.868T 0.39% 6.496G