International Journal of Distributed and Cloud Computing

Open Access Open Access  Restricted Access Subscription Access
Open Access Open Access Open Access  Restricted Access Restricted Access Subscription Access

Optimal Processing Time for B2C Electronic Commerce Architecture in a Cloud Computing Environment


Affiliations
1 Information Systems, Skyline University College, Sharjah, United Arab Emirates
     

   Subscribe/Renew Journal


Hosting electronic commerce applications in a client/server architecture was problematic, and moreover these companies were retail focused, rather than technology organizations. Advent of cloud computing has solved the problems of technological requirements, however, handling massive traffic was still a challenge. Citing this reason, these companies relocated to public cloud environment expecting to resolve the issues. But, failure persisted owing to number of requests being increased tenfold. The numbers augmented due to usage of mobile and tablets and the existing architecture was not prepared for such a substantial growth and often resulted in breakdown. The study is an effort to mathematically evaluating the optimal processing time for an architecture hosted in a public cloud.

Keywords

Electronic Commerce Architecture, Request Time, Response Time, Optimal Processing Time.
Subscription Login to verify subscription
User
Notifications
Font Size


  • A. Homer, “Professional Active Server Pages 3.0.,” Wrox Press, 2000.

  • M. D. Dikaiakos, “Cloud computing: Distributed internet computing for IT and scientific research,” IEEE Internet Computing, pp. 10-13, 2009.

  • eMarketer, “Worldwide Retail E-commerce Sales Will Reach $1.915 Trillion This Year,” eMarketer, 2016.

  • H. Julka, “Flipkart revs up engine ahead of ‘Big-Billion’ sale,” The Economic Times, 2015. Available: http://economictimes.indiatimes.com/industry/services/retail/flipkart-revs-up-engine-ahead-of-big-billion-sale/articleshow/49220661.cms

  • V. Kulkarni, “Cloud computing impact on growth of ecommerce applications,” ESDS, 2015. Available: https://www.esds.co.in/blog/cloud-computing-impact-on-growth-of-ecommerce-applications/#sthash.wdfCmwNe.hYv3NHQx.dpbs

  • L. K. Singh, and R. Srivastava, “Estimation of buffer size of internet gateway server via G/M/1 queuing model,” International Journal of Applied Science, Engineering and Technology, vol. 4, no.1, pp. 474-482, January, 2007.

  • L. K. Singh, and R. Srivastava, “Design and implementation of G/G/1 queuing model algorithm for its applicability in internet gateway server,” The International Arab Journal of Information Technology, vol. 5, no. 4, pp. 111-119, October, 2008.

  • A. C. Madrigal, “There Will Be as Much Mobile Commerce in 2018 as E-Commerce in 2013.” Goldman Sachs, 2013.

  • P. Pani, and R. Kurup, Flipkart fumbles on the big day as server fails. The Hindu (BusinessLine). Available: http://www.thehindubusinessline.com/info-tech/big-billion-day-sale-flipkart-site-crashes-on-heavy-demand/article6475295.ece

  • R. Srivastava, 2014. “Evaluation of response time using gang scheduling algorithm for B2C electronic commerce architecture implemented in cloud computing environment by queuing models,” International Journal of Future Computer and Communication, vol. 2, no. 2, pp. 71-75, 2013.

  • D. Sarkar, “Big Billion Day’ sale gets Flipkart millions of unhappy customers,” The Indian, 2014. Express. Available: http://indianexpress.com/article/technology/technology-others/bigbillionday-gets-flipkart-millions-of-unhappy-customers/

  • H. Silver, “Top 8 Mobile Shopping Problems,” Multichannel Merchant, 2016, Available: http://multichannelmerchant.com/ecommerce/top-8-mobile-shopping-problems-16022016/

  • Srivastava, R. “Estimation of Data Base (DB) server cache size using GI/G/n/k queuing model,” International Journal of Advancements in Technology, vol. 3, no. 4, pp. 230-241, December, 2012.

  • Thiru, “E-Commerce Architecture,” 2016. Available: http://www.myreadingroom.co.in/notes-and-studymaterial/66-e-commerce/517-e-commerce-architecture.html

  • J. Vignesh, “Flipkart to use Microsoft Azure for its cloud infrastructure,” The Times of India, 2017. Available: http://timesofindia.indiatimes.com/companies/flipkart-to-use-microsoft-azure-for-its-cloud-infrastructure/articleshow/57251465.cms


Abstract Views: 268

PDF Views: 1




  • Optimal Processing Time for B2C Electronic Commerce Architecture in a Cloud Computing Environment

Abstract Views: 268  |  PDF Views: 1

Authors

Riktesh Srivastava
Information Systems, Skyline University College, Sharjah, United Arab Emirates

Abstract


Hosting electronic commerce applications in a client/server architecture was problematic, and moreover these companies were retail focused, rather than technology organizations. Advent of cloud computing has solved the problems of technological requirements, however, handling massive traffic was still a challenge. Citing this reason, these companies relocated to public cloud environment expecting to resolve the issues. But, failure persisted owing to number of requests being increased tenfold. The numbers augmented due to usage of mobile and tablets and the existing architecture was not prepared for such a substantial growth and often resulted in breakdown. The study is an effort to mathematically evaluating the optimal processing time for an architecture hosted in a public cloud.

Keywords


Electronic Commerce Architecture, Request Time, Response Time, Optimal Processing Time.

References