International Journal of Electronics and Communication Engineering & Technology (IJECET), ISSN0976 – 6464(Print), ISSN 097...
International Journal of Electronics and Communication Engineering & Technology (IJECET), ISSN0976 – 6464(Print), ISSN 097...
International Journal of Electronics and Communication Engineering & Technology (IJECET), ISSN0976 – 6464(Print), ISSN 097...
International Journal of Electronics and Communication Engineering & Technology (IJECET), ISSN0976 – 6464(Print), ISSN 097...
International Journal of Electronics and Communication Engineering & Technology (IJECET), ISSN0976 – 6464(Print), ISSN 097...
International Journal of Electronics and Communication Engineering & Technology (IJECET), ISSN0976 – 6464(Print), ISSN 097...
International Journal of Electronics and Communication Engineering & Technology (IJECET), ISSN0976 – 6464(Print), ISSN 097...
International Journal of Electronics and Communication Engineering & Technology (IJECET), ISSN0976 – 6464(Print), ISSN 097...
International Journal of Electronics and Communication Engineering & Technology (IJECET), ISSN0976 – 6464(Print), ISSN 097...
International Journal of Electronics and Communication Engineering & Technology (IJECET), ISSN0976 – 6464(Print), ISSN 097...
International Journal of Electronics and Communication Engineering & Technology (IJECET), ISSN0976 – 6464(Print), ISSN 097...
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Ftp and database statistics in wireless network environment for web client 2

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

  1. 1. International Journal of Electronics and Communication Engineering & Technology (IJECET), ISSN0976 – 6464(Print), ISSN 0976 – 6472(Online) Volume 4, Issue 2, March – April (2013), © IAEME290FTP AND DATABASE STATISTICS IN WIRELESS NETWORKENVIRONMENT FOR WEB CLIENTGurtej SinghDepartment of Electronics and CommunicationLovely Professional UniveristyPhagawara, Punjab, IndiaManupriyaDepartment of Electronics and CommunicationSatyam Institute of Engineering and TechnologyAmritsar, Punjab, IndiaR.S. SawhneySr.Lecturer, Department of Electronics TechnologyGuru Nanak Dev UniversityAmritsar, Punjab, IndiaABSTRACTThis paper presents the modeling and implementation of Wireless Local AreaNetwork (WLAN) based on OPNET simulator. Our model is then evaluated to measure theperformance of the wireless local area network for campus/university environment. We testedour model against two types of applications (database and FTP) in two sites each comprisingof 20 users and found that among a set of other parameters response time and Taskprocessing time were highly affected by the number of users per application with and withoutload balancing. OPNET simulation showed the impact of load balancing on wireless andwire-line network for two different types of applications (database and ftp).Keywords: WLAN, Load balancing, Media Access Delay, Ftp response time, TaskProcessing time, throughput.INTERNATIONAL JOURNAL OF ELECTRONICS ANDCOMMUNICATION 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.aspJournal Impact Factor (2013): 5.8896 (Calculated by GISI)www.jifactor.comIJECET© I A E M E
  2. 2. International Journal of Electronics and Communication Engineering & Technology (IJECET), ISSN0976 – 6464(Print), ISSN 0976 – 6472(Online) Volume 4, Issue 2, March – April (2013), © IAEME291I. INTRODUCTIONWireless access points are now common place on many university campuses [1-5].Technologies such as IEEE 802.11b wireless LANs (WLANs) have revolutionalized the waypeople think about networks, by offering users freedom from the constraints of physicalwires. Mobile users are interested in exploiting the full functionality of the technology at theirfingertips, as wireless networks bring closer the “anything, anytime, anywhere” promise ofmobile networking.WLANs are becoming more widely recognized as a general purpose connectivityalternative for a broad range of business customers.Many wireless network standards haveappeared but the most known standards belong to the IEEE 802.11 family, which includes thepopular 802.11b, the 802.11a and the 802.11g. Wireless local area networks (WLANs) arespreading rapidly, their major advantage over wired ones being their easy installation. Theyoffer many benefits to users who can access resources without being forced to stay in oneplace or indoors. The user base can be mobile, scalable, and create quickly-installedtemporary networks. A typical campus/university mobile user (our study environment) hasworkstations equipped with a wireless card and the ability to access a local access point withminimal configuration required. The access point is linked to the wired network through asuitable IP gateway.Several wireless 802.11 technologies are now available. IEEE 802.11b is the wellknown technology. Its bit rate can be up to 11 Mbps in the 2.4 GHz band. IEEE 802.11g is anextension of 802.11b; and works in the same 2.4GHz band, its data rate can be up to 54Mbps. IEEE 802.11a operates in the 5 GHz band up to 54 Mbps. IEEE 802.11a has theadvantage of working in different band from cordless phones, microwave ovens, andBluetooth. IEEE 802.11b and IEEE 802.11a are not compatible. For this paper we havefocused on IEEE 802.11b [5].Due to its limited bandwidth, wireless LAN performance is a hot research topic. Theliterature available showed that the performance of IEEE 802.11b based on wireless networkscan be improved in different ways; such as tuning the physical layer related parameters, someIEEE 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 relatedparameters such as Slot Time, Short Inter-Frame Space (SIFS) and Minimum ContentionWindow can significantly improve the network performance. Also, by choosing appropriateparameters such as Fragmentation Threshold, buffer size, fragmentation threshold and requestto send (RTS) thresholds WLAN performance can be improved.Our paper uses simulation to study a campus/university area network scenario. Weuse 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. Wehave chosen simulative tool- OPNET for our research because of the several benefits it offersover the other contemporary tools available. OPNET provides the set of complete tools and acomplete user interface for topology design and development. Another advantage of usingOPNET is that it is being extensively used and there is wide confidence in the validity of theresults it produces. We parameterize the simulation model based on campus measurements,and validate the model against LAN performance metrics using simple FTP and DATABASEworkload models. We then build a model of browsing behavior for a Web client and use thismodel in a simulation study addressing the performance of the campus area network. Ourexperiments focus on the FTP and DATABASE transaction rate and end-to-end throughputachievable in the wireless network environment, and the impacts of factors such as
  3. 3. International Journal of Electronics and Communication Engineering & Technology (IJECET), ISSN0976 – 6464(Print), ISSN 0976 – 6472(Online) Volume 4, Issue 2, March – April (2013), © IAEME292page/object response time, wireless LAN media access delay. The comparative investigationon various performance metrics in wireless and wire-line LAN for a balanced and unbalancednetwork has been presented.After briefing the introduction in section I, Section II introduces our model, section IIIcovers the scenarios we tested, section IV analyses the results and the conclusion is drawn insection V.II. MODEL OUTLINEThe IEEE 802.11 WLAN architecture is built around a Basic Service Set (BSS). TheIEEE 802.11 standard defines a set of wireless LAN protocols that deliver services similar tothose found in wired Ethernet LAN environments. A BSS is a set of stations thatcommunicate with one another. When all the stations in the BSS can communicate directlywith each other (without a connection to a wired network), the BSS is known as an ad hocWLAN. When a BSS includes a wireless access point (AP) connected to a wired network, theBSS is called an infrastructure network. In this mode, all mobile stations in the WLANcommunicate via the AP, providing access to stations on wired LANs and the world-wideInternet. Figure 1 & 2 shows an outline to the model and is followed by the two wirelessLAN sites (Figure 3-4).Figure 1 OPNET Model without load balancerFigure 2 OPNET Model with load balancer
  4. 4. International Journal of Electronics and Communication Engineering & Technology (IJECET), ISSN0976 – 6464(Print), ISSN 0976 – 6472(Online) Volume 4, Issue 2, March – April (2013), © IAEME293Figure 3 Site 1: Mix of Database and FTP clientsFigure 4 Site 2: Mix of Database and FTP clientsIn our research we considered installing two access points in a campus/universityenvironment where mix of DATABASE and FTP clients were present. Simulations havebeen carried out for our model to determine the optimal performance metrics.Table I and II indicate the application description and the wireless traffic generationparameters.TABLE I. APPLICATION DESCRIPTIONApplications AttributeWeb Browsing FTPBanking Database
  5. 5. International Journal of Electronics and Communication Engineering & Technology (IJECET), ISSN0976 – 6464(Print), ISSN 0976 – 6472(Online) Volume 4, Issue 2, March – April (2013), © IAEME294TABLE II. WIRELESS LAN TRAFFIC GENERATION PARAMETERSAttribute ValueStart Time Offset(seconds)uniform (5,10)Repeatability Once at StartTimeOperation Mode Serial (Random)Start Time (seconds) uniform(100,110)Inter-repetition Time(seconds)constant (300)Number ofRepetitionsconstant (30)Repetition Pattern SerialEfficiency ParametersTable III summarizes the efficiency parameters we simulated.TABLE III. SIMULATED PARAMETERSApplication Parameter UnitFTPTraffic SentTraffic ReceivedUpload Response TimeDownload Response TimeTask Processing TimeBytes/secBytes/secSecondsSecondsSecondsDatabaseTraffic SentTraffic ReceivedResponse TimeTask Processing TimeBytes/secBytes/secSecondsSecondsWLANDelayMedia Access DelayThroughputSecondsSecondsBits/secIII. SIMULATED SCENARIOSA simulation model was developed using OPNET [7]. OPNET 802.11b PHY modulewas used as a standard with maximum data rate up to 11Mb/s. IEEE 802.11b frequencyhopping was used in which slot time was 50µs. In this section, we consider the case of twoscenarios.
  6. 6. International Journal of Electronics and Communication Engineering & Technology (IJECET), ISSN0976 – 6464(Print), ISSN 0976 – 6472(Online) Volume 4, Issue 2, March – April (2013), © IAEME295Scenario 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 ANALYSISTwelve graphs were selected after simulating our model (Figures 5 through 16). Allgraphs show a combination of the 2 scenarios. From figure 5 & 6 it has been observed thatthe Database traffic sent (bytes/sec) & received (bytes/sec) with load balancing is more incomparison with unbalanced network. From figure 7 we have also observed that the averageDatabase Query response time with the load balancer is 0.0137 seconds and while without theload balancer it is 0.0075 seconds, which indicate the performance improvement in case ofDatabase Query response time.Figure 5 Database Traffic sent (bytes/sec)Figure 6 Database Traffic received (bytes/sec)
  7. 7. International Journal of Electronics and Communication Engineering & Technology (IJECET), ISSN0976 – 6464(Print), ISSN 0976 – 6472(Online) Volume 4, Issue 2, March – April (2013), © IAEME296Figure 7 Database Query Response time (sec)Figure 8 FTP traffic sent (bytes/sec)Figure 9 FTP traffic received (bytes/sec)
  8. 8. International Journal of Electronics and Communication Engineering & Technology (IJECET), ISSN0976 – 6464(Print), ISSN 0976 – 6472(Online) Volume 4, Issue 2, March – April (2013), © IAEME297The observations in figure 8 and 9 indicate that FTP traffic send and received is morein case of using load balancer and there is significant difference in comparison of withoutload balancing. The difference of 188 bytes/sec has been observed at 20 minutes. The figure10 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 downloadresponse 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)
  9. 9. International Journal of Electronics and Communication Engineering & Technology (IJECET), ISSN0976 – 6464(Print), ISSN 0976 – 6472(Online) Volume 4, Issue 2, March – April (2013), © IAEME298Figure 13 Wireless LAN media access delay (sec)From figure 12 it has been noticed that the difference of wireless LAN delay of the ofthe order of 0.00016 seconds in both scenario and in case of media access delay difference inboth cases in 0.000005 seconds as shown in figure 13. In figure 14, it has been observed thattask processing time in case of Database server with load balance is 0.00051 seconds andwithout load balance it is 0.000019 seconds.In figure 15, it has been observed that task processing time in case of FTP server withload 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 morein case of load balancing as compared to that of without load balancing.Figure 14 Database Task Processing Time (sec)
  10. 10. International Journal of Electronics and Communication Engineering & Technology (IJECET), ISSN0976 – 6464(Print), ISSN 0976 – 6472(Online) Volume 4, Issue 2, March – April (2013), © IAEME299Figure 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 loadbalancing & is of the order of 12,052.98 bits/sec.V. CONCLUSIONIn this paper we have build a model of browsing behavior for a Web client, and usethis model in a simulation study addressing the performance of the campus area networkusing OPNET. We have focused on the FTP and Database statistics in the wireless networkenvironment, and the impacts of factors such as upload/download response time, wirelessLAN media access delay, FTP and Database task processing time have been seen. Moreoverthe comparative investigation on various performance metrics in wireless and wire-line LANfor a balanced and unbalanced network has been presented. It has been observed that theDatabase traffic received (bytes/sec) with load balancing is more in comparison withunbalanced network. we have also observed that the average Database Query response timewith the load balancer is 0.0137 seconds and while without the load balancer it is 0.0075seconds which indicate the performance improvement in case of Database Query responsetime.
  11. 11. International Journal of Electronics and Communication Engineering & Technology (IJECET), ISSN0976 – 6464(Print), ISSN 0976 – 6472(Online) Volume 4, Issue 2, March – April (2013), © IAEME300The observations indicate that FTP traffic send and received is more in case of usingload balancer and there is significant difference in comparison of without load balancing. Thedifference of 188 bytes/sec has been observed. The observed results indicate that there ismarginal increase in the FTP upload and download response time which is of the order of0.1281 and 0.178 seconds. Further it has been noticed that the difference of wireless LANdelay of the of the order of 0.00016 seconds in both scenario and in case of media accessdelay difference in both cases is 0.000005 seconds. Moreover the results indicate that FTPand DATABASE task processing time in terms of seconds is more in case of load balancingas compared to that of without load balancing. It has also been noticed that there is a largeincrease in overall throughput of WLAN with load balancing & is of the order of 12,052.98bits/sec because the load balancer need few seconds for balancing the input and output trafficon the network.VI. REFERENCES[1] Manju Sharma, Manoj Kumar and Ajay K Sharma, “HTTP and FTP Statistics for wirelessand wire-line network with and without load balance based on OPNET” presented andpublished in “International Journal Of Information and System Sciences Volume 5, Number1, 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 onHPWREN”, 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 ofACM MOBICOM, Atlanta, GA, September 2002.[5] D. Tang and M. Baker, “Analysis of a Local-Area Wireless Network”, Proceedings ofACM 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 ClientResponse Time for a Switched and Routed Wireless LAN based on OPNET” Presented andpublished in the proceedings of National Conference on “Emerging Trends in “Computingand Communication (ETCC-07) at national institute of Technology, Hamirpur, (HP), Indiaduring July 27-28, 2007, pp 436-44.[9] Ganesh. B. Khaire, V.S.Ubale and Anuradha. B. Banote, “5G Key Concepts and WirelessNetwork Architecture-A Review”, International journal of Electronics and CommunicationEngineering & 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 CooperativeCommunication Wireless Network”, International journal of Electronics and CommunicationEngineering & Technology (IJECET), Volume 3, Issue 2, 2013, pp. 301 - 309,ISSN Print: 0976- 6464, ISSN Online: 0976 –6472.

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