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Transcript
Wise*
TrafView
Flow-based Measurement and Analysis System
Pipefilters BOF, TIP2004
Jan. 27, 2004
Hyungseok Chung
ETRI
Topics
Backgrounds
Content-aware Application Recognition
Wise*TrafView Functionality
GUI Snapshots & Demonstration
2
Common Measurement & Analysis Tools
RTT, Packet loss
Tool : ping, echoping, fping, gnuplotping, sting, …
System : Ping-ER, AMP, IWR - use ping internally
One-way delay, Packet delay
Designated measurement BOX
Surveyor, RIPE-NCC project, Smartbits
Route discovery
traceroute, skitter, mtr, ping plot, visualroute, neotrace,…
Misc : remote traceroute execution server
Throughput
netperf, iperf, treno, tcpblast, tcpspray, ttcp, pchar
Packet Capture & Analysis
tcpdump, Coralreef, cflowd, snoop, ethereal, …
Per Interface Traffic Volume and Errors
MRTG
3
Why they are not enough?
Capturing Packets in Current Networks
High-speed networks (Mbps  Gbps  Tbps)
High-volume traffic
Streaming media (Windows Media, Real Media, Quicktime)
P2P traffic
Network Games
Network Security Attacks
Typical Flow-based Measurement
Non-flow based measurement is not enough for the above requirements
Typical Flow-based Measurement
Typically a flow is defined as a set of packets passing an observation point in the
network during a certain time interval and having a set of common properties
5-tuple packet header fields are used for this
New applications such as P2P, streaming and network games have characteristics of
dynamic port allocation
More Detailed Analysis is needed
Typical Flow-based Measurement is not enough
Need more detailed analysis depending on applications
It may require content filtering
4
How does Wise*
TrafView
AS 100
Router
work?
AS 200
Splitter
Switch
Network
Operators
Traffic
Capture
Agent
raw streams of
packets
analysis
result
flow
records
Analysis
Server
5
Application Recognition
Limitations of port-based recognition
The port database maintained by IANA doesn’t
reflect real-world situation well
Most newer applications simply do not register their
ports
Sometimes they even take advantage of well-known ports
to pass thorough firewalls
Most bandwidth hogs, nowadays, dynamically
allocate ports
They are not linked up with any fixed ports!
6
Real-world Situation
PosTech Traffic Breakdown
Port/Application
80/HTTP
Port-based
Accounting
Contents-aware
Accounting
59.1 GB
67 GB
(11.8% reduced)
21/FTP_CTRL
0.29 GB
0.28 GB
20/FTP_DATA
43 GB
42 GB
6 GB
n/a
(14.3% of FTP_DATA,
2% of the total volume)
?/FTP_DATA_PASSIVE
HTTP: 13.2 MB
5003/?
692 MB
BUGS_MUSIC: 420.8 MB
EDONKEY: 172.3 MB
etc.: 85.7 MB
- PosTech Campus Network
(24h sum in May, 304GB total volume)
7
Enhanced Application Recognition
Wise*TrafView utilizes some enhanced
proprietary recognition mechanisms in a
comprehensive way
Internet Application Classification
signature matching
flow correlation
dynamic port recognition and utilization
some heuristics
Not only capable of discriminating
applications, but also their sub-flows
e.g., HTTP  HTTP_REQ, HTTP_REP, HTTP_REQACK, etc.
8
Internet Application Classification
Type S: Simple Application Type
for an application which uses a well-known port number or which
uses a registered port number but are popularly used
Type P: Payload Application Type
for an application which uses a registered or ephemeral port number
but requires payload inspections for precise classification
Type R: Reverse Application Type
for an application which uses a registered or ephemeral port number
but requires comparison with a correlated reverse flow for the precise
classification
Type C: Co-related Application Type
for an application which uses a dynamic port number assignment
Type U: Unknown Application Type
for applications which do not use registered port numbers and do not
belong to any of the four types mentioned above
9
Application Recognition
Configuration Language (ARCL)
application WWW {
port_rep_name HTTP port 80 protocol TCP{
decision_group HTTP_REQ_REP_ACK {
src_port >= 1024
dst_port == 80
}
decision_group HTTP_REP_REQ_ACK {
src_port == 80
dst_port >= 1024
}}
port_rep_name HTTP_ALT port 8080 protocol TCP{
src_disc_pattern=="HTTP" in pkt 0-2 at byte 0 - 4
( dst_disc_pattern=="GET" in pkt 0-3 at byte 0 - 10 ||
dst_disc_pattern=="POST" in pkt 0-3 at byte 0 - 10 )
decision_group HTTP_ALT_REQ_REP_ACK {
src_port >= 1024
dst_port == 8080
}
decision_group HTTP_ALT_REP_REQ_ACK {
src_port == 8080
dst_port >= 1024
}}
}
application EDONKEY {
port_rep_name EDONKEY_DOWN port 4662 protocol TCP{
dst_disc_pattern=="0xe33d000000" in pkt 2-3 at byte 0 - 4
decision_group EDONKEY_DOWN_REQ_REP_ACK {
src_port >= 1024
dst_port == 4662 ~ 4666 || 4242 || 4224 || 4660 || 5555
}
decision_group EDONKEY_DOWN_REP_REQ_ACK {
src_port == 4662 ~ 4666 || 4242 || 4224 || 4660 || 5555
dst_port >= 1024
}}
application FTP {
port_rep_name FTP port 21 protocol TCP{
src_ref_pattern=="r/227 Entering Passive Mode
\(\d{1,3},\d{1,3},\d{1,3},\d{1,3},(\d{1,4}),(\d{1,4})\)/$src_port =
atoi($1)*1024 + atoi($2)" in pkt any at byte 0-35 induce
FTP_DOWN_P
decision_group FTP_REQ_REP_ACK {
src_port >= 1024
dst_port == 21
}
decision_group FTP_REP_REQ_ACK {
src_port == 21
dst_port >= 1024
}}
}
10
Application Recognition Example
% ftp server
% ls
% passive
% get wmggw.mp3
% quit
server.21 (FTP_CTRL_REQ)
client.1302
client.1302
server.21 (FTP_CTRL_REP)
49152
server.20 (FTP_DATA_DOWN)
client.1303
client.1303
server.20 (FTP_DATA_UP)
client.1306
server.49152 (FTP_DATA_PSV_UP)
server.49152 (FTP_DATA_PSV_DOWN)
client.1306
0
2
4
6
8
10
12
Time (sec)
11
System Architecture Overview
GUI
Database
ARCL
Config-File
Recognition and analysis
Results (ODBC)
Analysis Server
Flow and packet
Records (NFS)
Capture Agent
NIC
...
IPCAP Card
Capture Agent
...
NIC
...
IPCAP Card
12
Capturing Internet Traffic
Passive traffic capture
No side-effect imposed on any network devices and links
An optical or electric splitter, a.k.a. tap, is utilized
Wise*TrafView’s approach
Splitters + Packet Capture Card + High Performance
Capture Engine
Adaptability maintained by supporting software-based
capture as well
PCAP (Packet Capture) library
Doesn’t necessarily require a dedicated capture card; common
Unix boxes can substitute the cards
But yet, software-based capture is not equivalent to the cardbased capture in terms of performance and functionality
13
Specialized Packet Capture Devices
Link Signal Splitters
Electrical
Ethernet tap, DS-3 tap, etc.
Optical
ordinary optical splitter
independent of physical and data-link layer protocols
High Performance Packet Capture Cards
Model A: for lower speed links
Ethernet, FastEthernet, DS-3/(E3)
Model B: for middle speed links
ATM at OC-3, POS at OC-3, OC-12 (622Mbps), and
GigaEthernet
14
Flow Concept
A “flow” is
a sequence of packets whose <src and dst IP addresses, src and dst port
numbers, and protocol> are all identical
Why flow?
The size of entire raw packet streams for a given unit time are
prohibitively enormous to be analyzed in time
Each individual packets in a flow contain duplicate information
Packets in the same flow are correlated; we can identify more
packets which were previously categorized as unknown application
a flow
a packet
a distinctive signature
of application “X”
Now, these pkts can also
be identified as “X”
15
Agent Side:
Generating Flow Records
Agents
carry on simple filtering and signature matching
functions
generate flow records
This procedure aggregates and organizes the traffic
information and reduces the amount of traffic volume
transferred to the server
16
Agent Structure
17
Server Side:
AS and Country Mapping
Identifying flow sources and destinations
Both source and destination IP address of a flow are mapped
to ASes and finally to countries
This helps to locate the source and the sink of a flow
Discrimination among transit, inbound, and outbound traffic
flows
18
Analysis Server Structure
Post Processor
General Statistics Logging
General Grouping
Flow Classification 2
(for RR and DP Candidates)
File System
DP-Type
Candidate
File
RR-Type
Candidate
File
Database
Per-application
Per-application
Per-application
Analysis
results
Analysisresults
results
Analysis
DP_ref_table
RR_ref_table
Continuous Flow
Table
Continuous Flow Table Update
Reference Table Update
Pre Processor
Flow Classification 1
(for FP and PI Candidates)
Flow and Packet Records Bundles
19
Configurability and Adaptability
Why adaptability so important?
The highly frequenting nature of Internet applications’
appearance and disappearance
Swift mutation of applications
Localization of the use patterns of applications
Wise*TrafView copes with the problem by introducing
ARCL
By taking advantage of ARCL, Wise*TrafView
doesn’t need to be re-built or re-installed by any module for
extension
can be easily reconfigured to handle a new application;
modifying the configuration in ARCL and re-enforcing suffices
20
The Major Functionality of Wise*TrafView
Transparent Packet Capture
complete independence of the existing networking equipment
Flow-based Measurement and Analysis
reduced load
higher degree of recognition
Understanding Application Specific Contexts
by means of enhanced application recognition algorithms
Scalable
can scale up from tens of Mbps to Gbps
supports various physical and data-link layer technologies
Highly Extensible and Adaptable
easy configuration with ARCL
21
User Interface
Web-based Interface
simple
easy to use
intuitive
portable
A web site for each measurement site can
be easily established
Authentication and authorization supported
22
Visualization:
Traffic Breakdown Report
23
Visualization:
Traffic Matrices
24
Platforms
Hardware
For lower speed links (<= 622Mbps)
capture agent

high performance PC: 2 * P-III 1GHz+ CPU, 2GB+ RAM, 30GB+ HDD
analysis server

high performance PC: 2 * P-IV 1GHz+ CPU, 1GB+ RAM, 100GB+ HDD
For Higher speed links ( > 1 Gbps)
Dedicated Standalone Capture System
Hardwised logics for supporting wire-speed processing
Software
capture agent
Linux
analysis server
Linux, MySQL
25
A Possible Deployment Scenario
GPS Satellite
Traffic Generator
ISP 1
CDMA Basestation
Traffic Center
Traffic Generator
ISP 2
Server
ISP 3
Server
Traffic Generator
Server
IX Router
Traffic Center
Analysis Server Measurement Agent
26
Thank you !
Q&A
Contact:
Hyungseok Chung,
Taesang Choi,
Taesoo Jeong
{chunghs, choits, tsjeong}@etri.re.kr