Cloud computing : migrating to the cloud, Amazon Web Services and Google Cloud Platform
Quadri, Samsideen (2017-03-14)
S. Quadri
14.03.2017
© 2017 Samsideen Quadri. Tämä Kohde on tekijänoikeuden ja/tai lähioikeuksien suojaama. Voit käyttää Kohdetta käyttöösi sovellettavan tekijänoikeutta ja lähioikeuksia koskevan lainsäädännön sallimilla tavoilla. Muunlaista käyttöä varten tarvitset oikeudenhaltijoiden luvan.
Julkaisun pysyvä osoite on
https://urn.fi/URN:NBN:fi:oulu-201703151365
https://urn.fi/URN:NBN:fi:oulu-201703151365
Tiivistelmä
Cloud computing provides great benefits and challenges for small, medium, and large organisations. Whether it is a financial, technology, or engineering sector any company may find a useful cloud component for the organisation’s needs. Though with its benefits come many challenges, experts believe that cloud computing advantages outweigh the disadvantages. With more research in the area of cloud computing, the challenges will be dealt with.
Amazon and Google are the prominent cloud services providers with different components and services that are evolving. However, there are many other cloud vendors and this makes it difficult for potential cloud users to migrate or choose a suitable vendor from the numerous available ones.
This thesis, using design science approach describes the implementation of cloud computing by different cloud providers, i.e., examines and demonstrates how Amazon and Google implemented and structured their cloud infrastructure. Also, it provides the criteria for accessing the suitability of a business or organisation for choosing a cloud provider. In addition, a web application hosted on both AWS and GCP platforms is developed in order to demonstrate the workability of the framework and guideline for selecting a cloud provider. The application is called KlaudCelet. KlaudCelet is a recommender system that is developed based on previous research on cloud deployment frameworks and proposed model (CPSM; Cloud Provider Selection Model). The recommendation by the system is reliable because it is based on research results. KlaudCelet recommends a deployment model, a cloud service provider, and a decision either to migrate or not. CPSM was not used in KlaudCelet but the model by Keung & Kwok and Misra & Mondal were used.
The guideline developed was used to create a recommender framework. The need for solving this problem was shown by conducting a review of previous research and a small-scale survey among IT experts. The survey found that IT experts are optimistic about cloud computing adoption despite its challenges such as security, privacy and leaning curve. The decision to migrate to the cloud must take into consideration the organisation’s state and culture, cloud deployment model, and choosing a suitable cloud service provider.
Amazon and Google are the prominent cloud services providers with different components and services that are evolving. However, there are many other cloud vendors and this makes it difficult for potential cloud users to migrate or choose a suitable vendor from the numerous available ones.
This thesis, using design science approach describes the implementation of cloud computing by different cloud providers, i.e., examines and demonstrates how Amazon and Google implemented and structured their cloud infrastructure. Also, it provides the criteria for accessing the suitability of a business or organisation for choosing a cloud provider. In addition, a web application hosted on both AWS and GCP platforms is developed in order to demonstrate the workability of the framework and guideline for selecting a cloud provider. The application is called KlaudCelet. KlaudCelet is a recommender system that is developed based on previous research on cloud deployment frameworks and proposed model (CPSM; Cloud Provider Selection Model). The recommendation by the system is reliable because it is based on research results. KlaudCelet recommends a deployment model, a cloud service provider, and a decision either to migrate or not. CPSM was not used in KlaudCelet but the model by Keung & Kwok and Misra & Mondal were used.
The guideline developed was used to create a recommender framework. The need for solving this problem was shown by conducting a review of previous research and a small-scale survey among IT experts. The survey found that IT experts are optimistic about cloud computing adoption despite its challenges such as security, privacy and leaning curve. The decision to migrate to the cloud must take into consideration the organisation’s state and culture, cloud deployment model, and choosing a suitable cloud service provider.
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