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Reseach Article

Distributed Data Transaction of an Apache Web Server using Bulk Service Rule

by V.B.Kirubanand, Dr.S.Palaniammal
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 24 - Number 8
Year of Publication: 2011
Authors: V.B.Kirubanand, Dr.S.Palaniammal
10.5120/2974-3334

V.B.Kirubanand, Dr.S.Palaniammal . Distributed Data Transaction of an Apache Web Server using Bulk Service Rule. International Journal of Computer Applications. 24, 8 ( June 2011), 1-4. DOI=10.5120/2974-3334

@article{ 10.5120/2974-3334,
author = { V.B.Kirubanand, Dr.S.Palaniammal },
title = { Distributed Data Transaction of an Apache Web Server using Bulk Service Rule },
journal = { International Journal of Computer Applications },
issue_date = { June 2011 },
volume = { 24 },
number = { 8 },
month = { June },
year = { 2011 },
issn = { 0975-8887 },
pages = { 1-4 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume24/number8/2974-3334/ },
doi = { 10.5120/2974-3334 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T20:10:24.940525+05:30
%A V.B.Kirubanand
%A Dr.S.Palaniammal
%T Distributed Data Transaction of an Apache Web Server using Bulk Service Rule
%J International Journal of Computer Applications
%@ 0975-8887
%V 24
%N 8
%P 1-4
%D 2011
%I Foundation of Computer Science (FCS), NY, USA
Abstract

The main theme of this paper is to find the Distributed Data Transaction of an Apache web server using bulk service rule. We obtain the parameter of service rate, Arrival rate, Expected waiting time and Expected Busy period. The inter arrival and inter service of HTTP request is assumed to Poisson Distribution Process (PDP) and these events are considered in the server for process sharing. The total number of requests are processed, there is no time limited to arrivals. While compared to some models, our model of M/M (1, b)/1 is more efficient to find response and request time in between client and server. This model has been validated through java programming. The performance has been found in the model of M/M (1, b)/1 which fits well to the practical outcome in client and web server.

References
  1. J.Hu. S.Mungee and D. Schmidt, “Principles for develoing and measuring high-performance web servers over ATM”, in proceedings of INFOCOM’98, march/April 1998.
  2. D.A.Menasce and V.A.F.Almeida, capacity planning for webservices, prentice hall,2002.
  3. “Apachewebserver”, http://www.apache.org.
  4. F.Bause, P. Buchholz, and p. kemper, hierarchically combined queueing petri nets. In proc of 11th intl. conference on analysis and optimization of systems, Discrete event systems, sophie-antipolis france 1994.
  5. Web servers, http://www.knowledgerush.com
  6. Netcraftwebserversurvey, http://www.netcraft.com/survey/archive.html.
  7. J.cao and c.nyberg, “on overload control through queue length for webservers”, in 16th Nordic teletraffic seminar, 2002, esboo, finland.
  8. J. Dilley, R. Friedrich, T. jin and J.Rolia, web server performance measurement and modeling techniques”, performance evaluation. Vol.33, pp. 5-26, 1998.
  9. Performance modeling of an apache web server with bursty arrival traffic,”mikael Anderson, jianhua cao, maria kihl and Christian Nyberg”.
  10. J. cao. M. Anderson, C. Nyberg, M.Kihl, Web server performance modeling using an M/G/1/K*PS Queue”, in 10th international conference on telecommunications, 2003, papeete, Tahiti.
  11. N. Widell. “Performance of distributed information systems”. Department of communication systems, lund institute of technology, tech, rep. 144, 2002, lic. Thesis.
  12. Application of client server networking in wireless technologies by using markov algorithm and queueing petri nets with the security of steganography. V.b.kirubanand, S.palaniammal, CIITpublishers.April 2009.
  13. Performance modeling of an apache web server with dusty arrival traffic. Mikel Anderson, Jianhua cao, Maria Kihl and chistian Nyberg)
  14. F. Bause. “QN+PN=QPN” combining Queuing networks and Petri nets. Technical report no.461.1993.
  15. H. Heffes. “A class of Data Traffic Processes – Covariance function charaterizationn and related queuing results” The bell system technical journal, vol. 59, no.6 July-august 1980.
  16. performance modeling of distributed e-business application using queing petri nets Kounev, S.Buchmann.A. 2003.
Index Terms

Computer Science
Information Sciences

Keywords

World Wide Web Web Server bulk service rule PDP