Shodh Sari-An International Multidisciplinary Journal
Vol-04, Issue-02 (Apr-Jun 2025)
An International scholarly/ academic journal, peer-reviewed/ refereed journal, ISSN : 2959-1376
Cloud Computing and Distributed Systems: The Next Wave of Computing
Deepak
Assistant Professor, Department of Computer Science, NIILM University, Kaithal, Haryana
DOI: https://doi.org/10.59231/SARI7831
Subject: Computer Science / Information Technology
Page No: 397–406
Received: March 02, 2025
Accepted: March 27, 2025
Published: April 01, 2025
Thematic Classification: Cloud Computing, Distributed Systems, Parallel Computing, Virtualization, Scalable Infrastructure, Next-Generation Computing.
Abstract
Cloud computing and distributed systems are reshaping the digital world by providing scalable, flexible, and cost-efficient computational resources. This paper explores the convergence of these technologies and how they form the foundation of modern computing paradigms. The integration of cloud platforms with distributed computing architectures is enabling unprecedented levels of performance, agility, and innovation across diverse industries. From healthcare to finance, businesses are leveraging the combined strengths of these technologies to achieve operational excellence, improve user experiences, and develop cutting-edge services. Additionally, this paper presents a detailed literature review, outlines a qualitative methodology involving case studies and metric evaluations, and discusses key findings that demonstrate the effectiveness and limitations of these systems. The results highlight not only the transformative impact of cloud and distributed systems but also the ongoing challenges related to data security, interoperability, and latency.
Keywords: Scalability, Cloud Computing, Latency, Hybrid Cloud, Edge Computing
Impact Statement
Cloud computing and distributed systems have catalyzed a transformative shift in the way computational resources are accessed, managed, and scaled. As we enter the next wave of computing, these paradigms are reshaping the technological landscape by enabling unprecedented levels of flexibility, scalability, and collaboration across industries.
Cloud computing offers on-demand access to a shared pool of configurable computing resources, reducing the need for organizations to invest in costly infrastructure. This has democratized access to powerful computing capabilities, fostering innovation in fields such as artificial intelligence, data analytics, and software development. Startups and enterprises alike can now deploy and scale applications globally with minimal upfront investment, accelerating time to market and fostering digital transformation.
Distributed systems, on the other hand, have become the backbone of cloud architecture. They ensure fault tolerance, high availability, and horizontal scalability. These systems enable large-scale processing of data across geographically dispersed nodes, supporting real-time analytics, edge computing, and the Internet of Things (IoT). As computational tasks become more data-intensive and decentralized, distributed systems offer a resilient framework to meet the growing demand for processing power and data locality.
Together, cloud computing and distributed systems are enabling the development of next-generation applications that are intelligent, resilient, and globally accessible. The convergence of these technologies is also driving new economic models such as serverless computing, function-as-a-service (FaaS), and edge-cloud hybrid systems, which are redefining how services are built and delivered.
In the coming years, the impact of these technologies will extend further into sectors like healthcare, education, finance, and public services—powering solutions that are smarter, more adaptive, and deeply integrated into our daily lives. From enhancing global collaboration to enabling breakthroughs in scientific research, the next wave of computing is not just about speed and efficiency—it is about unlocking human potential through ubiquitous and intelligent digital infrastructure.
About The Author
Dr Deepak is working as Assistant Professor, Department of Computer Science, NIILM University Kaithal Haryana, with extensive experience in teaching, and research. His areas of interest are cloud computing, IoT, and Machine Learning. He has participated in and presented research articles at various National and International conferences.
Cite this Article
APA 7th Style
Deepak. (2025). Cloud computing and distributed systems: The next wave of computing. Shodh Sari-An International Multidisciplinary Journal, 4(02), 397–406. https://doi.org/10.59231/SARI7831
Chicago 17th Style
Deepak. “Cloud Computing and Distributed Systems: The Next Wave of Computing.” Shodh Sari-An International Multidisciplinary Journal 4, no. 2 (2025): 397–406. https://doi.org/10.59231/SARI7831.
MLA 9th Style
Deepak. “Cloud Computing and Distributed Systems: The Next Wave of Computing.” Shodh Sari-An International Multidisciplinary Journal, vol. 4, no. 2, 2025, pp. 397-406, https://doi.org/10.59231/SARI7831.
Statements & Declarations
Review Method: This article underwent a double-blind peer-review process by two independent external experts in Distributed Computing and Network Architecture to ensure the technical accuracy of the scalability models and the validity of the cloud infrastructure analysis.
Competing Interests: The author (Deepak) declares that there are no financial, personal, or professional conflicts of interest that could have inappropriately influenced the research findings or the technological assessments presented in this study.
Funding: This research was conducted as part of the author’s academic and professional activities at NIILM University, Kaithal. No specific external grants or commercial funding were received for this work.
Data Availability: The study is based on a technical review of cloud service models (IaaS, PaaS, SaaS), distributed consensus protocols, and virtualization technologies. All primary technical standards and secondary literature cited are available through public computer science archives and institutional repositories.
License: Cloud Computing and Distributed Systems: The Next Wave of Computing © 2025 by Deepak is licensed under CC BY-NC-ND 4.0. This work is published by the International Council for Education Research and Training (ICERT).
Ethics Approval: As this study is a theoretical and technical review of computing systems and does not involve direct experimentation on human participants or animals, it was deemed exempt from formal ethical review by the Institutional Research Committee of NIILM University.
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