ATLAS: Big Data Storage and Analytics Tool for ATM Researchers

Autor: Ankit Tyagi, Jyotirmaya Nanda
Rok vydání: 2016
Předmět:
Zdroj: AIAA Infotech @ Aerospace.
DOI: 10.2514/6.2016-0577
Popis: This paper presents the architecture and development of ATLAS, a data warehousing and Big Data analytics tool for Air Traffic Management (ATM) researchers. The paper describes the motivation behind the development of this tool and provides the design considerations and constraints for the development process. ATLAS is designed to be a multi-level, multiobjective tool for Big Data analysis that extracts ATM data from a variety of ATM data stores and prepares it for holistic analysis within an actionable timeline. ATLAS aims to be an intelligent repository for a variety of ATM data and would allow users to combine datasets, query and analyze them. Instead of downloading, cleaning, ingesting, and querying a small subset of one or multiple datasets, manually, the user could use ATLAS for all those steps with the click of a button. ATLAS leverages on recent Big Data tools and techniques of nonrelational databases, map reduce, resilient distributed datasets, and distributed file system storage to optimize the flow of ATM data from the repository to the user. The tool architecture allows for deployment on private or public cloud infrastructure and can be accessed via a website that acts as ATLAS portal for the end user. The web portal supports upload/ingestion of raw data, data quality checks, querying a subset of data, downloading data, and even provides REST end points. This paper presents the advances made towards ATLAS thus far.
Databáze: OpenAIRE