A Novel Micro-service Based Platform for Composition, Deployment and Execution of BDA Applications

• URL: http://arxiv.org/abs/2202.02845v1
• Date: Sun, 6 Feb 2022 20:36:17 GMT
• Title: A Novel Micro-service Based Platform for Composition, Deployment and Execution of BDA Applications
• Authors: Davide Profeta, Nicola Masi, Domenico Messina, Davide Dalle Carbonare, Susanna Bonura, Vito Morreale
• Abstract summary: ALIDA aims to achieve a unified platform that allows both BDA application developers and data analysts to interact with it. Developers will be able to register new BDA applications through the exposed API and/or through the web user interface. Data analysts will be able to use the BDA applications provided to create batch/stream through a dashboard user interface to manipulate and subsequently visualize results from one or more sources.
• Score: 0.0
• License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
• Abstract: Big Data are growing at an exponential rate and it becomes necessary the use of tools and technologies to manage, process and visualize them in order to extract value. In this paper a micro-service based platform is presented for the composition, deployment and execution of Big Data Analytics (BDA) application workflows in several domains and scenarios is presented. ALIDA is a result coming from previous research activities by ENGINEERING. It aims to achieve a unified platform that allows both BDA application developers and data analysts to interact with it. Developers will be able to register new BDA applications through the exposed API and/or through the web user interface. Data analysts will be able to use the BDA applications provided to create batch/stream workflows through a dashboard user interface to manipulate and subsequently visualize results from one or more sources. The platform also supports the auto-tuning of Big Data frameworks deployment properties to improve metrics for analytics application. ALIDA has been properly extended and integrated into a software solution for the analysis of large amounts of data from the avionic industries. A use case within this context is then presented.

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