Autors: Ivanova, D. A., Borovska, P. I., S. Zahov. Title: Development of PaaS using AWS and Terraform for medical imaging analytics Keywords: Cloud, PaaS, AWS, Terraform, Medical Imaging Analytics Abstract: This paper presents the concept and the modern advances in architecture, models and services in cloud. The goal of the paper is the development of cloud architecture and to show how an absolutely secure, fast and powerful cloud computing environment can be built in an easy and economical way to serve as an end product. For this purpose, it will be created the cloud environment by using a new, modern and evolving, optimistic approach, infrastructure as code (IaC) by writing a Terraform code with the corresponding cloud source, AWS “Amazon Web Services”. The developed cloud architecture will provide the PaaS (Platform as a Service) for medical imaging analytics and will support all necessary software tools and packages. References Issue
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Цитирания (Citation/s):
1. Big data workflow platforms for science - 2021 - в издания, индексирани в Scopus или Web of Science
2. Seamlessly Managing HPC Workloads Through Kubernetes - 2020 - в издания, индексирани в Scopus или Web of Science
3. Medical imaging platforms and cloud solutions for the case study of breast cancer diagnostics - 2019 - в издания, индексирани в Scopus или Web of Science
4. Comparative analysis of workflow platform in support of in silico oncology - 2019 - в издания, индексирани в Scopus или Web of Science
5. Thyroid image classification algorithm using DT CWT - 2019 - в издания, индексирани в Scopus или Web of Science
6. Artico, F., Edge III, A. L., & Langham, K. (2022). The future of Artificial Intelligence for the BioTech Big Data landscape. Current Opinion in Biotechnology, 76, 102714. - 2022 - в издания, индексирани в Scopus или Web of Science
7. Ronaldo, H. Q. J. (2021). Terraform Como Herramienta Para Automatizar La Creación De Infraestructuras Siguiendo El Concepto “Infraestructura Como Código” (Doctoral dissertation, Ecuador-PUCESE-Escuela de Sistemas y Computación). - 2021 - от чужди автори в чужди издания, неиндексирани в Scopus или Web of Science
Вид: публикация в международен форум, публикация в издание с импакт фактор, публикация в реферирано издание, индексирана в Scopus и Web of Science