IDEAS home Printed from https://ideas.repec.org/a/igg/jisscm/v14y2021i3p1-17.html
   My bibliography  Save this article

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

Author

Listed:
  • 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)

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.

Suggested Citation

  • Muhammad Aliyu & Murali M. & Abdulsalam Y. Gital & Souley Boukari & Rumana Kabir & Maryam Abdullahi Musa & Fatima Umar Zambuk & Joshua Caleb Shawulu & Ibrahim M. Umar, 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," International Journal of Information Systems and Supply Chain Management (IJISSCM), IGI Global, vol. 14(3), pages 1-17, July.
  • Handle: RePEc:igg:jisscm:v:14:y:2021:i:3:p:1-17
    as

    Download full text from publisher

    File URL: http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/IJISSCM.2021070101
    Download Restriction: no
    ---><---

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Toto Haksoro & Aulia Siti Aisjah & Sreerakuvandana & Mosiur Rahaman & Totok Ruki Biyanto, 2023. "Enhancing Techno Economic Efficiency of FTC Distillation Using Cloud-Based Stochastic Algorithm," International Journal of Cloud Applications and Computing (IJCAC), IGI Global, vol. 13(1), pages 1-16, January.

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:igg:jisscm:v:14:y:2021:i:3:p:1-17. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Journal Editor (email available below). General contact details of provider: https://www.igi-global.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.