Ftp and database statistics in wireless network environment for web client 2

International Journal of Electronics and Communication Engineering & Technology (IJECET), ISSN
0976 – 6464(Print), ISSN 0976 – 6472(Online) Volume 4, Issue 2, March – April (2013), © IAEME
290
FTP AND DATABASE STATISTICS IN WIRELESS NETWORK
ENVIRONMENT FOR WEB CLIENT
Gurtej Singh
Department of Electronics and Communication
Lovely Professional Univeristy
Phagawara, Punjab, India
Manupriya
Department of Electronics and Communication
Satyam Institute of Engineering and Technology
Amritsar, Punjab, India
R.S. Sawhney
Sr.Lecturer, Department of Electronics Technology
Guru Nanak Dev University
Amritsar, Punjab, India
ABSTRACT
This paper presents the modeling and implementation of Wireless Local Area
Network (WLAN) based on OPNET simulator. Our model is then evaluated to measure the
performance of the wireless local area network for campus/university environment. We tested
our model against two types of applications (database and FTP) in two sites each comprising
of 20 users and found that among a set of other parameters response time and Task
processing time were highly affected by the number of users per application with and without
load balancing. OPNET simulation showed the impact of load balancing on wireless and
wire-line network for two different types of applications (database and ftp).
Keywords: WLAN, Load balancing, Media Access Delay, Ftp response time, Task
Processing time, throughput.
INTERNATIONAL JOURNAL OF ELECTRONICS AND
COMMUNICATION ENGINEERING & TECHNOLOGY (IJECET)
ISSN 0976 – 6464(Print)
ISSN 0976 – 6472(Online)
Volume 4, Issue 2, March – April, 2013, pp. 290-300
© IAEME: www.iaeme.com/ijecet.asp
Journal Impact Factor (2013): 5.8896 (Calculated by GISI)
www.jifactor.com
IJECET
© I A E M E

291
I. INTRODUCTION
Wireless access points are now common place on many university campuses [1-5].
Technologies such as IEEE 802.11b wireless LANs (WLANs) have revolutionalized the way
people think about networks, by offering users freedom from the constraints of physical
wires. Mobile users are interested in exploiting the full functionality of the technology at their
fingertips, as wireless networks bring closer the “anything, anytime, anywhere” promise of
mobile networking.
WLANs are becoming more widely recognized as a general purpose connectivity
alternative for a broad range of business customers.Many wireless network standards have
appeared but the most known standards belong to the IEEE 802.11 family, which includes the
popular 802.11b, the 802.11a and the 802.11g. Wireless local area networks (WLANs) are
spreading rapidly, their major advantage over wired ones being their easy installation. They
offer many benefits to users who can access resources without being forced to stay in one
place or indoors. The user base can be mobile, scalable, and create quickly-installed
temporary networks. A typical campus/university mobile user (our study environment) has
workstations equipped with a wireless card and the ability to access a local access point with
minimal configuration required. The access point is linked to the wired network through a
suitable IP gateway.
Several wireless 802.11 technologies are now available. IEEE 802.11b is the well
known technology. Its bit rate can be up to 11 Mbps in the 2.4 GHz band. IEEE 802.11g is an
extension of 802.11b; and works in the same 2.4GHz band, its data rate can be up to 54
Mbps. IEEE 802.11a operates in the 5 GHz band up to 54 Mbps. IEEE 802.11a has the
advantage of working in different band from cordless phones, microwave ovens, and
Bluetooth. IEEE 802.11b and IEEE 802.11a are not compatible. For this paper we have
focused on IEEE 802.11b [5].
Due to its limited bandwidth, wireless LAN performance is a hot research topic. The
literature available showed that the performance of IEEE 802.11b based on wireless networks
can be improved in different ways; such as tuning the physical layer related parameters, some
IEEE 802.11 parameters, or using an enhanced link layer (media access control) protocol.
Some researchers use the OPNET simulator to show that tuning the physical layer related
parameters such as Slot Time, Short Inter-Frame Space (SIFS) and Minimum Contention
Window can significantly improve the network performance. Also, by choosing appropriate
parameters such as Fragmentation Threshold, buffer size, fragmentation threshold and request
to send (RTS) thresholds WLAN performance can be improved.
Our paper uses simulation to study a campus/university area network scenario. We
use the OPNET [7] simulation environment, with its detailed models of IEEE 802.11b,
TCP/IP, FTP and DATABASE. OPNET is a tool used to simulate the way networks run. We
have chosen simulative tool- OPNET for our research because of the several benefits it offers
over the other contemporary tools available. OPNET provides the set of complete tools and a
complete user interface for topology design and development. Another advantage of using
OPNET is that it is being extensively used and there is wide confidence in the validity of the
results it produces. We parameterize the simulation model based on campus measurements,
and validate the model against LAN performance metrics using simple FTP and DATABASE
workload models. We then build a model of browsing behavior for a Web client and use this
model in a simulation study addressing the performance of the campus area network. Our
experiments focus on the FTP and DATABASE transaction rate and end-to-end throughput
achievable in the wireless network environment, and the impacts of factors such as

292
page/object response time, wireless LAN media access delay. The comparative investigation
on various performance metrics in wireless and wire-line LAN for a balanced and unbalanced
network has been presented.
After briefing the introduction in section I, Section II introduces our model, section III
covers the scenarios we tested, section IV analyses the results and the conclusion is drawn in
section V.
II. MODEL OUTLINE
The IEEE 802.11 WLAN architecture is built around a Basic Service Set (BSS). The
IEEE 802.11 standard defines a set of wireless LAN protocols that deliver services similar to
those found in wired Ethernet LAN environments. A BSS is a set of stations that
communicate with one another. When all the stations in the BSS can communicate directly
with each other (without a connection to a wired network), the BSS is known as an ad hoc
WLAN. When a BSS includes a wireless access point (AP) connected to a wired network, the
BSS is called an infrastructure network. In this mode, all mobile stations in the WLAN
communicate via the AP, providing access to stations on wired LANs and the world-wide
Internet. Figure 1 & 2 shows an outline to the model and is followed by the two wireless
LAN sites (Figure 3-4).
Figure 1 OPNET Model without load balancer
Figure 2 OPNET Model with load balancer

293
Figure 3 Site 1: Mix of Database and FTP clients
Figure 4 Site 2: Mix of Database and FTP clients
In our research we considered installing two access points in a campus/university
environment where mix of DATABASE and FTP clients were present. Simulations have
been carried out for our model to determine the optimal performance metrics.
Table I and II indicate the application description and the wireless traffic generation
parameters.
TABLE I. APPLICATION DESCRIPTION
Applications Attribute
Web Browsing FTP
Banking Database

294
TABLE II. WIRELESS LAN TRAFFIC GENERATION PARAMETERS
Attribute Value
Start Time Offset
(seconds)
uniform (5,10)
Repeatability Once at Start
Time
Operation Mode Serial (Random)
Start Time (seconds) uniform
(100,110)
Inter-repetition Time
(seconds)
constant (300)
Number of
Repetitions
constant (30)
Repetition Pattern Serial
Efficiency Parameters
Table III summarizes the efficiency parameters we simulated.
TABLE III. SIMULATED PARAMETERS
Application Parameter Unit
FTP
Traffic Sent
Traffic Received
Upload Response Time
Download Response Time
Task Processing Time
Bytes/sec
Bytes/sec
Seconds
Seconds
Seconds
Database
Traffic Sent
Traffic Received
Response Time
Task Processing Time
Bytes/sec
Bytes/sec
Seconds
Seconds
WLAN
Delay
Media Access Delay
Throughput
Seconds
Seconds
Bits/sec
III. SIMULATED SCENARIOS
A simulation model was developed using OPNET [7]. OPNET 802.11b PHY module
was used as a standard with maximum data rate up to 11Mb/s. IEEE 802.11b frequency
hopping was used in which slot time was 50µs. In this section, we consider the case of two
scenarios.

295
Scenario 1: 2 WLAN Sites each with 20 Users through 1 access points using DATABASE
(10 users), and FTP (10 users) connected with outside wire-line network without load balance
(table I).
Scenario 2: 2 WLAN Sites each with 20 Users through 1 access points using DATABASE
(10 users), and FTP (10 users) connected with outside wire-line network with load balance
(table I).
IV. RESULTS ANALYSIS
Twelve graphs were selected after simulating our model (Figures 5 through 16). All
graphs show a combination of the 2 scenarios. From figure 5 & 6 it has been observed that
the Database traffic sent (bytes/sec) & received (bytes/sec) with load balancing is more in
comparison with unbalanced network. From figure 7 we have also observed that the average
Database Query response time with the load balancer is 0.0137 seconds and while without the
load balancer it is 0.0075 seconds, which indicate the performance improvement in case of
Database Query response time.
Figure 5 Database Traffic sent (bytes/sec)
Figure 6 Database Traffic received (bytes/sec)

296
Figure 7 Database Query Response time (sec)
Figure 8 FTP traffic sent (bytes/sec)
Figure 9 FTP traffic received (bytes/sec)

297
The observations in figure 8 and 9 indicate that FTP traffic send and received is more
in case of using load balancer and there is significant difference in comparison of without
load balancing. The difference of 188 bytes/sec has been observed at 20 minutes. The figure
10 and 11 depicts the upload and download response time with and without load balancing.
The observed results indicate that there is marginal increase in the FTP upload and download
response time which is of the order of 0.1281 and 0.178 seconds.
Figure 10 FTP upload response time (sec)
Figure 11 FTP download response time (sec)
Figure 12 WLAN delay (sec)

298
Figure 13 Wireless LAN media access delay (sec)
From figure 12 it has been noticed that the difference of wireless LAN delay of the of
the order of 0.00016 seconds in both scenario and in case of media access delay difference in
both cases in 0.000005 seconds as shown in figure 13. In figure 14, it has been observed that
task processing time in case of Database server with load balance is 0.00051 seconds and
without load balance it is 0.000019 seconds.
In figure 15, it has been observed that task processing time in case of FTP server with
load balance is 0.0050 seconds and without load balance it is 0.0010 seconds.
Thus it reveals that Database & FTP task processing time in terms of seconds is more
in case of load balancing as compared to that of without load balancing.
Figure 14 Database Task Processing Time (sec)

299
Figure 15 FTP Task Processing Time (sec)
Figure 16 WLAN throughput (bits/sec)
Figure 16 show that there is a large increase in overall throughput of WLAN with load
balancing & is of the order of 12,052.98 bits/sec.
V. CONCLUSION
In this paper we have build a model of browsing behavior for a Web client, and use
this model in a simulation study addressing the performance of the campus area network
using OPNET. We have focused on the FTP and Database statistics in the wireless network
environment, and the impacts of factors such as upload/download response time, wireless
LAN media access delay, FTP and Database task processing time have been seen. Moreover
the comparative investigation on various performance metrics in wireless and wire-line LAN
for a balanced and unbalanced network has been presented. It has been observed that the
Database traffic received (bytes/sec) with load balancing is more in comparison with
unbalanced network. we have also observed that the average Database Query response time
with the load balancer is 0.0137 seconds and while without the load balancer it is 0.0075
seconds which indicate the performance improvement in case of Database Query response
time.

300
The observations indicate that FTP traffic send and received is more in case of using
load balancer and there is significant difference in comparison of without load balancing. The
difference of 188 bytes/sec has been observed. The observed results indicate that there is
marginal increase in the FTP upload and download response time which is of the order of
0.1281 and 0.178 seconds. Further it has been noticed that the difference of wireless LAN
delay of the of the order of 0.00016 seconds in both scenario and in case of media access
delay difference in both cases is 0.000005 seconds. Moreover the results indicate that FTP
and DATABASE task processing time in terms of seconds is more in case of load balancing
as compared to that of without load balancing. It has also been noticed that there is a large
increase in overall throughput of WLAN with load balancing & is of the order of 12,052.98
bits/sec because the load balancer need few seconds for balancing the input and output traffic
on the network.
VI. REFERENCES
[1] Manju Sharma, Manoj Kumar and Ajay K Sharma, “HTTP and FTP Statistics for wireless
and wire-line network with and without load balance based on OPNET” presented and
published in “International Journal Of Information and System Sciences Volume 5, Number
1, Pages 112-125, at 2009, Institute For Scientific Computing and Information”
http://www.math.ualberta.ca/ijiss/SS-Volume-5-2009/No-1-09/SS-09-01-09.pdf
[2] B. Bennington and C. Bartel, “Wireless Andrew: xperience Building a High Speed,
Campus-WideWireless Data Network”, Proceedings of ACM MOBICOM, Budapest,
Hungary, pp. 55-65, September 1997.
[3] T. Hansen, P. Yalamanchili and H-W. Braun, “Wireless Measurement and Analysis on
HPWREN”, Proceedings of Passive and Active Measurement Workshop, Fort Collins, Co,
pp. 222-229, March 2002.
[4] D. Kotz and K. Essein, “Analysis of a Campus-Wide Wireless Network”, Proceedings of
ACM MOBICOM, Atlanta, GA, September 2002.
[5] D. Tang and M. Baker, “Analysis of a Local-Area Wireless Network”, Proceedings of
ACM MOBICOM, Boston, MA, pp. 1-10, August 2000.
[6] Soliman A. Al-Wabie, The New Wireless Local Area Networks (WLAN’s) Standard.
University of Maryland, 2002.
[7] IT Guru Academic Edition. OPNET Technologies,
ftp://www.opnet.com/university_program/itguru academic_edition, 2007.
[8] Manju Sharma and Manoj, “Comparative Investigation on Throughput and Client
Response Time for a Switched and Routed Wireless LAN based on OPNET” Presented and
published in the proceedings of National Conference on “Emerging Trends in “Computing
and Communication (ETCC-07) at national institute of Technology, Hamirpur, (HP), India
during July 27-28, 2007, pp 436-44.
[9] Ganesh. B. Khaire, V.S.Ubale and Anuradha. B. Banote, “5G Key Concepts and Wireless
Network Architecture-A Review”, International journal of Electronics and Communication
Engineering & Technology (IJECET), Volume 4, Issue 1, 2013, pp. 200 - 207, ISSN Print:
0976- 6464, ISSN Online: 0976 –6472.
[10] Sohrab Alam and Sindhu Hak Gupta, “Performance Analysis of Cooperative
Communication Wireless Network”, International journal of Electronics and Communication
Engineering & Technology (IJECET), Volume 3, Issue 2, 2013, pp. 301 - 309,
ISSN Print: 0976- 6464, ISSN Online: 0976 –6472.

Ftp and database statistics in wireless network environment for web client 2

Recomendados

Recomendados

Más contenido relacionado

La actualidad más candente

La actualidad más candente (19)

Destacado

Destacado (20)

Similar a Ftp and database statistics in wireless network environment for web client 2

Similar a Ftp and database statistics in wireless network environment for web client 2 (20)

Más de IAEME Publication

Más de IAEME Publication (20)

Último

Último (20)

Ftp and database statistics in wireless network environment for web client 2