report by: loizos konomou el933 fall 2005 prof: yong liu ruoming pang, mark allman, mike bennett,...

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Report by: Loizos Konomou EL933 Fall 2005 Prof: Yong Liu Ruoming Pang, Mark Allman, Mike Bennett, Jason Lee, Vern Paxson, Brian Tierney Princeton University, International Computer Science Institute, Lawrence Berkeley National Laboratory (LBNL) IMC2005 http://www.usenix.org/events/imc05/tech/ A First Look at Modern Enterprise Traffic

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Page 1: Report by: Loizos Konomou EL933 Fall 2005 Prof: Yong Liu Ruoming Pang, Mark Allman, Mike Bennett, Jason Lee, Vern Paxson, Brian Tierney Princeton University,

Report by: Loizos KonomouEL933

Fall 2005Prof: Yong Liu

Ruoming Pang, Mark Allman, Mike Bennett, Jason Lee, Vern Paxson, Brian TierneyPrinceton University, International Computer Science Institute,

Lawrence Berkeley National Laboratory (LBNL)

IMC2005 http://www.usenix.org/events/imc05/tech/

A First Look at Modern

Enterprise Traffic

Page 2: Report by: Loizos Konomou EL933 Fall 2005 Prof: Yong Liu Ruoming Pang, Mark Allman, Mike Bennett, Jason Lee, Vern Paxson, Brian Tierney Princeton University,

Enterprise Network Traffic

Internet traffic has been studied a lot

Not many studies regarding internal enterprise traffic

Study of internal network traffic of an enterprise and compare it with the wide area traffic

Page 3: Report by: Loizos Konomou EL933 Fall 2005 Prof: Yong Liu Ruoming Pang, Mark Allman, Mike Bennett, Jason Lee, Vern Paxson, Brian Tierney Princeton University,

Enterprise Network Traffic Measurements taken at 2 Central

Routers (One at a time) Pentium 4 2.2Ghz running

FreeBSD 4.10 4 NIC cards, capture

unidirectional traffic Measurement equipment able to

capture 2 interfaces at a time 2 subnets at a time

Page 4: Report by: Loizos Konomou EL933 Fall 2005 Prof: Yong Liu Ruoming Pang, Mark Allman, Mike Bennett, Jason Lee, Vern Paxson, Brian Tierney Princeton University,

Enterprise Network Traffic

Trace consists

Over 100 Hours of packet traces

8000 Internal Hosts

47000 External Hosts

Page 5: Report by: Loizos Konomou EL933 Fall 2005 Prof: Yong Liu Ruoming Pang, Mark Allman, Mike Bennett, Jason Lee, Vern Paxson, Brian Tierney Princeton University,

Goals: Understand the makeup of internal

network traffic (from the network layer to the application layer)

Gain sense of the patterns of locality Characterize application traffic in

terms of how intranet traffic differs from Internet traffic characteristics

Characterize applications heavily used inside the enterprise but rarely outside

Gain Understanding of the load being imposed on modern enterprise networks

Page 6: Report by: Loizos Konomou EL933 Fall 2005 Prof: Yong Liu Ruoming Pang, Mark Allman, Mike Bennett, Jason Lee, Vern Paxson, Brian Tierney Princeton University,

Overview of Traces

Page 7: Report by: Loizos Konomou EL933 Fall 2005 Prof: Yong Liu Ruoming Pang, Mark Allman, Mike Bennett, Jason Lee, Vern Paxson, Brian Tierney Princeton University,

Network Protocols detected in traces

IP is the dominant Layer 3 Protocol

Page 8: Report by: Loizos Konomou EL933 Fall 2005 Prof: Yong Liu Ruoming Pang, Mark Allman, Mike Bennett, Jason Lee, Vern Paxson, Brian Tierney Princeton University,

Transport Layer Protocols

TCP is dominant in Packets UDP is dominant in connections.

Page 9: Report by: Loizos Konomou EL933 Fall 2005 Prof: Yong Liu Ruoming Pang, Mark Allman, Mike Bennett, Jason Lee, Vern Paxson, Brian Tierney Princeton University,

Application Breakdown

Page 10: Report by: Loizos Konomou EL933 Fall 2005 Prof: Yong Liu Ruoming Pang, Mark Allman, Mike Bennett, Jason Lee, Vern Paxson, Brian Tierney Princeton University,

Unicast Payload and Connections

WE

B

WE

B

emai

l

emai

l

Net

-file

Net

-file

Bac

kup

Bac

kup

Bul

k

Bul

k

nam

e

nam

e

Inte

ract

ive

Inte

ract

ive

Win

dow

s

Win

dow

s

Stre

amin

g

Stre

amin

g

Net

-mgm

t

Net

-mgm

t

Mis

c

Mis

c

Oth

er-t

cp

Oth

er-t

cp

Oth

er-u

dp

Oth

er-u

dp

Most traffic is internal. Most of the external traffic is web Most internal traffic in bytes is net-file and

backup, but the number of connections for these categories are very small

Name resolution traffic small, but large number of connections

Page 11: Report by: Loizos Konomou EL933 Fall 2005 Prof: Yong Liu Ruoming Pang, Mark Allman, Mike Bennett, Jason Lee, Vern Paxson, Brian Tierney Princeton University,

Origins and Destinations

71-79% of traffic is within the network

2-3% originates from inside with destination outside

6-11% originates from hosts outside with destination inside

5-10% is multicast sourced within the network,

4-7% is multicast sourced externally

Page 12: Report by: Loizos Konomou EL933 Fall 2005 Prof: Yong Liu Ruoming Pang, Mark Allman, Mike Bennett, Jason Lee, Vern Paxson, Brian Tierney Princeton University,

Applications Web traffic has more external

traffic than internal Email also both internal and

external SMTP and Secure IMAP dominate the

email protocols used POP3, LDAP

Name Services DNS, Netbios, Service Locator, RPC Handful of servers account for most

of the DNS traffic.

Page 13: Report by: Loizos Konomou EL933 Fall 2005 Prof: Yong Liu Ruoming Pang, Mark Allman, Mike Bennett, Jason Lee, Vern Paxson, Brian Tierney Princeton University,

Application Enterprise Specific Traffic

Windows Services SMB/CIFS NFS NCP DCE/RPC

CIFS Breakdown

Page 14: Report by: Loizos Konomou EL933 Fall 2005 Prof: Yong Liu Ruoming Pang, Mark Allman, Mike Bennett, Jason Lee, Vern Paxson, Brian Tierney Princeton University,

Windows Services

DCE/RPC Functions

NFS Functions

Page 15: Report by: Loizos Konomou EL933 Fall 2005 Prof: Yong Liu Ruoming Pang, Mark Allman, Mike Bennett, Jason Lee, Vern Paxson, Brian Tierney Princeton University,

Backup Services

Veritas Dantz

Large volume of traffic between small number of hosts.

Page 16: Report by: Loizos Konomou EL933 Fall 2005 Prof: Yong Liu Ruoming Pang, Mark Allman, Mike Bennett, Jason Lee, Vern Paxson, Brian Tierney Princeton University,

Summary This study provides a broad view

of the enterprise traffic Limitations:

Data is specific to one Site Each Site is unique

General Idea about internal traffic

Sets the foundations for more deep studies of internal network traffic

Page 17: Report by: Loizos Konomou EL933 Fall 2005 Prof: Yong Liu Ruoming Pang, Mark Allman, Mike Bennett, Jason Lee, Vern Paxson, Brian Tierney Princeton University,