Details

Autor(en) / Beteiligte

• Sener, Yigit
• Yetim, Hasan Fahri
• Bagriyanik, Selami

Titel

Delivering Machine Learning Applications via Cloud Platforms: An Experience Report

Ist Teil von

• 2020 Turkish National Software Engineering Symposium (UYMS), 2020, p.1-3

Ort / Verlag

IEEE

Erscheinungsjahr

2020

Quelle

IEEE/IET Electronic Library

Beschreibungen/Notizen

• Cloud technologies enable developers and organizations to focus on their product, without having to consider issues such as local server capacity, infrastructure modifications, data security, licensing or human capital. This paper attempts to explain a case in which a Machine Learning application is deployed via Amazon Web Services (AWS) tools. In doing so, it demonstrates the reasoning behind choosing a cloud-based environment instead of on-premise sources, by putting forward the advantages of the former. On the other hand, it should be noted that the application in this experience is generated with a hybrid approach: It is developed using on-premise infrastructure and then moved to the Cloud environment for the deployment phase only. In this regard, it can be read as a PaaS experience. This study is considered to be a beneficial guide for entrepreneurs and start-ups on a budget who aim at launching their products in a swift and scalable manner.