Please use this identifier to cite or link to this item:
https://doi.org/10.21256/zhaw-30396
Publication type: | Conference paper |
Type of review: | Not specified |
Title: | Accounting and billing challenges in large scale emerging cloud technologies |
Authors: | Serhiienko, Oleksii Harsh, Piyush |
et. al: | No |
DOI: | 10.5220/0009415403900399 10.21256/zhaw-30396 |
Published in: | Proceedings of the 10th International Conference on Cloud Computing and Services Science (CLOSER) |
Page(s): | 390 |
Pages to: | 399 |
Conference details: | 10th International Conference on Cloud Computing and Services Science (CLOSER), online, 7-9 May 2020 |
Issue Date: | May-2020 |
Publisher / Ed. Institution: | SciTePress |
ISBN: | 978-989-758-424-4 |
ISSN: | 2184-5042 |
Language: | English |
Subjects: | Accounting; Billing; IoT; Edge; Fog; Cloud; Architecture |
Subject (DDC): | 004: Computer science 657: Accounting |
Abstract: | Billing models which can easily adapt with emerging market opportunities is essential in long term survival of any business. Accounting and billing is also one of the few processes which has wide impact on legal and regulatory compliance, revenue lines as well as customer retention models of all businesses. In the era of rapid technology shifts, with emergence of Fog and Edge deployment models, and marriage of IoT and cloud which promises smart-everything everywhere, it is paramount to understand what new challenges must be addressed within any billing framework. In this paper we list several emerging challenges which should be overcome in architecting any future-ready billing platform. We also present briefly an analysis of few technologies which could be used in prototyping such a solution. We present our proof of concept experiment along with initial results highlighting the feasibility of our proposed architecture towards a scalable billing framework for massively distributed IoT applications at the edge. |
URI: | https://digitalcollection.zhaw.ch/handle/11475/30396 |
Fulltext version: | Published version |
License (according to publishing contract): | CC BY-NC-ND 4.0: Attribution - Non commercial - No derivatives 4.0 International |
Departement: | School of Engineering |
Organisational Unit: | Institute of Computer Science (InIT) |
Appears in collections: | Publikationen School of Engineering |
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File | Description | Size | Format | |
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2020_Harsh-Serhiienko_Accounting-large-scale-cloud-technologies_SciTePress.pdf | 1.09 MB | Adobe PDF | View/Open |
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Serhiienko, O., & Harsh, P. (2020). Accounting and billing challenges in large scale emerging cloud technologies [Conference paper]. Proceedings of the 10th International Conference on Cloud Computing and Services Science (CLOSER), 390–399. https://doi.org/10.5220/0009415403900399
Serhiienko, O. and Harsh, P. (2020) ‘Accounting and billing challenges in large scale emerging cloud technologies’, in Proceedings of the 10th International Conference on Cloud Computing and Services Science (CLOSER). SciTePress, pp. 390–399. Available at: https://doi.org/10.5220/0009415403900399.
O. Serhiienko and P. Harsh, “Accounting and billing challenges in large scale emerging cloud technologies,” in Proceedings of the 10th International Conference on Cloud Computing and Services Science (CLOSER), May 2020, pp. 390–399. doi: 10.5220/0009415403900399.
SERHIIENKO, Oleksii und Piyush HARSH, 2020. Accounting and billing challenges in large scale emerging cloud technologies. In: Proceedings of the 10th International Conference on Cloud Computing and Services Science (CLOSER). Conference paper. SciTePress. Mai 2020. S. 390–399. ISBN 978-989-758-424-4
Serhiienko, Oleksii, and Piyush Harsh. 2020. “Accounting and Billing Challenges in Large Scale Emerging Cloud Technologies.” Conference paper. In Proceedings of the 10th International Conference on Cloud Computing and Services Science (CLOSER), 390–99. SciTePress. https://doi.org/10.5220/0009415403900399.
Serhiienko, Oleksii, and Piyush Harsh. “Accounting and Billing Challenges in Large Scale Emerging Cloud Technologies.” Proceedings of the 10th International Conference on Cloud Computing and Services Science (CLOSER), SciTePress, 2020, pp. 390–99, https://doi.org/10.5220/0009415403900399.
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