Log in

Relevant bibliographies by topics / Scalable Cloud-Based Billing

Contents

Journal articles

Academic literature on the topic 'Scalable Cloud-Based Billing'

Author: Grafiati

Published: 7 June 2025

Last updated: 16 July 2025

Create a spot-on reference in APA, MLA, Chicago, Harvard, and other styles

Select a source type:

Consult the lists of relevant articles, books, theses, conference reports, and other scholarly sources on the topic 'Scalable Cloud-Based Billing.'

Next to every source in the list of references, there is an 'Add to bibliography' button. Press on it, and we will generate automatically the bibliographic reference to the chosen work in the citation style you need: APA, MLA, Harvard, Chicago, Vancouver, etc.

You can also download the full text of the academic publication as pdf and read online its abstract whenever available in the metadata.

Journal articles on the topic "Scalable Cloud-Based Billing"

1

Balachandar Paulraj. "SCALABLE ETL PIPELINES FOR TELECOM BILLING SYSTEMS: A COMPARATIVE STUDY." Darpan International Research Analysis 12, no. 3 (2024): 555–73. http://dx.doi.org/10.36676/dira.v12.i3.107.

Full text

Abstract:

This paper aims at comparing the following scalable ETL processes that are used in telecom billing systems. Telecom environment requires the use of ETL pipelines to process huge amounts of data for billing and other data related functions. This analysis covers various types of ETL solutions such as batch, streaming and cloud based ETL techniques. There are several parameters which have been considered while analyzing the issue including scalability, performance, cost and precision. The results indicate that streaming ETL pipelines come as more efficient in real-time data processing, in contras

APA, Harvard, Vancouver, ISO, and other styles

2

Thota, Praveen Kumar. "Serverless Automation Framework for Scalable and Fault-Tolerant Cloud Operations." International Scientific Journal of Engineering and Management 01, no. 02 (2022): 1–8. https://doi.org/10.55041/isjem00139.

Full text

Abstract:

Progress in cloud computing has resulted in different ways of building, rolling out, and maintaining today’s applications. Serverless computing, which emerged during this period, takes care of managing servers and allows developers to focus only on their code and what it does. The paper looks carefully at a serverless automation framework capable of ensuring scalability and fault tolerance in dynamic cloud. With serverless computing, users rely on event-based architectures and can take advantage of cloud services that handle scaling, keep the system running, and manage billing which is a major

APA, Harvard, Vancouver, ISO, and other styles

3

Abhinay Reddy Malipeddi. "Cloud-Driven Financial Reconciliation for Insurers: Overcoming Data Complexity." Journal of Computer Science and Technology Studies 7, no. 4 (2025): 380–90. https://doi.org/10.32996/jcsts.2025.7.4.45.

Full text

Abstract:

Cloud-driven financial reconciliation represents a transformative opportunity for insurance organizations facing increasingly complex data environments across policy, claims, and billing systems. The fragmented nature of insurance financial ecosystems, characterized by disparate systems and siloed processes, creates persistent reconciliation challenges that impact operational efficiency, regulatory compliance, and strategic decision-making. Legacy reconciliation approaches typically lack standardization and struggle to accommodate growing product complexity and expanding distribution channels.

APA, Harvard, Vancouver, ISO, and other styles

4

Prathamesh, Narendra Deshmukh, Dilip Kale Prajwal, Prabhakar Nandanwar Lokesh, Dyaneshwar Dehanikar Swayam, and B. Gadicha Ajay. "Water Electricity Monitoring Web-Based Application." International Journal of Information technology Research Studies (IJITRS) 1, no. 1 (2025): 36–45. https://doi.org/10.5281/zenodo.15321667.

Full text

Abstract:

Access to clean water and reliable electricity is fundamental to the well-being of individuals and the sustainability of modern societies. As utility consumption rises in urban and semi-urban areas, traditional resource monitoring systems are proving inefficient, delayed, and inadequate for large-scale or real-time management. Manual meter readings and delayed billing processes offer no insights into usage trends or abnormalities, leaving users unaware of excessive consumption or leaks until the end of the billing cycle. This research presents a smart and scalable solution using an Internet of

APA, Harvard, Vancouver, ISO, and other styles

5

Hieke, S., H. Binder, G. Schwarzer, and J. Knaus. "Costs of Cloud Computing for a Biometry Department." Methods of Information in Medicine 52, no. 01 (2013): 72–79. http://dx.doi.org/10.3414/me11-02-0048.

Full text

Abstract:

SummaryBackground: “Cloud” computing providers, such as the Amazon Web Services (AWS), offer stable and scalable computational resources based on hardware virtualization, with short, usually hourly, billing periods. The idea of pay-as-you-use seems appealing for biometry research units which have only limited access to university or corporate data center resources or grids.Objectives: This case study compares the costs of an existing heterogeneous on-site hardware pool in a Medical Biometry and Statistics department to a comparable AWS offer.Methods: The “total cost of ownership”, including al

APA, Harvard, Vancouver, ISO, and other styles

6

Rahul Singh Thakur. "Multi-Tenant Log Search: Designing for Cost-Effectiveness and Performance at Scale." Journal of Computer Science and Technology Studies 7, no. 4 (2025): 854–61. https://doi.org/10.32996/jcsts.2025.7.4.99.

Full text

Abstract:

This article presents a novel architecture for multi-tenant log search systems that addresses the critical challenges of cost efficiency and performance at scale. As organizations deploy increasingly complex distributed systems, the ability to efficiently query and analyze logs becomes essential for maintaining operational reliability. Traditional log search solutions face significant restrictions when scaled to multi-tenant environments, particularly regarding resource efficiency, performance isolation, and cost sustainability. The architecture proposed here employs a comprehensive approach t

APA, Harvard, Vancouver, ISO, and other styles

7

Ansari, Mohd Faiz. "MedManage: Leveraging Technology for Effective Hospital Resource and Patient Management." INTERNATIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT 09, no. 05 (2025): 1–9. https://doi.org/10.55041/ijsrem47129.

Full text

Abstract:

Abstract - Effective management of hospital resources and patient care is crucial in modern healthcare. MedManage is an integrated digital solution designed to optimize hospital operations through advanced technology. It streamlines patient data handling, automates inventory tracking of medical supplies, enhances communication among healthcare professionals, and ensures real-time monitoring of critical resources. The system utilizes a centralized platform to reduce human error, improve decision-making, and promote efficient allocation of both human and material resources. By leveraging data an

APA, Harvard, Vancouver, ISO, and other styles

8

Guo, Yiran, Qi Li, Jare Rozowsky, et al. "METB-09. VARIANT WORKBENCH IN THE KIDS FIRST PROGRAM FACILITATES GENOMIC DISCOVERIES IN PEDIATRIC NEURO-ONCOLOGY RESEARCH." Neuro-Oncology 26, Supplement_4 (2024): 0. http://dx.doi.org/10.1093/neuonc/noae064.250.

Full text

Abstract:

Abstract The Gabriella Miller Kids First Pediatric Research Program (Kids First) aims at facilitating researchers to uncover new insights into the biology of childhood cancer and structural birth defects, including the discovery of shared genetic pathways between these disorders. Kids First Data Resource Center developed the Kids First Data Resource Portal (KFDRP), which is a centralized data platform for both Kids First and collaborative cohorts. Currently, KFDRP facilitates data access for 40 studies with over 35,500 participants. To assist researchers and clinicians in identifying potential

APA, Harvard, Vancouver, ISO, and other styles

9

Nayyar, Anand, Rudra Rameshwar, and Piyush Kanti Dutta. "Special Issue on Recent Trends and Future of Fog and Edge Computing, Services and Enabling Technologies." Scalable Computing: Practice and Experience 20, no. 2 (2019): iii—vi. http://dx.doi.org/10.12694/scpe.v20i2.1558.

Full text

Abstract:

Recent Trends and Future of Fog and Edge Computing, Services, and Enabling Technologies Cloud computing has been established as the most popular as well as suitable computing infrastructure providing on-demand, scalable and pay-as-you-go computing resources and services for the state-of-the-art ICT applications which generate a massive amount of data. Though Cloud is certainly the most fitting solution for most of the applications with respect to processing capability and storage, it may not be so for the real-time applications. The main problem with Cloud is the latency as the Cloud dat

APA, Harvard, Vancouver, ISO, and other styles

10

Urkudkar, Chetan. "Building Scalable ETL Pipelines for HR Data." American Journal of Engineering and Technology 07, no. 06 (2025): 88–95. https://doi.org/10.37547/tajet/volume07issue06-09.

Full text

Abstract:

The article is devoted to the development and experimental validation of scalable ETL pipelines for HR data, aimed at bridging the gap between the volume of heterogeneous workforce events and the capabilities of traditional nightly processes. The relevance of the study is determined by the exponential growth of the HR technology market to USD 40.45 billion in 2024 and its forecasted doubling by 2032 at a 9.2% CAGR, as well as by the fragmentation of corporate systems, which leads to data incompleteness, inconsistency, and latency in turnover metrics and talent-development program effectiveness

APA, Harvard, Vancouver, ISO, and other styles

More sources

We offer discounts on all premium plans for authors whose works are included in thematic literature selections. Contact us to get a unique promo code!