Internet2 NetFlow: Weekly Reports: Week of 20080915

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

Introduction

You are looking at the weekly Abilene network usage report for the week of 20080915 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 34.97% of octets and 16.77% 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 1.393M 1 10.05M
5 1.486M 9 10.50M
10 1.599M 17 10.95M
50 3.058M 58 17.40M
90 13.60M 59 48.60M
95 23.70M 59 73.20M
99 78.78M 59 167.5M
99.9 161.8M 59 413.4M
99.99 569.6M 104 1.025G
99.999 1.175G 119 1.536G
100 14.82G 138 39.93G

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)0.75% 1.586G
Medium (100-1400B)10.17% 21.65G
Large (1401-1500B)88.98% 189.4G
Jumbo (>1500B)0.11% 223.8M
Total100.00% 212.9G

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 Transfers30.82% 95.11T 31.07% 66.15G 35.44% 4.017M
Encrypted Traffic9.90% 30.54T 10.20% 21.70G 6.83% 773.6k
Advanced Apps4.28% 13.21T 4.30% 9.160G 5.13% 581.9k
File Sharing2.84% 8.775T 2.84% 6.037G 2.18% 247.1k
Measurement2.61% 8.045T 2.49% 5.300G 2.06% 233.6k
Misc0.66% 2.048T 0.69% 1.479G 0.87% 98.76k
Games0.61% 1.880T 0.61% 1.305G 0.64% 72.80k
Audio/Video0.15% 460.0G 0.15% 324.2M 0.28% 32.08k
Unidentified48.13% 148.5T 47.65% 101.4G 46.56% 5.278M
Total100.00% 308.6T 100.00% 212.9G 100.00% 11.33M

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
5.994G900017DFN-IP service G-WiN [680]Abilene [11537]Iperf
4.203G900020INDIANAGIGAPOP [19782]DFN-IP service G-WiN [680]Iperf
3.092G900018DFN-IP service G-WiN [680]INDIANAGIGAPOP [19782]Iperf
2.292G900017INDIANAGIGAPOP [19782]Abilene [11537]Iperf
839.8M150033Georgia Institute of Technology [2637]Abilene [11537]Iperf
423.2M150029TRANSPAC [22388]Indiana [87]Iperf
347.9M150031Indiana [87]TRANSPAC [22388]Iperf
234.8M142010INDIANAGIGAPOP [19782]TRANSPAC [22388]Iperf
182.9M138811NASA-HPCC-ESS [7847]APAN-JP [7660]Iperf
167.4M150030NASA 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
1.071G900010NASA-HPCC-ESS [7847]Abilene [11537]36743 -> 5101
614.0M900010High Performance Computing Modernization Program [668]Abilene [11537]54030 -> 5101
393.3M149912NASA-AERONET [10343]INDIANAGIGAPOP [19782]SSH
364.9M150018JPL [127]Oregon State U [4201]Hotline
324.1M150016Unknown [25776]LATECH [19564]63007 -> 50002
300.0M150013BT Customer services network [2611]Network for Education and Research in Oregon [3701]Rsync
272.8M150016INDIANAGIGAPOP [19782]Unknown [32361]64843 -> 55681
262.6M150017NIH [3527]COMMERCEONE [13371]56310 -> 42227
259.2M150017Iowa State U [2698]UT-Austin [18]Rsync
256.9M150060Unknown [36375]Boston U [111]54321 -> 43400

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: 918.0.

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 Transfers43.06% 380.0T 43.87% 557.0G
Encrypted Traffic7.05% 62.23T 6.50% 82.51G
Advanced Apps2.49% 21.93T 1.93% 24.46G
File Sharing2.45% 21.58T 2.35% 29.84G
Misc2.35% 20.77T 4.41% 55.95G
Measurement1.21% 10.64T 0.93% 11.81G
Audio/Video1.07% 9.476T 1.08% 13.66G
Games0.51% 4.522T 0.71% 8.985G
Unidentified39.81% 351.3T 38.23% 485.3G
Total100.00% 882.5T 100.00% 1.269T

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
NNTP
Rsync
FTP
---
39.93%
1.11%
1.08%
0.93%
---
352.4T
9.822T
9.570T
8.244T
---
41.39%
0.93%
0.80%
0.75%
---
525.5G
11.77G
10.20G
9.517G
Encrypted Traffic
SSH
HTTPS
IPsec ESP
IPsec AH
IPsec IKE
---
3.78%
2.09%
1.17%
0.01%
0.00%
---
33.34T
18.45T
10.32T
101.4G
6.382G
---
2.86%
2.69%
0.94%
0.01%
0.00%
---
36.25G
34.09G
11.96G
177.0M
33.34M
Advanced Apps
UNIDATA LDM
McIDAS
BBCP
IBP
GsiFTP
BBFTP
---
2.21%
0.19%
0.04%
0.04%
0.01%
0.00%
---
19.48T
1.646T
383.0G
331.7G
76.85G
14.62G
---
1.73%
0.12%
0.02%
0.03%
0.02%
0.01%
---
21.99G
1.494G
316.6M
330.2M
195.8M
135.2M
File Sharing
Audiogalaxy
Shoutcast
Hotline
BitTorrent
eDonkey2000
Gnutella
FastTrack
WinMX
Blubster
Carracho
Freenet
Neo-Modus
Direct Connect++
---
0.81%
0.70%
0.44%
0.37%
0.09%
0.03%
0.01%
0.00%
0.00%
0.00%
0.00%
0.00%
0.00%
---
7.149T
6.162T
3.869T
3.245T
768.3G
240.8G
80.42G
39.77G
10.15G
6.928G
6.052G
313.5M
18.60M
---
0.63%
0.85%
0.28%
0.44%
0.07%
0.05%
0.01%
0.00%
0.01%
0.00%
0.00%
0.00%
0.00%
---
8.045G
10.73G
3.538G
5.633G
940.8M
632.1M
125.9M
46.65M
129.0M
13.34M
6.570M
1.306M
146.7k
Misc
Mail
Port 0
DNS
Squid
NFS
AFS
X11
IRC
RTIP
NTP
Telnet
MS Windows
SOCKS
AOL AIM
IDENT
SNMP
RPC Portmapper
---
1.18%
0.49%
0.24%
0.24%
0.05%
0.05%
0.05%
0.01%
0.01%
0.01%
0.01%
0.01%
0.00%
0.00%
0.00%
0.00%
0.00%
---
10.44T
4.303T
2.131T
2.095T
484.5G
440.7G
433.7G
88.60G
78.70G
68.50G
55.74G
50.34G
38.36G
36.77G
13.19G
11.60G
7.365G
---
2.03%
0.30%
1.35%
0.27%
0.04%
0.10%
0.07%
0.03%
0.06%
0.07%
0.04%
0.03%
0.01%
0.00%
0.00%
0.01%
0.00%
---
25.76G
3.799G
17.10G
3.410G
466.7M
1.262G
942.8M
392.2M
741.4M
896.0M
504.3M
352.3M
101.8M
57.12M
60.97M
87.81M
9.366M
Measurement
Iperf
ICMP
IPMP
---
1.15%
0.06%
0.00%
---
10.11T
527.1G
0.000
---
0.65%
0.28%
0.00%
---
8.209G
3.607G
0.000
Audio/Video
Any-Source Multicast
Real Player
Windows Media
H.323 Signaling
Backbone Radio
StreamWorks
Camarades webcams
Subset of VoIP
Single-Source Multicast
---
0.66%
0.38%
0.02%
0.01%
0.01%
0.00%
0.00%
0.00%
0.00%
---
5.785T
3.337T
165.1G
76.51G
75.93G
22.08G
7.394G
7.100G
42.03M
---
0.37%
0.66%
0.02%
0.01%
0.01%
0.00%
0.00%
0.00%
0.00%
---
4.759G
8.397G
246.6M
104.9M
94.53M
31.71M
14.35M
20.10M
31.00k
Games
DirectX
Spy Arcade
Half-Life
Battlenet
Quake
Asheron
Starsiege Tribes
---
0.24%
0.16%
0.04%
0.04%
0.02%
0.01%
0.00%
---
2.144T
1.424T
372.9G
344.0G
155.5G
55.63G
25.81G
---
0.26%
0.11%
0.22%
0.08%
0.03%
0.01%
0.00%
---
3.305G
1.404G
2.774G
1.010G
339.5M
96.88M
53.93M
Unidentified
Unidentified
---
39.81%
---
351.3T
---
38.23%
---
485.3G
Total
Total
---
100.00%
---
882.5T
---
100.00%
---
1.269T

The following table summarizes use of most popular IPv4 protocols:

Table 8. IP Protocols Distribution (Full Data set)

Protocols OctetsPackets
ICMP[1]0.06% 527.1G 0.28% 3.607G
IGMP[2]0.00% 39.02M 0.00% 935.9k
IP-ENCAP[4]0.02% 169.1G 0.01% 174.0M
TCP[6]88.37% 779.9T 83.52% 1.060T
UDP[17]9.30% 82.09T 14.36% 182.3G
IPv6[41]0.01% 120.3G 0.02% 226.0M
GRE[47]1.05% 9.258T 0.84% 10.68G
ESP[50]1.17% 10.32T 0.94% 11.96G
AX.25[93]0.00% 0.000 0.00% 0.000
PIM[103]0.00% 4.742G 0.00% 44.01M
IPMP[169]0.00% 0.000 0.00% 0.000
Other0.01% 101.6G 0.01% 177.9M
Total100.00% 882.5T 100.00% 1.269T

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)43.49% 552.1G
Medium (100-1400B)21.95% 278.7G
Large (1401-1500B)34.41% 436.8G
Jumbo (>1500B)0.15% 1.884G
Total100.00% 1.269T

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]95.71% 844.7T 95.94% 1.218T
Scavenger [DSCP=8]0.26% 2.328T 0.29% 3.712G
EF [DSCP=46]0.00% 36.23G 0.01% 137.5M
Other4.02% 35.46T 3.76% 47.71G
Total100.00% 882.5T 100.00% 1.269T

We collect statistics about ECN-capable traffic:

Table 11. ECN-Capable Traffic

Type OctetsPackets
ECN-Capable0.40% 3.523T 0.21% 2.644G

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
164022.13% 18.82T 1.84% 23.34G
600111.21% 10.69T 0.91% 11.53G
19350.94% 8.331T 1.49% 18.87G
21280.63% 5.571T 0.55% 7.019G
30740.48% 4.219T 1.27% 16.18G