Topological Evaluation of Cloud Computing Networks and Real-Time Scenario-Based Effective Usage

Dr. Khalid Hamid, Ahmad Raza, Madiha Maqbool Chaudhry, Hafiz Abdul Basit Muhammad, Sadia Watara, Muhammad Waseem Iqbal Iqbal and Zaeem Nazir
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Dr. Khalid Hamid: Department of Computer Science, Superior University Lahore-54000, Pakistan
Ahmad Raza: Department of Software Engineering, University of Engineering and Technology Lahore, Pakistan
Madiha Maqbool Chaudhry: FAST National University of Computer and Emerging Sciences, Islamabad, Pakistan
Hafiz Abdul Basit Muhammad: Department of Computer Science, Superior University Lahore-54000, Pakista
Sadia Watara: Department of Computer & Mathematical Sciences, New Mexico Highlands University Las Vegas, USA
Muhammad Waseem Iqbal Iqbal: Department of Software Engineering, Superior University Lahore-54000, Pakistan
Zaeem Nazir: Department of Computer Science, Superior University Lahore-54000, Pakistan

Bulletin of Business and Economics (BBE), 2024, vol. 13, issue 2, 80-92

Abstract: Cloud technology provides computing services over the internet, enabling entrepreneurs to access tools and services previously only available to large organizations, enhancing efficiency, business scaling, and competitiveness. With a step-by-step practical performance, the study builds real-time clouds using several lab scenarios. The research offers recommendations for cloud computing networks' performance, security, and awareness in this way. The study investigates and improves cloud computing networks in IoT and other network architectures using cheminformatics, a combination of chemistry, computer, and mathematics. It computes topological invariants, such as K-banhatti sombor (KBSO) invariants (KBSO), Dharwad Invariants, K-banhatti Redefined Zagreb (KBRZ), their different forms, and Quadratic-contra harmonic invariants (QCI), to explore and enhance their characteristics like scalability, efficiency, higher throughput, reduced latency, and best-fit topology. The main objective is to develop formulas to check the topology, and performance of certain cloud networks without experiments and produce mathematical modeling results with graphical results. It also gives the optimized ranges of the network with one optimized value. After these evaluations, the network graph also checks for irregularities if exist with the help of the Irregularity Sombor (ISO) index. The study also produced real-time scenario-based clouds and performance-based use. The results will help researchers construct and improve these networks with different physical characteristics.

Keywords: Cloud Network; real-time clouds; topological evaluation; scalability; performance (search for similar items in EconPapers)
Date: 2024
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Persistent link: https://EconPapers.repec.org/RePEc:rfh:bbejor:v:13:y:2024:i:2:p:80-92

DOI: 10.61506/01.00301

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