Embed
Email

Internet Traffic Modeling

Document Sample

Shared by: alice jenny
Categories
Tags
Stats
views:
3
posted:
11/17/2011
language:
English
pages:
9
December 2009 doc.: IEEE 802.11-09/1317r1





Internet Traffic Modeling

Date: 2009-12-09

Authors:

Name Affiliations Address Phone Email

Sai Nandagopalan Broadcom San Diego 858 521 2192 nsai@broadcom.com

Vinko Erceg Broadcom San Diego 858 521-5885 verceg@broadcom.com









Submission Slide 1 Vinko Erceg, Broadcom

December 2009 doc.: IEEE 802.11-09/1317r1



Background

• In Nov 2009 TGad meeting in Atlanta, people wanted a simple model to

characterize internet traffic for TGad evaluation methodology document

• The people wanted to see if they could have similar requirements on this

traffic modeling as was done in TGn few years back

• So we have considered this new model for FTP and HTTP traffic









Submission Slide 2 Vinko Erceg, Broadcom

December 2009 doc.: IEEE 802.11-09/1317r1



Why Model Internet Traffic?

• Why model traffic?

– The traffic model is the key for determining the performance of the

system. The more accurate is the traffic model the better is the system

quantified in terms of its performance.

– Traffic model in the evaluation methodology document should focus

on capturing the accents of the application which posts special demand

on the system performance.

• What is being modeled here?

– We are modeling TCP and Web browsing

• This document proposes to changes that were presented in

IEEE 802.11-09/1216r1.

– Why?

– Almost all of us use standard simulators such as OPNET, NS2,

OMNET etc.

– These simulators are rich enough to have most types of TCP inbuilt

with all the TCP parameters.

– Additionally, we want to include reference to IEEE 802.11n

evaluation methodology document

Submission Slide 3 Vinko Erceg, Broadcom

December 2009 doc.: IEEE 802.11-09/1317r1



Modeling TCP Traffic

• Almost all the file transfers between individual devices

that are connected via IEEE 802.11 and its extensions

happens through TCP.

– This is the recommended protocol for all traffic that passes through the

IP stack

• We consider a simple file transfer.

– The file size is fixed at 10 GByte. In this profile the AP is connected to

the backbone. Since the packet size is limited by Ethernet, we set it as

1500 bytes









Submission Slide 4 Vinko Erceg, Broadcom

December 2009 doc.: IEEE 802.11-09/1317r1

TCP Procotol Configuration

TCP Configuration Parameters in Simulators

MSS Ethernet (1500 bytes)



Receive Buffer (Bytes) 65535

The table on the right outlines the Receive Buffer Adjustment None



TCP configuration in all simulators. Delayed ACK Mechanism Segment/Clock based



All these parameters are available. Max. ACK Delay (Sec) 0.05



These were the same parameters that Slow Start Initial Count (MSS) 1



Fast Retransmit Enabled

were used in IEEE 802.11n

evaluation methodology document. Duplicate ACK Threshold 3



Fast Recovery Reno



Window Scaling Enabled



Selective ACK (SACK) Disabled



ECN Capability Disabled



Segment Send Threshold Byte Boundary



Active Connection Threshold Unlimited



Karn’s Algorithm Enabled



Nagle Algorithm Disabled



Initial Sequence Number Auto Complete



Initial RTO (sec) 3.0





Min RTO (sec) 1.0



Max RTO (sec) 64



RTT Gain 0.125



Deviation Gain 0.25



RTT Deviation Coefficient 4.0



Timer Granularity 0.25





Submission Slide 5 Vinko Erceg, Broadcom

December 2009 doc.: IEEE 802.11-09/1317r1



Modeling HTTP Traffic (1)

• HTTP traffic characterization is quite complex and is a

function of

– Structure of WWW pages and

– Nature of human interaction

• Based on the above properties, it is bursty and is modeled

by ON/OFF sources





First Packet of Session Reading Time Reading Time Last Packet of Session

Parsing time



– ON periods represent the webpages being transferred from the server

to client and the OFF periods refers to the reading time of the user

– Also a webpage consists of multiple subpages and each main page

reference generates the request of those subpages





Submission Slide 6 Vinko Erceg, Broadcom

December 2009 doc.: IEEE 802.11-09/1317r1



Modeling HTTP Traffic (2)

• The parameters of HTTP file Component Distribution Parameters PDF

transfer are: Mean = 10710 bytes 1   ln x    2 

fx  exp  ,x  0

– SM: Size of main object in page 2 x 2

Main

Truncated

SD = 25032 bytes  2 

object

Lognormal

Min = 100 bytes   1.37,   8.37

size (SM) Max = 2 Mbytes

– Nd: Number of embedded objects (before truncation)

if x>max or xmax or xmax, discard and regenerate a

distributions new value for x

 x

– Approximate mean data rate of Reading time

(Dpc)

Exponential Mean = 30 sec f x  e ,x  0

 = 0.033

(10KB+48KB)/31 = 12.31 kbps

 x

Parsing time

Exponential Mean = 0.13 sec f x  e ,x  0

(Tp)

  7.69









Submission Slide 7 Vinko Erceg, Broadcom

December 2009 doc.: IEEE 802.11-09/1317r1



Conclusions

• We have outlined the models of TCP traffic and HTTP

traffic to be used for evaluation methodology document

for TGad

– The TCP traffic is the same as what was done in the evaluation

methodology document in IEEE 802.11n

– The HTTP traffic is represented by few distributions that have been

taken from extensive studies of references [1-6].









Submission Slide 8 Vinko Erceg, Broadcom

December 2009 doc.: IEEE 802.11-09/1317r1





References

• [1] P. Barford and M Crovella, "Generating Representative Web Workloads for Network and

Server Performance Evaluation" In Proc. ACM SIGMETRICS International Conference on

Measurement and Modeling of Computer Systems, pp. 151-160, July 1998.

• [2] S. Deng. “Empirical Model of WWW Document Arrivals at Access Link.” In Proceedings of

the 1996 IEEE International Conference on Communication, June 1996.

• [3] R. Fielding, J. Gettys, J. C. Mogul, H. Frystik, L. Masinter, P. Leach, and T. Berbers-Lee,

"Hypertext Transfer Protocol - HTTP/1.1", RFC 2616, HTTP Working Group,

ftp://ftp.Ietf.org/rfc2616.txt, June 1999.

• [4] B. Krishnamurthy and M. Arlitt, "PRO-COW: Protocol Compliance on the Web", Technical

Report 990803-05-TM, AT&T Labs, http://www.research.att.com/~bala/papers/procow-1.ps.gz,

August 1999.

• [5] B. Krishnamurthy and C. E. Wills, "Analyzing Factors That Influence End-to-End Web

Performance", Computer Networks: The International Journal of Computer and

Telecommunications Networking, Volume 33 , Issue 1-6, pp. 17-32, June 2000.

• [6] H. K. Choi, J. O. Limb, "A Behavioral Model of Web Traffic", Proceedings of the seventh

International Conference on Network Protocols, 1999, pp. 327-334, November 1999.









Submission Slide 9 Vinko Erceg, Broadcom



Related docs
Other docs by alice jenny
LAW dd kansas auto accident lawyer
Views: 6  |  Downloads: 0
Ariel heaving
Views: 1  |  Downloads: 0
Form Order for Prisoner Attendance
Views: 0  |  Downloads: 0
NASC SG Accidents
Views: 0  |  Downloads: 0
Presentation Air Quality and Conformity
Views: 0  |  Downloads: 0
By registering with docstoc.com you agree to our
privacy policy

You are almost ready to download!

You are almost ready to download!