| Author Name | Affiliation | Postcode | | N Sureshbabu* | Department of Computer Science, Rajah Serfoji Government College, Thanjavur 613005, Tamilnadu, India | 613005 | | R Pragaladan | Department of Computer Science, Sri Vasavi College, Erode 638316 Tamilnadu, India | | | T Kannadasan | Department of Computer Science, Thanthai Periyar Government Arts and Science College (Autonomous) , Thiruchirappalli 620023, Tamilnadu, India | |
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| Abstract: |
| Abstract: The data centre’s energy-efficient and safe distribution of virtual machines is crucial to enable cloud users to profit from flexible and cost-effective computing. Due to the exponential growth in demand for cloud services, many physical servers have been deployed, leading to excessive energy consumption and inefficient use of resources. Optimizing resource use and reducing power usage have emerged as critical issues in any data centre. Cloud service providers use VM allocation strategies to maximize the utilization of distributed physical resources in the cloud. This paper proposes secure and energy-efficient Multi-factor-based Resource Allocation (MFRA) in the cloud. By maximizing resource use, the suggested framework guarantees an energy-efficient distribution of physical resources across virtual machines and prioritizes the safe and prompt execution of user applications. The suggested work has been implemented into practice using the CloudSim simulation tool kit, and a comparison with other well-known virtual machine allocation strategies in the cloud computing industry is done to verify the algorithm’s viability. According to the experimental simulation results, the suggested VM allocation policy outperformed existing VM allocation techniques. |
| Key words: resource allocation cloud computing secure allocation energy efficient |
| DOI：10.11916/j.issn.1005-9113.2024019 |
| Clc Number:TP393, TP18 |
| Fund: |
