JOURNAL ARTICLE

Leveraging Cloud Computing for Scalable Payment Processing

Balaji Soundararajan

Year: 2024 Journal:   Zenodo (CERN European Organization for Nuclear Research)   Publisher: European Organization for Nuclear Research

Abstract

The rapid evolution of cloud computing has presented transformative opportunities for scalable payment processing systems, addressing longstanding challenges in efficiency, security, and adaptability. Traditional payment infrastructures often struggle with scalability during peak demand, real-time transaction processing, and rising operational costs, while security concerns persist due to increasing cyber threats. We will evaluate the integration of cloud-based solutions to enhance payment systems, leveraging case studies such as Amazon Go and Unex Petrolhead to demonstrate practical applications. Key findings reveal that cloud computing offers dynamic scalability, cost efficiency through elastic resource allocation, and robust security frameworks compliant with industry standards like PCI DSS. We will see how cloud architectures enable faster deployment of innovative payment methods, streamline integrations via APIs, and support global transaction networks. Despite challenges such as data sovereignty and legacy system migration, the adoption of cloud technologies significantly improves transaction throughput, fault tolerance, and operational flexibility. The study concludes that cloud-based payment systems are pivotal for future-proofing financial infrastructures, balancing scalability with stringent security measures to meet evolving consumer and regulatory demands.

Keywords:
Cloud computing Scalability Payment Cloud computing security Transaction processing Software deployment Key (lock) Database transaction

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Topics

Cloud Data Security Solutions
Physical Sciences →  Computer Science →  Information Systems
Cloud Computing and Resource Management
Physical Sciences →  Computer Science →  Information Systems
Blockchain Technology Applications and Security
Physical Sciences →  Computer Science →  Information Systems

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