Journal of Data Science and Information Technology https://jdit.sciforce.org/JDIT <p>Shaping the Future with Data: Journal of Data Science and Information Technology (JDIT) by Sciforce Publications</p> <p>Enter the world of data-driven innovation and information technology with the Journal of Data Science and Information Technology (JDIT), a distinguished publication by Sciforce Publications. JDIT serves as a beacon for the latest research and innovations in the fields of data science, information technology, and the digital transformation of industries. In this web content, we will explore the significance of JDIT, its contributions to the scientific community, and the dynamic realm of data science and information technology.</p> en-US editor@sciforce.net (Dr. Suryakiran Navath, Ph. D.,) editor@sciforce.net (Srinivas G) Wed, 15 Jan 2025 06:55:27 +0000 OJS 3.2.1.4 http://blogs.law.harvard.edu/tech/rss 60 Cloud Computing Environment Optimization: A Comprehensive COPRAS Methodology Approach https://jdit.sciforce.org/JDIT/article/view/242 <p>Cloud computing has emerged as a transformative technology, offering diverse service models to meet varying organizational needs. This study employs the Complex Proportional Assessment (COPRAS) method to comprehensively evaluate and analyze different cloud environments, providing a nuanced approach to cloud service selection. The research investigates five distinct cloud environment types: general-purpose, service-centric, zone-centric, distance-centric, and cost-centric, examining their performance across critical parameters including quality of service, number of available services, availability zones, consumer distance, and hourly cost.</p> <p>The multi-criteria analysis reveals significant variations in cloud environment effectiveness. Zone-centric environments emerged as the top performer, achieving a remarkable quality index of 0.291 and a 100% usability degree. Service-centric environments followed closely, demonstrating a 92.03% usability degree and highlighting the importance of service availability. General-purpose environments showed moderate performance with a 63.97% usability degree, indicating their versatility. Conversely, distance-centric and cost-centric environments exhibited the lowest performance, suggesting limitations in meeting comprehensive organizational requirements.</p> <p>Key findings underscore that cloud computing is not a one-size-fits-all solution but a complex ecosystem requiring strategic selection. The research emphasizes that while cost is important, it should not be the sole determining factor in cloud environment selection. The study provides a robust framework for decision-makers, enabling them to align cloud infrastructure choices with specific organizational objectives. The methodology offers critical insights into the evolving cloud computing landscape, addressing the growing complexity of data management and the increasing demand for scalable, secure computing solutions. By presenting a comprehensive evaluation approach, the research contributes to a more sophisticated understanding of cloud environment selection, encouraging organizations to adopt a strategic, multi-dimensional approach to cloud infrastructure deployment.</p> Janaki Ram Kiran Gummaluri Copyright (c) 2025 Journal of Data Science and Information Technology https://jdit.sciforce.org/JDIT/article/view/242 Mon, 13 Jan 2025 00:00:00 +0000