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Towards a hybrid row-column database for a cloud-based medical data management system

Published: 31 August 2012 Publication History

Abstract

Medical data management becomes a real exigency. The emergence of new medical imaging techniques and the necessity to access medical information at any time have led to an inevitable need to find new advanced solutions for managing these critical data. Actual local archiving systems are very expensive and cannot support this heterogeneous and enormous data size. Cloud computing has attracted significant attention due to its major characteristics of elasticity, availability and pay-per-use. A good exploitation of this infrastructure constitutes an effective and promising solution for managing medical data and images. In this position paper, we highlight the challenges in integrating highly heterogeneous data such as DICOM files in the clouds. We then propose a novel hybrid row-column, two-level database architecture for the storage of heterogeneous data over the cloud.

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cover image ACM Other conferences
Cloud-I '12: Proceedings of the 1st International Workshop on Cloud Intelligence
August 2012
59 pages
ISBN:9781450315968
DOI:10.1145/2347673
Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 31 August 2012

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Author Tags

  1. DICOM
  2. cloud computing
  3. hybrid database
  4. medical imaging

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  • Research-article

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Cloud-I '12

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Cloud-I '12 Paper Acceptance Rate 8 of 15 submissions, 53%;
Overall Acceptance Rate 12 of 23 submissions, 52%

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Cited By

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  • (2023)Multi-dimensional Complex Query Optimization for Disease-Specific Data Exploration Based on Data LakeHealth Information Science10.1007/978-981-99-7108-4_27(321-330)Online publication date: 11-Oct-2023
  • (2022)Data Exploration Optimization for Medical Big DataHealth Information Science10.1007/978-3-031-20627-6_14(145-156)Online publication date: 25-Oct-2022
  • (2021)MKGB: A Medical Knowledge Graph Construction Framework Based on Data Lake and Active LearningHealth Information Science10.1007/978-3-030-90885-0_22(245-253)Online publication date: 10-Nov-2021
  • (2021)MHDP: An Efficient Data Lake Platform for Medical Multi-source Heterogeneous DataWeb Information Systems and Applications10.1007/978-3-030-87571-8_63(727-738)Online publication date: 17-Sep-2021
  • (2017)NoSQL Technologies for Real Time (Patient) MonitoringHealthcare Ethics and Training10.4018/978-1-5225-2237-9.ch053(1112-1140)Online publication date: 2017
  • (2017)NoSQL Technologies for Real Time (Patient) MonitoringMedical Imaging10.4018/978-1-5225-0571-6.ch037(932-961)Online publication date: 2017
  • (2017)Cloud Engineering Principles and Technology Enablers for Medical Image Processing-as-a-Service2017 IEEE International Conference on Cloud Engineering (IC2E)10.1109/IC2E.2017.23(127-137)Online publication date: Apr-2017
  • (2017)Icarus: Towards a multistore database system2017 IEEE International Conference on Big Data (Big Data)10.1109/BigData.2017.8258207(2490-2499)Online publication date: Dec-2017
  • (2015)NoSQL Technologies for Real Time (Patient) MonitoringAdvanced Technological Solutions for E-Health and Dementia Patient Monitoring10.4018/978-1-4666-7481-3.ch008(183-210)Online publication date: 2015
  • (2013)Information push based discharged patient follow-up system2013 First International Symposium on Future Information and Communication Technologies for Ubiquitous HealthCare (Ubi-HealthTech)10.1109/Ubi-HealthTech.2013.6708058(1-5)Online publication date: Jul-2013

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