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 and Ibrahim M. Umar
Additional contact information
Muhammad Aliyu: Federal Polytechnic, Bauchi, Nigeria
Murali M.: SRM Institute of Science and Technology, India
Abdulsalam Y. Gital: Abubakar Tafawa Balewa University, Bauchi, Nigeria
Souley Boukari: Abubakar Tafawa Balewa University, Bauchi, Nigeria
Rumana Kabir: Federal College of Education, Zuba, Nigeria
Maryam Abdullahi Musa: Abubakar Tafawa Balewa University, Bauchi, Nigeria
Fatima Umar Zambuk: Abubakar Tafawa Balewa University, Bauchi, Nigeria
Joshua Caleb Shawulu: Federal University Kashere, Bauchi, Nigeria
Ibrahim M. Umar: Abubakar Tafawa Balewa University, Bauchi, Nigeria

International Journal of Information Systems and Supply Chain Management (IJISSCM), 2021, vol. 14, issue 3, 1-17

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.

Date: 2021
References: Add references at CitEc
Citations: View citations in EconPapers (1)

Downloads: (external link)
http://services.igi-global.com/resolvedoi/resolve. ... 8/IJISSCM.2021070101 (application/pdf)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:igg:jisscm:v:14:y:2021:i:3:p:1-17

Access Statistics for this article

International Journal of Information Systems and Supply Chain Management (IJISSCM) is currently edited by John Wang

More articles in International Journal of Information Systems and Supply Chain Management (IJISSCM) from IGI Global
Bibliographic data for series maintained by Journal Editor ().