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Dubey, Vyom (2024) Fractional Knapsack Based Optimal Resource Allocation For Dynamic Cloud Environments. Masters thesis, Dublin, National College of Ireland.
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Abstract
With the growing popularity of cloud applications and cloud services, the cost of cloud resources are increasing as well. It is due to the drastic increase in the use of cloud resources by companies, individuals and governments. This leads to inefficient allocation of cloud resources which result in computation power wastage and increased latency. Traditional resource allocation algorithms are more focused towards minimizing time for the allocation of resources rather than allocating the best resource for the available virtual machine which increase inefficiency and may lead to under-utilization or over-utilization of resources. The proposed approach will reduce the inefficiency in the allocation of resources and provide the best optimal allocation solution thus benefitting both the cloud service providers as well as the consumers. The proposed algorithm focuses on allocating the best resource to the virtual machine by finding the best host for a virtual machine and also tune according to the dynamic cloud environment requirements in real-time. Using this approach the cost of cloud resources will be reduced which is beneficiary for both cloud service providers as well as consumers.
| Item Type: | Thesis (Masters) |
|---|---|
| Supervisors: | Name Email Deshmukh, Sudarshan UNSPECIFIED |
| Subjects: | Q Science > QA Mathematics > Electronic computers. Computer science T Technology > T Technology (General) > Information Technology > Electronic computers. Computer science T Technology > T Technology (General) > Information Technology > Cloud computing Q Science > QA Mathematics > Algebra > Algorithms > Computer algorithms |
| Divisions: | School of Computing > Master of Science in Cloud Computing |
| Depositing User: | Ciara O'Brien |
| Date Deposited: | 15 Jul 2025 08:34 |
| Last Modified: | 15 Jul 2025 08:34 |
| URI: | https://norma.ncirl.ie/id/eprint/8097 |
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