Multi-Database Monitoring Tool for the E-Health Services

Igor Kotsiuba, Maksym Nesterov, Yury Yanovich, Inna Skarga-Bandurova, Tetiana Biloborodova, Viacheslav Zhygulin

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

1 Citation (Scopus)

Abstract

The paper outlines some aspects of developing an information system for e-Health database administrators (DBA). This system is equipped with advanced database performance monitoring and prediction features and based on different captured metrics as CPUs, RAMs, HDDs, and other values as well as historical events from host cluster/nodes. The data are aggregated, processed and transformed to provide the developers, production and host DBA teams with timely, proper, and valuable information about existing issues. The graphical representation of critical parameters to the working instance is provided. The approaches to forecasting database performance troubles related to the degradation of its characteristics due to different cumulative effects are discussed.

Original languageEnglish
Title of host publicationProceedings - 2018 IEEE International Conference on Big Data, Big Data 2018
EditorsYang Song, Bing Liu, Kisung Lee, Naoki Abe, Calton Pu, Mu Qiao, Nesreen Ahmed, Donald Kossmann, Jeffrey Saltz, Jiliang Tang, Jingrui He, Huan Liu, Xiaohua Hu
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages2442-2448
Number of pages7
ISBN (Electronic)9781538650356
DOIs
Publication statusPublished - 22 Jan 2019
Externally publishedYes
Event2018 IEEE International Conference on Big Data, Big Data 2018 - Seattle, United States
Duration: 10 Dec 201813 Dec 2018

Publication series

NameProceedings - 2018 IEEE International Conference on Big Data, Big Data 2018

Conference

Conference2018 IEEE International Conference on Big Data, Big Data 2018
Country/TerritoryUnited States
CitySeattle
Period10/12/1813/12/18

Keywords

  • administration
  • dashboard
  • database
  • monitoring
  • performance

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