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Chaudhari, Bhushan Yashwant (2023) A Cost-Effective And Practical Solution For AWS Resources Management With Usage Visualization. Masters thesis, Dublin, National College of Ireland.
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Abstract
Cloud computing is a revolutionary paradigm that enables users to access and utilize a vast array of computing resources and services over the internet. Instead of relying on locally installed hardware and software, cloud computing allows individuals and organizations to access data storage, applications, and processing power through remote servers hosted by third-party providers. Users don’t have to own and manage physical hardware and software, cloud computing offers a pay-as-you-go model, (Ibrahimi, 2017 ) allowing organizations to scale resources dynamically based on demand. Amazon Web Services (AWS) is one of the leading cloud computing service providers, offering a vast array of cloud-based solutions and services .With AWS's pay-as-you-go pricing model, users can avoid upfront infrastructure costs and only pay for the resources they consume. While cloud computing eliminates upfront hardware expenses, the recurring subscription costs for cloud services can add up over time. Organizations may unknowingly accrue additional costs due to idle or underutilized resources in the cloud. The pay-as-you-go model means that resources left running without being actively used can lead to wasted expenditure.
This abstract presents a comprehensive analysis of the factors contributing to cost effectiveness in cloud computing, highlighting the key strategies and best practices that can be implemented to optimize resource allocation and expenditure. In this study, we'll review and put into practice a system that suggests allocating and de-allocating resources in accordance with usage. The system is capable of offering a single dashboard for controlling all of the accounts in an AWS account as well as all of the resources allotted inside those accounts.
| Item Type: | Thesis (Masters) |
|---|---|
| Supervisors: | Name Email Gupta, Punit UNSPECIFIED |
| Uncontrolled Keywords: | Amazon Web services (AWS); Cloud Watch; Cost Optimization; Resource Allocation; Server; Central dashboard; Time Zone |
| 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 > Electronic computers. Computer science > Computer Systems > Information Storage and Retrieval Systems T Technology > T Technology (General) > Information Technology > Electronic computers. Computer science > Computer Systems > Information Storage and Retrieval Systems |
| Divisions: | School of Computing > Master of Science in Cloud Computing |
| Depositing User: | Tamara Malone |
| Date Deposited: | 10 Aug 2024 13:55 |
| Last Modified: | 10 Aug 2024 13:55 |
| URI: | https://norma.ncirl.ie/id/eprint/7046 |
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