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Krisnamoorthy, Sathish Kumar (2022) Enhance Cloud Storage upload latency with Mobile Edge Computing and achieve SLA transparency with Hybrid-Blockchain. Masters thesis, Dublin, National College of Ireland.
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Abstract
Cloud computing has become the primary storage area, not only for information technology but also for individual use. In the Age of Data, the production of data is tremendous; it is important to securely persist and transmit this data efficiently. The latency is high if the transferred file size is enormous or the transfer distance is significant. In this research, using Mobile Edge computing, an attempt is made to reduce the propagation, processing, and queuing delays. The Service Level Agreement (SLA) of the proposed system is achieved through Blockchain technology. This research will use a live dataset obtained from the Amazon open data source, which contains mobile devices’ network and location details, to prove the hypothesis, and the dataset contains data about 300 million devices. This dataset is preprocessed using a python script that will map them to the GeoPandas library and generate random global coordinates and their closest peer edge devices. These random coordinates were generated and were subjected to the countries’ boundaries. According to the dataset, India, the USA, and China were chosen for evaluation because they were the top 3 countries with the maximum number of participating devices. This preprocessed result is passed to a Python simulator that calculates the latency improvement of this system. The results of this methodology show that compared to a datacenter located 250 KM away from a specific point, the proposed system will be faster by 107.86%, 1847.60%, 18,289.91%, 36007.63%. for transferring 1 GB, 10 GB, 100 GB, and 200 GB of data.
| 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: | 07 Dec 2022 16:00 |
| Last Modified: | 07 Dec 2022 16:00 |
| URI: | https://norma.ncirl.ie/id/eprint/5974 |
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