NORMA eResearch @NCI Library

Comparative analysis of AWS DataSync and Google Cloud Storage Transfer Service for cloud-to-cloud data transfer

Patel, Mihir (2024) Comparative analysis of AWS DataSync and Google Cloud Storage Transfer Service for cloud-to-cloud data transfer. Masters thesis, Dublin, National College of Ireland.

[thumbnail of Master of Science]
Preview
PDF (Master of Science)
Download (838kB) | Preview
[thumbnail of Configuration Manual]
Preview
PDF (Configuration Manual)
Download (761kB) | Preview

Abstract

Over the past few years, the term multi-cloud has caught the attraction of many organizations across the globe. Utilizing the various services from single cloud service provider leads to vendor lock-in problem for the organizations as they need to rely on single cloud service provider for their requirements. Various cloud service providers offers multiple features to their users, but single cloud service provider may or may not be suitable for unique and different requirements of the organizations. Due to this limitations organizations started leveraging the offerings from multiple cloud service providers according to their requirements. Though this approach significantly reduces the risk of vendor lock-in, but there are also challenges associated with this multi-cloud approach such as challenges associated with porting data between multiple clouds including efficient transfer methods, integrity and security issues etc. Over the time, researchers and organizations put efforts to mitigate these challenges. Various cloud service providers offers service for the data transfer from one cloud to another. This study aims to provide comparative analysis of the data transfer services of two market leading cloud service providers: AWS and Google. The factors to be considered for the comparative analysis are throughput, execution time, usability and cost of the transfer.

Item Type: Thesis (Masters)
Supervisors:
Name
Email
Siddig, Abubakr
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
Divisions: School of Computing > Master of Science in Cloud Computing
Depositing User: Ciara O'Brien
Date Deposited: 16 Jul 2025 10:00
Last Modified: 16 Jul 2025 10:00
URI: https://norma.ncirl.ie/id/eprint/8136

Actions (login required)

View Item View Item