Network-, Cost-, and Renewable-Aware Ant Colony Optimization for Energy-Efficient Virtual Machine Placement in Cloud Datacenters
Virtual machine (VM) placement in cloud datacenters is a complex multi-objective challenge involving trade-offs among energy efficiency, carbon emissions, and network performance. This paper proposes NCRA-DP-ACO (Network-, Cost-, and Renewable-Aware Ant Colony Optimization with Dynamic Power Usage E...
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MDPI AG
2025-06-01
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| Series: | Future Internet |
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| Online Access: | https://www.mdpi.com/1999-5903/17/6/261 |
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| author | Ali Mohammad Baydoun Ahmed Sherif Zekri |
| author_facet | Ali Mohammad Baydoun Ahmed Sherif Zekri |
| author_sort | Ali Mohammad Baydoun |
| collection | DOAJ |
| description | Virtual machine (VM) placement in cloud datacenters is a complex multi-objective challenge involving trade-offs among energy efficiency, carbon emissions, and network performance. This paper proposes NCRA-DP-ACO (Network-, Cost-, and Renewable-Aware Ant Colony Optimization with Dynamic Power Usage Effectiveness (PUE)), a bio-inspired metaheuristic that optimizes VM placement across geographically distributed datacenters. The approach integrates real-time solar energy availability, dynamic PUE modeling, and multi-criteria decision-making to enable environmentally and cost-efficient resource allocation. The experimental results show that NCRA-DP-ACO reduces power consumption by 13.7%, carbon emissions by 6.9%, and live VM migrations by 48.2% compared to state-of-the-art methods while maintaining Service Level Agreement (SLA) compliance. These results indicate the algorithm’s potential to support more environmentally and cost-efficient cloud management across dynamic infrastructure scenarios. |
| format | Article |
| id | doaj-art-98e341bdeb734633bcc3c04d63249b15 |
| institution | Kabale University |
| issn | 1999-5903 |
| language | English |
| publishDate | 2025-06-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Future Internet |
| spelling | doaj-art-98e341bdeb734633bcc3c04d63249b152025-08-20T03:27:29ZengMDPI AGFuture Internet1999-59032025-06-0117626110.3390/fi17060261Network-, Cost-, and Renewable-Aware Ant Colony Optimization for Energy-Efficient Virtual Machine Placement in Cloud DatacentersAli Mohammad Baydoun0Ahmed Sherif Zekri1Department of Mathematics & Computer Science, Beirut Arab University, Beirut 1107, LebanonDepartment of Mathematics & Computer Science, Alexandria University, Alexandria 21526, EgyptVirtual machine (VM) placement in cloud datacenters is a complex multi-objective challenge involving trade-offs among energy efficiency, carbon emissions, and network performance. This paper proposes NCRA-DP-ACO (Network-, Cost-, and Renewable-Aware Ant Colony Optimization with Dynamic Power Usage Effectiveness (PUE)), a bio-inspired metaheuristic that optimizes VM placement across geographically distributed datacenters. The approach integrates real-time solar energy availability, dynamic PUE modeling, and multi-criteria decision-making to enable environmentally and cost-efficient resource allocation. The experimental results show that NCRA-DP-ACO reduces power consumption by 13.7%, carbon emissions by 6.9%, and live VM migrations by 48.2% compared to state-of-the-art methods while maintaining Service Level Agreement (SLA) compliance. These results indicate the algorithm’s potential to support more environmentally and cost-efficient cloud management across dynamic infrastructure scenarios.https://www.mdpi.com/1999-5903/17/6/261cloud computingVM placementnetwork-awareAnt Colony Optimization |
| spellingShingle | Ali Mohammad Baydoun Ahmed Sherif Zekri Network-, Cost-, and Renewable-Aware Ant Colony Optimization for Energy-Efficient Virtual Machine Placement in Cloud Datacenters Future Internet cloud computing VM placement network-aware Ant Colony Optimization |
| title | Network-, Cost-, and Renewable-Aware Ant Colony Optimization for Energy-Efficient Virtual Machine Placement in Cloud Datacenters |
| title_full | Network-, Cost-, and Renewable-Aware Ant Colony Optimization for Energy-Efficient Virtual Machine Placement in Cloud Datacenters |
| title_fullStr | Network-, Cost-, and Renewable-Aware Ant Colony Optimization for Energy-Efficient Virtual Machine Placement in Cloud Datacenters |
| title_full_unstemmed | Network-, Cost-, and Renewable-Aware Ant Colony Optimization for Energy-Efficient Virtual Machine Placement in Cloud Datacenters |
| title_short | Network-, Cost-, and Renewable-Aware Ant Colony Optimization for Energy-Efficient Virtual Machine Placement in Cloud Datacenters |
| title_sort | network cost and renewable aware ant colony optimization for energy efficient virtual machine placement in cloud datacenters |
| topic | cloud computing VM placement network-aware Ant Colony Optimization |
| url | https://www.mdpi.com/1999-5903/17/6/261 |
| work_keys_str_mv | AT alimohammadbaydoun networkcostandrenewableawareantcolonyoptimizationforenergyefficientvirtualmachineplacementinclouddatacenters AT ahmedsherifzekri networkcostandrenewableawareantcolonyoptimizationforenergyefficientvirtualmachineplacementinclouddatacenters |