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Vispute, Nileshwari Chandrakant (2022) Cloudlet caching algorithm to improve quality of experience for users in vehicular edge computing. Masters thesis, Dublin, National College of Ireland.
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Abstract
Cloud computing has witnessed tremendous growth over the past few years due to its capacity to provide customers and organizations with mighty computational power for data processing and analysis in their data centers at reasonable prices. However, owing to the lack of cloud data centers worldwide, accessing faraway clouds results in increased response latency, hence reducing the efficiency of cloud computing. As a result, it may be able to provide users with robust computation resources and low turnaround time due to its location at the edge.However, because a cloudlet is a mini-scale cloud, it must choose which data should be cached in its data center. This project intends to provide cloudlet information caching.Utilizing k-means clustering, the technique identifies the diverse usage patterns and the most popularly requested content to cache.The selection rule is then utilized to get potentially accessible data. This method was tested on AWS lambda edge. The findings indicate that, compared to existing caching strategies, the proposed method boosts the cloudlet content cache hit ratio and reduces response latency.The recommended technique has already been deployed on AWS lambda edge. Therefore, this post will attempt to develop it utilizing the cost-efficient and potentially more effective open-source platform OpenStack.
| Item Type: | Thesis (Masters) |
|---|---|
| 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 |
| Divisions: | School of Computing > Master of Science in Cloud Computing |
| Depositing User: | Tamara Malone |
| Date Deposited: | 08 Dec 2022 09:40 |
| Last Modified: | 08 Dec 2022 09:40 |
| URI: | https://norma.ncirl.ie/id/eprint/5980 |
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