Edge Computing: Utilization of the Internet of Things for Time-Sensitive Data Processing
DOI:
https://doi.org/10.18034/abr.v11i2.547Keywords:
Edge-computing, Internet of Things, Artificial Intelligence, Cloud, Bandwidth, End-Point, Machine LearningAbstract
An edge computing system is a shared IT (Information Technology) system where customer data can be processed at the edge of the network to as close as possible to the originating source. The Internet of Things connects the various things on the internet, making it easier to live and allow jobs to be done more smartly. It also gives total control to the users. The combination of Edge computing and the Internet of Things can potentially result in huge possibilities for users. This work accessed edge computing and the benefits of using edge computing. It also looked into how to edge the many possibilities that can result in the use of edge computing. Various similar concepts like fog and cloud computing were also considered as closely related terms. This article provides insights into the use of edge computing in several industries.
Downloads
References
Ahmed, A. A. A., Aljarbouh, A., Donepudi, P. K., & Choi, M. S. (2021a). Detecting Fake News using Machine Learning: A Systematic Literature Review. Psychology and Education, 58(1), 1932–1939. https://zenodo.org/record/4494366. https://doi.org/10.5281/zenodo.4494366 DOI: https://doi.org/10.17762/pae.v58i1.1046
Ahmed, A. A. A.; Paruchuri, H.; Vadlamudi, S.; & Ganapathy, A. (2021b). Cryptography in Financial Markets: Potential Channels for Future Financial Stability. Academy of Accounting and Financial Studies Journal, 25(4), 1–9. https://doi.org/10.5281/zenodo.4774829
Amin, R., & Vadlamudi, S. (2021). Opportunities and Challenges of Data Migration in Cloud. Engineering International, 9(1), 41-50. https://doi.org/10.18034/ei.v9i1.529 DOI: https://doi.org/10.18034/ei.v9i1.529
Azad, M. M., Ganapathy, A., Vadlamudi, S., Paruchuri, H. (2021). Medical Diagnosis using Deep Learning Techniques: A Research Survey. Annals of the Romanian Society for Cell Biology, 25(6), 5591–5600. Retrieved from https://www.annalsofrscb.ro/index.php/journal/article/view/6577
Donepudi, P. K., Ahmed, A. A. A., Hossain, M. A., & Maria, P. (2020a). Perceptions of RAIA Introduction by Employees on Employability and Work Satisfaction in the Modern Agriculture Sector. International Journal of Modern Agriculture, 9(4), 486–497. https://doi.org/10.5281/zenodo.4428205
Donepudi, P. K., Banu, M. H., Khan, W., Neogy, T. K., Asadullah, ABM., & Ahmed, A. A. A. (2020b). Artificial Intelligence and Machine Learning in Treasury Management: A Systematic Literature Review. International Journal of Management, 11(11), 13–22. https://doi.org/10.5281/zenodo.4247297
Ganapathy, A. (2019). Mobile Remote Content Feed Editing in Content Management System. Engineering International, 7(2), 85-94. https://doi.org/10.18034/ei.v7i2.545
Ganapathy, A., Redwanuzzaman, M., Rahaman, M. M., & Khan, W. (2020). Artificial Intelligence Driven Crypto Currencies. Global Disclosure of Economics and Business, 9(2), 107-118. https://doi.org/10.18034/gdeb.v9i2.557 DOI: https://doi.org/10.18034/gdeb.v9i2.557
Paruchuri, H. (2019). Market Segmentation, Targeting, and Positioning Using Machine Learning. Asian Journal of Applied Science and Engineering, 8(1), 7-14. Retrieved from https://journals.abc.us.org/index.php/ajase/article/view/1193
Paruchuri, H. (2020). The Impact of Machine Learning on the Future of Insurance Industry. American Journal of Trade and Policy, 7(3), 85-90. https://doi.org/10.18034/ajtp.v7i3.537 DOI: https://doi.org/10.18034/ajtp.v7i3.537
Paruchuri, H. (2021). Conceptualization of Machine Learning in Economic Forecasting. Asian Business Review, 11(1), 51-58. https://doi.org/10.18034/abr.v11i1.532 DOI: https://doi.org/10.18034/abr.v11i2.532
Paruchuri, H.; Vadlamudi, S.; Ahmed, A. A. A.; Eid, W.; Donepudi, P. K. (2021). Product Reviews Sentiment Analysis using Machine Learning: A Systematic Literature Review. Turkish Journal of Physiotherapy and Rehabilitation, 23(2), 2362-2368, https://turkjphysiotherrehabil.org/pub/pdf/322/32-2-316.pdf
Vadlamudi, S. (2016). What Impact does Internet of Things have on Project Management in Project based Firms?. Asian Business Review, 6(3), 179-186. https://doi.org/10.18034/abr.v6i3.520
Vadlamudi, S. (2019). How Artificial Intelligence Improves Agricultural Productivity and Sustainability: A Global Thematic Analysis. Asia Pacific Journal of Energy and Environment, 6(2), 91-100. https://doi.org/10.18034/apjee.v6i2.542 DOI: https://doi.org/10.18034/apjee.v6i2.542
Vadlamudi, S. (2020a). Internet of Things (IoT) in Agriculture: The Idea of Making the Fields Talk. Engineering International, 8(2), 87-100. https://doi.org/10.18034/ei.v8i2.522 DOI: https://doi.org/10.18034/ei.v8i2.522
Vadlamudi, S. (2020b). The Impacts of Machine Learning in Financial Crisis Prediction. Asian Business Review, 10(3), 171-176. https://doi.org/10.18034/abr.v10i3.528
Vadlamudi, S. (2021a). The Economics of Internet of Things: An Information Market System. Asian Business Review, 11(1), 35-40. https://doi.org/10.18034/abr.v11i1.523
Vadlamudi, S. (2021b). The Internet of Things (IoT) and Social Interaction: Influence of Source Attribution and Human Specialization. Engineering International, 9(1), 17-28. https://doi.org/10.18034/ei.v9i1.526 DOI: https://doi.org/10.18034/ei.v9i1.526
Vadlamudi, S.; Paruchuri, H.; Ahmed, A. A. A.; Hossain, M. S.; & Donepudi, P. K. (2021). Rethinking Food Sufficiency with Smart Agriculture using Internet of Things. Turkish Journal of Computer and Mathematics Education, 12(9), 2541–2551. https://turcomat.org/index.php/turkbilmat/article/view/3738
--0--
Published
Issue
Section
License
Asian Business Review is an Open Access journal. Authors who publish with this journal agree to the following terms:
- Authors retain copyright and grant the journal the right of first publication with the work simultaneously licensed under a CC BY-NC 4.0 International License that allows others to share the work with an acknowledgment of the work's authorship and initial publication in this journal.
- Authors are able to enter into separate, additional contractual arrangements for the non-exclusive distribution of the journal's published version of their work (e.g., post it to an institutional repository or publish it in a book), with an acknowledgment of its initial publication in this journal. We require authors to inform us of any instances of re-publication.
How to Cite
