2012
Silva, P.; Quintas, C.; Duarte, J.; Santos, M.; Neves, J.; Abelha, A.; MacHado, J.
Hospital database workload and fault forecasting Proceedings Article
Em: pp. 63-68, Langkawi, 2012, ISBN: 9781467316668, (cited By 6; Conference of 2012 2nd IEEE-EMBS Conference on Biomedical Engineering and Sciences, IECBES 2012 ; Conference Date: 17 December 2012 Through 19 December 2012; Conference Code:96763).
Resumo | Links | BibTeX | Etiquetas: Confidential information; Database performance; Database workload; Disaster recovery; Fault tolerant systems; Forecasting models; Hospital information systems; Indispensable tools, Database systems, Forecasting; Health care; Hospitals; Medical computing; Medicine
@inproceedings{Silva201263,
title = {Hospital database workload and fault forecasting},
author = {P. Silva and C. Quintas and J. Duarte and M. Santos and J. Neves and A. Abelha and J. MacHado},
url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-84876746497&doi=10.1109%2fIECBES.2012.6498150&partnerID=40&md5=35fa2df9982add8528a17ca52619208a},
doi = {10.1109/IECBES.2012.6498150},
isbn = {9781467316668},
year = {2012},
date = {2012-01-01},
journal = {2012 IEEE-EMBS Conference on Biomedical Engineering and Sciences, IECBES 2012},
pages = {63-68},
address = {Langkawi},
abstract = {With the growing importance of hospital information systems, databases became indispensable tools for day-to-day tasks in healthcare units. They store important and confidential information about patients clinical status and about the other hospital services. Thus, they must be permanently available, reliable and at high performance. In many healthcare units, fault tolerant systems are used. They ensure the availability, reliability and disaster recovery of data. However, these mechanisms do not allow the prediction or prevention of faults. In this context, it emerges the necessity of developing a fault forecasting system. The objectives of this paper are monitoring database performance to verify the normal workload for the main database of Centro Hospitalar do Porto and adapt a forecasting model used in medicine into the database context. Based on percentiles it was created a scale to represent the severity of situations. It was observe that the critical workload period is the period between 10:00 am and 12:00 am. Moreover, abnormal situations were detected and it was possible to send alerts and to request assistance. © 2012 IEEE.},
note = {cited By 6; Conference of 2012 2nd IEEE-EMBS Conference on Biomedical Engineering and Sciences, IECBES 2012 ; Conference Date: 17 December 2012 Through 19 December 2012; Conference Code:96763},
keywords = {Confidential information; Database performance; Database workload; Disaster recovery; Fault tolerant systems; Forecasting models; Hospital information systems; Indispensable tools, Database systems, Forecasting; Health care; Hospitals; Medical computing; Medicine},
pubstate = {published},
tppubtype = {inproceedings}
}
With the growing importance of hospital information systems, databases became indispensable tools for day-to-day tasks in healthcare units. They store important and confidential information about patients clinical status and about the other hospital services. Thus, they must be permanently available, reliable and at high performance. In many healthcare units, fault tolerant systems are used. They ensure the availability, reliability and disaster recovery of data. However, these mechanisms do not allow the prediction or prevention of faults. In this context, it emerges the necessity of developing a fault forecasting system. The objectives of this paper are monitoring database performance to verify the normal workload for the main database of Centro Hospitalar do Porto and adapt a forecasting model used in medicine into the database context. Based on percentiles it was created a scale to represent the severity of situations. It was observe that the critical workload period is the period between 10:00 am and 12:00 am. Moreover, abnormal situations were detected and it was possible to send alerts and to request assistance. © 2012 IEEE.