DSpace Repository

Best Fit Cloud Computing Solution for Bangladeshi Startups and Businesses Using Machine Learning Approach.

Show simple item record

dc.contributor.author Fariduzzaman, MD
dc.date.accessioned 2023-08-27T12:00:44Z
dc.date.available 2023-08-27T12:00:44Z
dc.date.issued 23-07-25
dc.identifier.uri http://dspace.daffodilvarsity.edu.bd:8080/handle/123456789/11048
dc.description.abstract This research study aims to identify the most suitable cloud computing service for Bangladeshi startups and growing online businesses. Bangladesh's digital economy fast expansion has given rise to many startups and online businesses over all the digital economy, generating demand for dependable and cost-effective cloud computing services. This research aims to find the best suitable cloud computing solution for Bangladeshi startups and online enterprises through a comprehensive survey and the use of machine learning techniques for competitive and predictive analysis. The study questionnaire focuses on aspects critical to the success of these firms, such as price, scalability, performance, security, customer support services, and also a limitation of the old system. The following study will provide significant insights into the present level of cloud computing usage in Bangladesh and advice for startups and existing online businesses looking for the best cloud services to match their individual needs. we are collecting data from 1000+ local Startups and online companies and interviewing 50+ individual tech entrepreneurs. Based on the study, we are doing a machine learning competitive and predictive analysis. We used our collected data and based different parameters in the visual data and competitive analysis. Then we find the best-fit cloud computing service model type from IaSS, PaaS, SaaS, FaaS, and Hybride. In this analysis, find the best cloud computing model is the Hybrid approach (A combination of PaaS & FaaS). This hybrid approach to cloud computing best fits Bangladeshi startups and online businesses based on survey data. After that, We are doing predictive & competitive analysis on machine learning based on our collected data. In this analysis, we are trying to find the market's best hybrid approach cloud computing service provider. Based on the different parameters. Cloud computing services is cost-effective, secure, migration, payment method, developer community, and service eco-system and are easy to migrate, has the best performance, and are accessible to payment methods for startups and online businesses. We list the top 5 market players like AWS, GCP, Azure, IBL Cloud, and Alibaba Cloud. This study recommends the best-fit cloud computing service AWS for Bangladeshi startups and online businesses. In this research, a limitation we are trying to recommend based on present-time data and technology. FaaS and PaaS models have some limitations, but if the business has proper guidelines and architecture, then it will work fine. If technology comes and the ecosystem changes, this recommendation will change. This study helps Bangladeshi tech startups & online businesses reach their business next level and overall help the digital economy of Bangladesh. en_US
dc.language.iso en_US en_US
dc.publisher Daffodil International University en_US
dc.subject Machine learning en_US
dc.subject Business en_US
dc.subject Business strategy en_US
dc.subject Cloud Computing en_US
dc.subject Online Businesses en_US
dc.title Best Fit Cloud Computing Solution for Bangladeshi Startups and Businesses Using Machine Learning Approach. en_US
dc.type Other en_US


Files in this item

This item appears in the following Collection(s)

Show simple item record

Search DSpace


Browse

My Account

Statistics