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A Multi-Tier Architecture for the Management of Supply Chain of Cloud Resources in a Virtualized Cloud Environment: A Novel SCM Technique for Cloud Resources Using Ant Colony Optimization and Spanning Tree

A Multi-Tier Architecture for the Management of Supply Chain of Cloud Resources in a Virtualized Cloud Environment: A Novel SCM Technique for Cloud Resources Using Ant Colony Optimization and Spanning Tree

Muhammad Aliyu, Murali M., Abdulsalam Y. Gital, Souley Boukari, Rumana Kabir, Maryam Abdullahi Musa, Fatima Umar Zambuk, Joshua Caleb Shawulu, Ibrahim M. Umar
Copyright: © 2021 |Volume: 14 |Issue: 3 |Pages: 17
ISSN: 1935-5726|EISSN: 1935-5734|EISBN13: 9781799859925|DOI: 10.4018/IJISSCM.2021070101
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MLA

Aliyu, Muhammad, et al. "A Multi-Tier Architecture for the Management of Supply Chain of Cloud Resources in a Virtualized Cloud Environment: A Novel SCM Technique for Cloud Resources Using Ant Colony Optimization and Spanning Tree." IJISSCM vol.14, no.3 2021: pp.1-17. http://doi.org/10.4018/IJISSCM.2021070101

APA

Aliyu, M., Murali M., Gital, A. Y., Boukari, S., Kabir, R., Musa, M. A., Zambuk, F. U., Shawulu, J. C., & Umar, I. M. (2021). A Multi-Tier Architecture for the Management of Supply Chain of Cloud Resources in a Virtualized Cloud Environment: A Novel SCM Technique for Cloud Resources Using Ant Colony Optimization and Spanning Tree. International Journal of Information Systems and Supply Chain Management (IJISSCM), 14(3), 1-17. http://doi.org/10.4018/IJISSCM.2021070101

Chicago

Aliyu, Muhammad, et al. "A Multi-Tier Architecture for the Management of Supply Chain of Cloud Resources in a Virtualized Cloud Environment: A Novel SCM Technique for Cloud Resources Using Ant Colony Optimization and Spanning Tree," International Journal of Information Systems and Supply Chain Management (IJISSCM) 14, no.3: 1-17. http://doi.org/10.4018/IJISSCM.2021070101

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Abstract

As cloud resource demand grows, supply chain management (SCM), which is the core function of cloud computing, faces serious challenges. Quite a number of techniques have been proposed by many researchers for such a challenge. As such, numerous proposed strategies are still under reckoning and modification so as to enhance its potential. An optimized dynamic scheme that combined several algorithms' characteristics was proposed to map out such a challenge. The hybridized proposed scheme involved the meta-heuristic swarm mechanism of ant colony optimization (ACO) and deterministic spanning tree (SPT) algorithm as it obtained faster convergence chain, ensured resource utilization in least time and cost. Extensive experiments conducted in cloudsim simulator provided an efficient result in terms of minimized makespan time and throughput as compared to SPT, round robin (RR), and pre-emptive fair scheduling algorithm (PFSA) as it significantly improves performance.

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