Internet2 NetFlow: Weekly Reports: Week of 20090202

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

Introduction

You are looking at the weekly Abilene network usage report for the week of 20090202 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 34.16% of octets and 16.80% 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 1 10.05M
5 1.488M 8 10.46M
10 1.598M 16 10.95M
50 3.220M 57 17.40M
90 13.11M 59 49.21M
95 24.16M 59 69.90M
99 73.55M 59 161.1M
99.9 202.7M 59 404.5M
99.99 472.7M 65 1.073G
99.999 1.139G 119 3.715G
100 69.60G 121 20.69G

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)1.04% 2.748G
Medium (100-1400B)10.98% 29.00G
Large (1401-1500B)87.92% 232.1G
Jumbo (>1500B)0.06% 156.6M
Total100.00% 264.0G

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 Transfers36.73% 139.4T 36.68% 96.85G 42.39% 5.927M
Encrypted Traffic9.82% 37.29T 10.06% 26.57G 7.31% 1.021M
File Sharing2.41% 9.144T 2.41% 6.371G 1.95% 272.2k
Advanced Apps2.32% 8.799T 2.30% 6.063G 2.83% 396.2k
Measurement1.15% 4.357T 1.19% 3.153G 0.22% 30.88k
Misc0.72% 2.714T 1.08% 2.859G 1.09% 152.1k
Games0.30% 1.132T 0.30% 793.4M 0.34% 48.05k
Audio/Video0.21% 815.1G 0.22% 578.9M 0.41% 57.78k
Unidentified46.34% 175.9T 45.75% 120.8G 43.46% 6.077M
Total100.00% 379.6T 100.00% 264.0G 100.00% 13.98M

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
5.372G900029DFN-IP service G-WiN [680]INDIANAGIGAPOP [19782]Iperf
3.041G900013INDIANAGIGAPOP [19782]DFN-IP service G-WiN [680]Iperf
1.004G150018APAN-JP [7660]Abilene [11537]Iperf
664.2M150019Brookhaven National Lab [43]Unknown [32361]Iperf
530.9M150011ENTIRETY [22638]Brookhaven National Lab [43]Iperf
503.3M150028Brookhaven National Lab [43]ENTIRETY [22638]Iperf
302.2M150011Unknown [32361]SWITCH [559]Iperf
222.1M149325Brookhaven National Lab [43]S Methodist U [1832]Iperf
212.0M150017NASA-ESDIS-NET [22767]APAN-JP [7660]Iperf
211.1M150017NASA-ESDIS-NET [22767]Israeli Academic and Research Network [378]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
863.0M150060INDIANAGIGAPOP [19782]Unknown [32440]988 -> 1022
729.4M150060Unknown [32440]INDIANAGIGAPOP [19782]1021 -> 988
625.7M900010High Performance Computing Modernization Program [668]Abilene [11537]55673 -> 5101
518.0M898360DFN-IP service G-WiN [680]INDIANAGIGAPOP [19782]1021 -> 988
483.5M150023Nat Lib Med [70]Yale [29]50037 -> 59576
378.5M150010Unknown [25776]LATECH [19564]63030 -> 50002
378.0M150050CERN1 [1297]BT Customer services network [2614]33528 -> 1093
366.5M142815CERN1 [1297]UNINETT, Norway [224]53169 -> 1093
341.4M150024U Chicago [160]INDIANAGIGAPOP [19782]39998 -> 22313
335.1M150012UC Santa Cruz [5739]U Iowa [3676]51560 -> 37232

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: 1.112k.

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 Transfers47.92% 532.5T 46.96% 738.0G
Encrypted Traffic6.66% 73.98T 6.75% 106.0G
Misc1.94% 21.54T 3.71% 58.37G
File Sharing1.78% 19.79T 1.65% 25.88G
Advanced Apps1.40% 15.53T 1.12% 17.67G
Audio/Video1.13% 12.58T 0.85% 13.35G
Measurement0.56% 6.256T 0.56% 8.790G
Games0.38% 4.269T 0.66% 10.34G
Unidentified38.23% 424.8T 37.73% 592.9G
Total100.00% 1.111P 100.00% 1.571T

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
---
44.79%
1.17%
1.17%
0.79%
---
497.7T
13.05T
12.96T
8.734T
---
44.58%
0.81%
0.87%
0.71%
---
700.5G
12.67G
13.61G
11.15G
Encrypted Traffic
SSH
HTTPS
IPsec ESP
IPsec AH
IPsec IKE
---
3.13%
2.90%
0.62%
0.01%
0.00%
---
34.73T
32.26T
6.885T
92.22G
10.74G
---
2.71%
3.43%
0.60%
0.01%
0.00%
---
42.52G
53.84G
9.382G
213.4M
45.70M
Misc
Mail
DNS
Port 0
Squid
AFS
X11
MS Windows
IRC
NFS
NTP
Telnet
RTIP
AOL AIM
SOCKS
IDENT
SNMP
RPC Portmapper
---
1.32%
0.18%
0.15%
0.12%
0.06%
0.04%
0.02%
0.01%
0.01%
0.01%
0.01%
0.01%
0.00%
0.00%
0.00%
0.00%
0.00%
---
14.71T
1.984T
1.652T
1.342T
676.1G
455.5G
218.7G
119.9G
64.69G
64.02G
63.55G
62.82G
47.28G
42.12G
16.94G
16.24G
960.5M
---
1.91%
0.96%
0.15%
0.16%
0.07%
0.06%
0.23%
0.03%
0.01%
0.05%
0.03%
0.03%
0.00%
0.01%
0.00%
0.01%
0.00%
---
29.98G
15.09G
2.292G
2.444G
1.086G
999.6M
3.585G
499.2M
114.9M
837.5M
533.6M
533.9M
63.76M
109.1M
52.09M
133.8M
9.413M
File Sharing
Audiogalaxy
BitTorrent
Hotline
Shoutcast
eDonkey2000
Gnutella
FastTrack
WinMX
Carracho
Blubster
Freenet
Neo-Modus
Direct Connect++
---
0.81%
0.35%
0.28%
0.23%
0.07%
0.02%
0.01%
0.00%
0.00%
0.00%
0.00%
0.00%
0.00%
---
9.040T
3.849T
3.116T
2.580T
805.0G
256.3G
103.3G
22.65G
10.48G
8.626G
2.813G
1.738G
127.1M
---
0.62%
0.40%
0.19%
0.33%
0.06%
0.04%
0.01%
0.00%
0.00%
0.01%
0.00%
0.00%
0.00%
---
9.701G
6.306G
2.917G
5.113G
958.9M
574.5M
148.0M
29.23M
18.21M
105.7M
4.210M
2.314M
169.6k
Advanced Apps
UNIDATA LDM
McIDAS
BBCP
BBFTP
GsiFTP
IBP
---
1.28%
0.11%
0.01%
0.00%
0.00%
0.00%
---
14.18T
1.176T
66.58G
52.72G
47.80G
3.852G
---
1.04%
0.06%
0.01%
0.01%
0.01%
0.00%
---
16.27G
1.016G
98.57M
120.4M
113.2M
46.10M
Audio/Video
Any-Source Multicast
Real Player
Windows Media
H.323 Signaling
Backbone Radio
StreamWorks
Camarades webcams
Subset of VoIP
Single-Source Multicast
---
0.64%
0.45%
0.02%
0.01%
0.01%
0.00%
0.00%
0.00%
0.00%
---
7.148T
5.003T
228.9G
94.23G
56.61G
23.37G
17.43G
8.116G
99.66M
---
0.39%
0.42%
0.02%
0.01%
0.00%
0.00%
0.00%
0.00%
0.00%
---
6.119G
6.649G
308.1M
124.2M
77.87M
39.27M
23.76M
16.59M
73.50k
Measurement
Iperf
ICMP
IPMP
---
0.53%
0.03%
0.00%
---
5.888T
368.5G
1.200M
---
0.37%
0.18%
0.00%
---
5.891G
2.898G
800.0
Games
DirectX
Half-Life
Spy Arcade
Battlenet
Quake
Asheron
Starsiege Tribes
---
0.21%
0.06%
0.05%
0.04%
0.02%
0.01%
0.00%
---
2.353T
655.2G
533.1G
420.6G
194.3G
62.60G
49.24G
---
0.24%
0.25%
0.04%
0.09%
0.03%
0.01%
0.01%
---
3.710G
3.973G
564.4M
1.423G
484.3M
99.78M
91.11M
Unidentified
Unidentified
---
38.23%
---
424.8T
---
37.73%
---
592.9G
Total
Total
---
100.00%
---
1.111P
---
100.00%
---
1.571T

The following table summarizes use of most popular IPv4 protocols:

Table 8. IP Protocols Distribution (Full Data set)

Protocols OctetsPackets
ICMP[1]0.03% 368.5G 0.18% 2.898G
IGMP[2]0.00% 43.22M 0.00% 1.230M
IP-ENCAP[4]0.01% 78.27G 0.00% 76.65M
TCP[6]91.00% 1.011P 85.64% 1.345T
UDP[17]7.39% 82.08T 12.84% 201.7G
IPv6[41]0.05% 594.3G 0.06% 877.4M
GRE[47]0.89% 9.889T 0.66% 10.36G
ESP[50]0.62% 6.885T 0.60% 9.382G
AX.25[93]0.00% 2.832M 0.00% 3.600k
PIM[103]0.00% 6.292G 0.00% 45.52M
IPMP[169]0.00% 1.200M 0.00% 800.0
Other0.01% 100.3G 0.02% 301.8M
Total100.00% 1.111P 100.00% 1.571T

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)42.33% 665.2G
Medium (100-1400B)22.14% 347.9G
Large (1401-1500B)35.41% 556.4G
Jumbo (>1500B)0.12% 1.822G
Total100.00% 1.571T

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]96.49% 1.072P 96.80% 1.521T
Scavenger [DSCP=8]0.15% 1.696T 0.18% 2.902G
EF [DSCP=46]0.00% 47.92G 0.01% 216.8M
Other3.35% 37.22T 3.00% 47.18G
Total100.00% 1.111P 100.00% 1.571T

We collect statistics about ECN-capable traffic:

Table 11. ECN-Capable Traffic

Type OctetsPackets
ECN-Capable0.14% 1.591T 0.07% 1.170G

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
19351.47% 16.30T 2.19% 34.48G
164021.26% 14.02T 1.11% 17.41G
30740.71% 7.884T 1.97% 30.98G
21280.54% 5.996T 0.47% 7.437G
600110.50% 5.529T 0.38% 6.048G