A Unified Cloud-Native Architecture for Heterogeneous Data Aggregation and Computation

Fatemeh Rouzbeh, Ananth Grama, Paul Griffin, Mohammad Adibuzzaman

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

Abstract

Improving healthcare depends on collecting and analyzing different types of health related data such as Electronic Health Records (EHR), Patient Generated Health Data (PGHD), prescription and medication data and medical image data. Even though different solutions in terms of storage and processing have been designed and developed but each solution is usually designed for a specific type of data. Storing, processing, and analyzing all types of data using a single solution necessarily doesn't result in best performance and quality of analysis. To acquire the better quality, each types of data requires its own type of storage, data processing and machine learning solutions which cannot be integrated as a unified system in some cases. In order to have a unified system that serves all types of data we propose a modular cloud native architecture with autonomous modules in terms of control, deployment and management for each types of data.

Original languageEnglish (US)
Title of host publicationProceedings of the 11th ACM International Conference on Bioinformatics, Computational Biology and Health Informatics, BCB 2020
PublisherAssociation for Computing Machinery, Inc
ISBN (Electronic)9781450379649
DOIs
StatePublished - Sep 21 2020
Event11th ACM International Conference on Bioinformatics, Computational Biology and Health Informatics, BCB 2020 - Virtual, Online, United States
Duration: Sep 21 2020Sep 24 2020

Publication series

NameProceedings of the 11th ACM International Conference on Bioinformatics, Computational Biology and Health Informatics, BCB 2020

Conference

Conference11th ACM International Conference on Bioinformatics, Computational Biology and Health Informatics, BCB 2020
CountryUnited States
CityVirtual, Online
Period9/21/209/24/20

All Science Journal Classification (ASJC) codes

  • Computer Science Applications
  • Software
  • Biomedical Engineering
  • Health Informatics

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