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

Author: Grafiati

Published: 7 June 2025

Last updated: 16 July 2025

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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.

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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

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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.

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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

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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.

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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.

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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.

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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

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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.

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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

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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.

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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

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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.

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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

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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.

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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

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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.

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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

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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.

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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

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Researcher. "BUILDING A SCALABLE AUTOMATION FRAMEWORK FOR YOUR ORGANIZATION." International Journal of Computer Engineering and Technology (IJCET) 15, no. 5 (2024): 278–87. https://doi.org/10.5281/zenodo.13777356.

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This comprehensive article explores the critical importance of building scalable automation frameworks in today's rapidly evolving business landscape. It examines the growing automation testing market, projected to reach $20.7 billion by 2021, and discusses the key drivers behind this surge in adoption. The article delves into the necessity for scalability in automation initiatives, outlining a five-step strategy for designing scalable automation frameworks. It also analyzes various tools and platforms for managing large-scale automations, including RPA, intelligent automation, integration pla

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Researcher. "BUILDING RESILIENT AND SCALABLE PAYMENT GATEWAYS FOR THE FUTURE." International Journal of Research In Computer Applications and Information Technology (IJRCAIT) 7, no. 2 (2024): 1000–1016. https://doi.org/10.5281/zenodo.14055587.

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As digital transactions dominate the global financial landscape, the need for robust, scalable, and secure payment gateways has never been more critical. This article explores the key considerations and challenges in designing and implementing payment gateways that can handle high transaction volumes, ensure low latency, and maintain compliance with evolving global financial regulations. The article reveals that modern payment infrastructures must process volume surging to over 40,000 transactions per second during peak periods while maintaining processing times under 100 milliseconds. The art

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Yi, Peng, Lei Liang, Da Zhang, et al. "KGFabric: A Scalable Knowledge Graph Warehouse for Enterprise Data Interconnection." Proceedings of the VLDB Endowment 17, no. 12 (2024): 3841–54. http://dx.doi.org/10.14778/3685800.3685810.

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Based on the diversified application scenarios at Ant Group, we built the Ant Knowledge Graph Platform (AKGP). It has constructed numerous domain-specific knowledge graphs related to merchants, companies, accounts, products, and more. AKGP manages trillions of structured knowledge graphs, serving search, recommendation, risk control and other businesses. However, as the demand increasing for various workloads such as graph pattern matching, graph representation learning, and cross-domain knowledge reuse, the existing warehouse systems based on relational DBMS or graph databases are unable to m

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Jones, Graham B., Andrew Bryant, and Justin Wright. "Democratizing Global Health Care Through Scalable Emergent (Beyond the Mobile) Wireless Technologies." JMIR Biomedical Engineering 7, no. 1 (2022): e31079. http://dx.doi.org/10.2196/31079.

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Advances in mobile phone technologies coupled with the availability of modern wireless networks are beginning to have a marked impact on digital health through the growing array of apps and connected devices. That said, limited deployment outside of developed nations will require additional approaches to collectively reach the 8 billion people on earth. Another consideration for development of digital health centered around mobile devices lies in the need for pairing steps, firmware updates, and a variety of user inputs, which can increase friction for the patient. An alternate, so-called Beyo

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15

Pitkar, Harshad. "Cloud Security Automation Through Symmetry: Threat Detection and Response." Symmetry 17, no. 6 (2025): 859. https://doi.org/10.3390/sym17060859.

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Cloud security automation has emerged as a critical solution for organizations facing increasingly complex cybersecurity challenges in cloud environments. This study examines the current state of cloud security automation, focusing on its role in symmetry between threat detection and response capabilities. Through analysis of recent market trends and technological developments, this paper explores key technologies, including Security Information and Event Management (SIEM), Extended Detection and Response (XDR), and Security Orchestration, Automation, and Response (SOAR) platforms. The integra

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Pantser, R. "INNOVATIONS AND TECHNOLOGIES IN BUSINESS PLANNING OF SERVICE ENTERPRISES: LATEST APPROACHES AND THEIR APPLICATION." Visnyk Universytetu “Ukraina”, no. 13 (40) (2025): 193–206. https://doi.org/10.36994/2707-4110-2025-13-40-18.

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The article provides an in-depth analysis of the latest approaches to the use of innovations and technologies in the business planning processes of service enterprises. As the global economy continues to evolve at an accelerated pace, service-based businesses face increasing pressure to adapt to rapidly changing market dynamics, customer expectations, and technological advancements. In response to these challenges, innovative technologies have become an essential part of business planning, enabling companies to stay competitive, enhance operational efficiency, and offer superior customer exper

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17

Hafsa, Mounir, and Farah Jemili. "Comparative Study between Big Data Analysis Techniques in Intrusion Detection." Big Data and Cognitive Computing 3, no. 1 (2018): 1. http://dx.doi.org/10.3390/bdcc3010001.

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Cybersecurity ventures expect that cyber-attack damage costs will rise to $11.5 billion in 2019 and that a business will fall victim to a cyber-attack every 14 seconds. Notice here that the time frame for such an event is seconds. With petabytes of data generated each day, this is a challenging task for traditional intrusion detection systems (IDSs). Protecting sensitive information is a major concern for both businesses and governments. Therefore, the need for a real-time, large-scale and effective IDS is a must. In this work, we present a cloud-based, fault tolerant, scalable and distributed

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18

Valverde Cameselle, Roberto, and Hugo Gonzalez Labrador. "Addressing a billion-entries multi-petabyte distributed file system backup problem with cback: from files to objects." EPJ Web of Conferences 251 (2021): 02071. http://dx.doi.org/10.1051/epjconf/202125102071.

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CERNBox is the cloud collaboration hub at CERN. The service has more than 37,000 user accounts. The backup of user and project spaces data is critical for the service. The underlying storage system hosts over a billion files which amount to 12PB of storage distributed over thousands of disks with a tworeplica layout. Performing a backup operation over this vast amount of data and number of files is a non-trivial task. The original CERNBox backup system (an in-house event-driven file-level system) has been reconsidered and replaced by a new distributed and scalable backup infrastructure based o

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Mountantonakis, Michalis, and Yannis Tzitzikas. "LODsyndesis: Global Scale Knowledge Services." Heritage 1, no. 2 (2018): 335–48. http://dx.doi.org/10.3390/heritage1020023.

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In this paper, we present LODsyndesis, a suite of services over the datasets of the entire Linked Open Data Cloud, which offers fast, content-based dataset discovery and object co-reference. Emphasis is given on supporting scalable cross-dataset reasoning for finding all information about any entity and its provenance. Other tasks that can be benefited from these services are those related to the quality and veracity of data since the collection of all information about an entity, and the cross-dataset inference that is feasible, allows spotting the contradictions that exist, and also provides

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20

Guo, Rentong, Xiaofan Luan, Long Xiang, et al. "Manu." Proceedings of the VLDB Endowment 15, no. 12 (2022): 3548–61. http://dx.doi.org/10.14778/3554821.3554843.

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With the development of learning-based embedding models, embedding vectors are widely used for analyzing and searching unstructured data. As vector collections exceed billion-scale, fully managed and horizontally scalable vector databases are necessary. In the past three years, through interaction with our 1200+ industry users, we have sketched a vision for the features that next-generation vector databases should have, which include long-term evolvability, tunable consistency, good elasticity, and high performance. We present Manu, a cloud native vector database that implements these features

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Mazieri, Marcos Rogério, Isabel Cristina Scafuto, and Priscila Rezende Da Costa. "Tokenization, blockchain and web 3.0 technologies as research objects in innovation management." International Journal of Innovation 10, no. 1 (2022): 1–5. http://dx.doi.org/10.5585/iji.v10i1.21768.

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The e-mail allegedly attributed to Satoshi Nakamoto (supposedly a pseudonym) was transmitted 14 years ago, describing the development of an electronic currency (Nakamoto, 2008). The design of this electronic currency represented the solution of the general Byzantine problem, a well-known problem in computing, which, in general terms, defines that one of the parts of a system can intentionally fail, and with that, make the entire network unavailable. Therefore, the premise is that part of the system is corrupt (Dolev et al., 1982). In the few lines of the email, Satoshi Nakamoto described such

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Researcher. "AUTOMATING FINANCIAL SOLUTIONS: ENHANCING OPERATIONAL EFFICIENCY IN IOT BILLING SYSTEMS." September 28, 2024. https://doi.org/10.5281/zenodo.13853222.

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The Internet of Things (IoT) has ushered in a new era of connectivity, revolutionizing business operations across diverse industries. However, the proliferation of IoT devices and services has introduced unprecedented challenges in managing financial aspects, particularly in billing systems. This article explores the critical role of automating financial solutions for IoT billing systems in enhancing operational efficiency and addressing the complexities of modern IoT ecosystems. It delves into the limitations of traditional billing approaches and highlights the pressing need for automated sol

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Caparos, Edjay, Cedie Gabriel, Reginald Prudente, and Remia Romero. "Cloud Based Property Management System: Enhancing Real Estate Operation and Tenant Experience." International Journal of Innovative Science and Research Technology, May 27, 2025, 1782–91. https://doi.org/10.38124/ijisrt/25may851.

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This study presents the development and evaluation of a cloud-based property management system (PMS) designed to enhance operational efficiency, data security, and tenant satisfaction for real estate businesses in Region XII, Philippines. Using a descriptive research design and Likert-scale survey data from JC Hotel and Convention Center staff, the system was assessed across four dimensions: usability, security, operational efficiency, and tenant experience. Results showed consistent positive ratings, with security (mean = 3.50) as the highest-performing factor. Key system features include aut

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Shirsath, Vaishali, Pragati Patil, Manaswi Jadhav, Omkar Jadhav, Sanskruti Kokare, and Shreya Bokare. "Design and Development of Billing Module for DRM." International Journal of Innovative Science and Research Technology (IJISRT), May 14, 2024, 2529–37. http://dx.doi.org/10.38124/ijisrt/ijisrt24apr2068.

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The goal of the proposed project is to develop a billing system that is both scalable and adaptable to meet the specific needs of data replication services. Service providers will be able to accurately bill their clients using this billing module’s many capabilities, which include usage-based pricing, multi tiered billing structures, and real-time cost tracking. For the Billing Module, we will create an adaptable and expandable system architecture. varied storage technologies, including cloud based and on-premises solutions, as well as varied data replication techniques, including synchronous

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Vichare, Prithviraj, and Manisha Bharati. "Real-Time Automation of Cake Shop Operations Using PowerBI and AutomationEdge RPA: A Customer Behavior-Driven Approach." International Journal For Multidisciplinary Research 7, no. 3 (2025). https://doi.org/10.36948/ijfmr.2025.v07i03.49695.

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In this research, a comprehensive, low-code automation framework is presented, specifically designed to address the operational challenges faced by small-scale cake shops. The system combines Power BI for real-time data visualization, advanced demand forecasting models, and AutomationEdge’s Robotic Process Automation (RPA) capabilities to optimize critical business processes such as billing, inventory management, customer interaction, and feedback handling. A dataset of over 25,000 customer transactions recorded between 2020 and 2025 was analyzed to identify distinct buying behaviors. Based on

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Shraddha S. Diware, Sneha R. Dahapute, Megha R. Bhide, Laxmi C. Karale, and Dr. Leena K. Guatam. "A Review on Smart Healthcare Integration System for Optimizing OPD Queues." International Journal of Advanced Research in Science, Communication and Technology, April 14, 2025, 31–36. https://doi.org/10.48175/ijarsct-25206.

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Healthcare facilities experience growing patient volumes which produces overcrowding and extended delays and operational challenges in their Outpatient Departments. The Smart Healthcare Integration System for Optimizing OPD Queues implements an AI-based robust platform to enhance hospital workflows and improve patient satisfaction in response to these operational challenges. The project develops an intelligent solution which includes patient registration functions and real-time queue management and appointment scheduling and electronic health records (EHR) integration capabilities. The system

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-, Ashok Sreerangapuri. "Post-Quantum Cryptography for AI-Driven Cloud Security Solutions." International Journal For Multidisciplinary Research 6, no. 5 (2024). http://dx.doi.org/10.36948/ijfmr.2024.v06i05.29032.

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This article presents an innovative framework combining post-quantum cryptography with AI-driven automation to address the imminent threat quantum computing poses to current cloud security systems. With the global cloud computing market projected to reach $1,554.94 billion by 2030 and 94% of enterprises using cloud services, the need for quantum-resistant security solutions is critical. The proposed framework integrates lattice-based cryptography, hash-based signatures, and multivariate cryptography with AI-driven security automation to provide a scalable, adaptable, and future-proof security

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