Dynamic Microservice based scalable approach to list product deals
##plugins.themes.academic_pro.article.main##
Abstract
Customers always have to compare product prices and offers across several websites when they go to purchase a specific item. The solution seeks to address the fore mentioned issue. The comparison that Google Search now offers is focused more on text search than anything else. The pricing and any available coupons or discounts on that website are not listed. This paper proposes a solution- a price-deals-lister, a microservice based website which scrapes the various e-commerce websites and get the deals available, stores them in database and later the request processor unit will take the data from the database according to the user’s request and show it to the user. Customers and retailers alike will benefit from this initiative because it allows them to quickly and easily access all the data with just one click. Anyone can access the website and compare the offers found on other e-commerce websites. In view of the Market analysis, Shopkeepers can use a website to verify the current market price of a product, especially retailers that must offer their goods with tight margins. After that, they can raise
the product’s price in their store and sell it for a fair amount to make a profit. Shop owners can learn about various lucrative offers that are currently being offered for a specific product and utilize that knowledge to better serve their customers. Producers can research the products that consumers are most interested in and concentrate on making those products. Additionally, by providing the finest deals to the clients, they might consider various strategies for increasing the profitability of the products.
##plugins.themes.academic_pro.article.details##
This work is licensed under a Creative Commons Attribution 4.0 International License.
References
- Baboi, Mihai Iftene, A. . G. D. 2019. Dynamic microservices to create scalable and fault tolerance architecture. Procedia Computer Science Vol.63, No.4. DOI: https://doi.org/10.1016/j.procs.2019.09.271
- Francesco, Paolo, M. I. L. . P. 2017. Research on architecting microservices: Trends, focus, and potential for industrial adoption. Vrije University Amsterdam, The Netherlands, 21–30.10.1109/ICSA.2017.24 DOI: https://doi.org/10.1109/ICSA.2017.24
- Francesco, Paolo Lago, P. . M. I. 2019. Architecting with microservices: a systematic mapping study. Journal of Systems and Software, 1–30.
- Hamzehloui, Mohammad Sahibuddin, S. . A. A. 2019. A study on the most prominent areas of research in microservices. International Journal of Machine Learning and Computing, 9.242–247. 10.18178/ijmlc.2019.9.2.793. DOI: https://doi.org/10.18178/ijmlc.2019.9.2.793
- pallavi wankhede(Shelke), . D. R. S. 2022. Analysis of time factor with resource provisioning frameworks in cloud environment for improving scheduling performance. International Journal of Next-Generation Computing Vol.13, No.3. DOI: https://doi.org/10.47164/ijngc.v13i3.886
- Rezaei Nasab, Ali Shahin, M. . R. S. . L. P. . M. A. . L. V. 2022. An empirical study of security practices for microservices systems. Journal of Systems and Software. DOI: https://doi.org/10.1016/j.jss.2022.111563
- Vera-Rivera, Fredy Gaona, M. . A. H. 2021a. . defining and measuring microservice granularity—a literature overview. PeerJ Computer Science. 7. e695. 10.7717/peerj-cs.695. DOI: https://doi.org/10.7717/peerj-cs.695
- Vera-Rivera, Fredy Gaona, M. . A. H. 2021b. Microservices backlog – a genetic programming technique for identification and evaluation of microservices from user stories. IEEE Access, PP. 1–1.10.1109/ACCESS.2021.3106342. DOI: https://doi.org/10.1109/ACCESS.2021.3106342
- Xu, Ronghua Chen, Y. . B. E. . C. G. . A. A. . S. D. 2020. Hybrid blockchain-enabled secure microservices fabric for decentralized multi-domain avionics systems ”. (Conference Presentation). 19. 10.1117/12.2559036. DOI: https://doi.org/10.1117/12.2559036