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Reseach Article

Implementation of Job Scheduling Algorithms in a Cloud Computing Environment for B2C Electronic Commerce architecture using GI/G/1 queuing model

by Riktesh Srivastava
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 42 - Number 1
Year of Publication: 2012
Authors: Riktesh Srivastava
10.5120/5654-7541

Riktesh Srivastava . Implementation of Job Scheduling Algorithms in a Cloud Computing Environment for B2C Electronic Commerce architecture using GI/G/1 queuing model. International Journal of Computer Applications. 42, 1 ( March 2012), 1-8. DOI=10.5120/5654-7541

@article{ 10.5120/5654-7541,
author = { Riktesh Srivastava },
title = { Implementation of Job Scheduling Algorithms in a Cloud Computing Environment for B2C Electronic Commerce architecture using GI/G/1 queuing model },
journal = { International Journal of Computer Applications },
issue_date = { March 2012 },
volume = { 42 },
number = { 1 },
month = { March },
year = { 2012 },
issn = { 0975-8887 },
pages = { 1-8 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume42/number1/5654-7541/ },
doi = { 10.5120/5654-7541 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T20:30:20.890258+05:30
%A Riktesh Srivastava
%T Implementation of Job Scheduling Algorithms in a Cloud Computing Environment for B2C Electronic Commerce architecture using GI/G/1 queuing model
%J International Journal of Computer Applications
%@ 0975-8887
%V 42
%N 1
%P 1-8
%D 2012
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Traditional B2C Electronic Commerce architecture instigated using n-Tier Client/Server architecture has continually been sluggish, intricate, and costly. With the advent of Cloud computing environment, the amenities vital for the Electronic Commerce architecture are accomplished by proficient organization, which comprises servers, storage supervision, network skills, and virtualization technologies. The research recommends the Job Scheduling algorithm and its enactment on B2C Electronic Commerce architecture. The algorithm is implemented using GI/G/1 Queuing model, to assess the performance of the proposed algorithm using four queuing parameters, specifically, Average numbers of requests in an B2C E-Commerce architecture, Average numbers of requests in the queue, Average waiting time of requests in an B2C E-Commerce architecture, Average waiting time of requests in queue. Finally, the allied simulations and numeral results are provided, to relate the performance of the proposed algorithm.

References
  1. "Technologies for Next Generation Networks", http://www. fub. it/it/aree/tecnologieretinuovagenerazione, 17/09/2011.
  2. "INTERNET USAGE STATISTICS, The Internet Big Picture", http://www. internetworldstats. com/stats. htm, 23/09/2011.
  3. "CLOUD COMPUTING – An Overview", http://www. thbs. com/pdfs/Cloud-Computing-Overview. pdf, 30/09/2011.
  4. Riktesh Srivastava et. al, "Design and Implementation of G/G/1 Queuing Model Algorithm w. r. t. its Applicability for Internet Gateway Server", International Arab Journal of Information Technology (IAJIT), Volume 5, Number. 4, October 2008, ISSN: 1683-3198.
  5. Riktesh Srivastava, et. al, "Memory Estimation of Internet Server using Queuing Theory: Comparative Study between M/G/1, G/M/1 and G/G/1 Queuing Model", International Journal of Computer and Information Science and Engineering (IJCISE), Volume 1 Number 2, 2007 ISSN: 1307-4164.
  6. Riktesh Srivastava, et. al, "Estimation of Buffer Size of Internet Gateway Server via G/M/1 Queuing Model", International Journal of Applied Science, Engineering and Technology, Volume 19, pp. 474-482, January 2007.
  7. Riktesh Srivastava, et. al, "Estimation of Buffer Size of Internet Gateway Server via G/M/1 Queuing Model", International Journal of Applied Science, Engineering and Technology, (IJASET) Volume4, Number 1, 2007, ISSN: 1307-4318.
Index Terms

Computer Science
Information Sciences

Keywords

Cloud Computing Gi/g/1 Queuing Theory Job Scheduling Algorithm