Nautilus: A Precision-Guided Open Data Architecture for Big Omics Data Analysis

Wei Xing, Jon Smith, Mike Gavrielides, Steve Hindmarsh, Adam Huffman, Hai H. Wang

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

To make valuable omics data useful is becoming more urgent in medical research. The need to provide information on what and how data can be useful for a particular research question has presented significant challenges in big data management and analysis. This paper describes a new open data architecture and its architectural components. It also introduces the Nautilus platform following the architecture design. We evaluate the performance of data management with the Nautilus platform and demonstrate that applying smart technologies improves the performance to cost tradeoff achieved in an experimental environment.
Original languageEnglish
Title of host publication2019 2nd International Conference on Artificial Intelligence and Big Data (ICAIBD)
PublisherIEEE
Pages1-8
ISBN (Electronic)978-1-7281-0831-5
ISBN (Print)978-1-7281-0829-2
DOIs
Publication statusPublished - 16 Sep 2019
Event2019 2nd International Conference on Artificial Intelligence and Big Data (ICAIBD) - Chengdu, China
Duration: 25 May 201928 May 2019

Conference

Conference2019 2nd International Conference on Artificial Intelligence and Big Data (ICAIBD)
Period25/05/1928/05/19

Bibliographical note

Funding: Microsoft Research Azure Cloud and UK RSE Association.

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  • Cite this

    Xing, W., Smith, J., Gavrielides, M., Hindmarsh, S., Huffman, A., & Wang, H. H. (2019). Nautilus: A Precision-Guided Open Data Architecture for Big Omics Data Analysis. In 2019 2nd International Conference on Artificial Intelligence and Big Data (ICAIBD) (pp. 1-8). IEEE. https://doi.org/10.1109/ICAIBD.2019.8836977