<abstract xmlns="http://www.w3.org/1999/xhtml">

<p>This paper explores the design and implementation of a cognitive assistant powered by cloud computing. We begin by reviewing existing cloud service providers and assistant solutions. Building on this foundation, we define a set of requirements for our cognitive assistant and utilize them to guide the development process. To validate the functionality of our creation, we compare its outputs with established reference architectures.</p>
</abstract>

This paper explores the design and implementation of a cognitive assistant powered by cloud computing. We begin by reviewing existing cloud service providers and assistant solutions. Building on this foundation, we define a set of requirements for our cognitive assistant and utilize them to guide the development process. To validate the functionality of our creation, we compare its outputs with established reference architectures.

Development and Implementation of a Cognitive Cloud Assistant for Optimal Cloud Service Provider Selection

Department of Computers and Informatics, Faculty of Electrical Engineering and Informatics

Acta Electrotechnica et Informatica

This work is licensed under the Creative Commons Attribution 4.0 International License.

This paper explores the design and implementation of a cognitive assistant powered by cloud computing. We begin by reviewing existing cloud service providers...

Development and Implementation of a Cognitive Cloud Assistant for Optimal Cloud Service Provider Selection

Published Online: Jul 15, 2024

Page range: 19 - 24

Received: Jun 24, 2024

Accepted: Jul 08, 2024

DOI: https://doi.org/10.2478/aei-2024-0007

Keywords
AWS, cloud, cloud assistant, Microsoft Azure, reference architectures

© 2024 Dávid Vaľko et al., published by Sciendo

This work is licensed under the Creative Commons Attribution 4.0 International License.

Development and Implementation of a Cognitive Cloud Assistant for Optimal Cloud Service Provider Selection

Published Online: Jul 15, 2024

Page range: 19 - 24

Received: Jun 24, 2024

Accepted: Jul 08, 2024

DOI: https://doi.org/10.2478/aei-2024-0007

KeywordsAWS, cloud, cloud assistant, Microsoft Azure, reference architectures

© 2024 Dávid Vaľko et al., published by Sciendo

This work is licensed under the Creative Commons Attribution 4.0 International License.

Keywords
AWS, cloud, cloud assistant, Microsoft Azure, reference architectures