Reducing Write Amplification of Flash Storage through Cooperative Data Management with NVM

2017 ◽  
Vol 13 (2) ◽  
pp. 1-13 ◽  
Author(s):  
Eunji Lee ◽  
Julie Kim ◽  
Hyokyung Bahn ◽  
Sunjin Lee ◽  
Sam H. Noh
Keyword(s):  
Data Management ◽  
Flash Storage ◽  
Write Amplification

Mitigating the Write Amplification Problem of Write-Optimized File Systems on Flash Storage

2017 ◽  
Author(s):  
Shuo-Han Chen ◽  
Jun-Long Lin ◽  
Tseng-Yi Chen ◽  
Tsan-Sheng Hsu ◽  
Hsin-Wen Wei ◽  
...  
Keyword(s):  
File Systems ◽  
Flash Storage ◽  
Write Amplification

Health Informatics: Handle with Caution

1997 ◽  
Vol 36 (02) ◽  
pp. 79-81
Author(s):  
V. Leroy ◽  
S. Maurice-Tison ◽  
B. Le Blanc ◽  
R. Salamon
Keyword(s):  
Health Care ◽  
Data Management ◽  
Medical Informatics ◽  
Health Care Professionals ◽  
Data Security ◽  
Health Informatics ◽  
The Other ◽  
Inappropriate Use

Abstract:The increased use of computers is a response to the considerable growth in information in all fields of activities. Related to this, in the field of medicine a new component appeared about 40 years ago: Medical Informatics. Its goals are to assist health care professionals in the choice of data to manage and in the choice of applications of such data. These possibilities for data management must be well understood and, related to this, two major dangers must be emphasized. One concerns data security, and the other concerns the processing of these data. This paper discusses these items and warns of the inappropriate use of medical informatics.

Data Management in an Epidemiological Study : Experiences from the Iowa 500 Field Follow-up and Family Study

1980 ◽  
Vol 19 (01) ◽  
pp. 37-41
Author(s):  
R. F. Woolson ◽  
M. T. Tsuang ◽  
L. R. Urban
Keyword(s):  
Data Management ◽  
Epidemiological Study ◽  
Family Study ◽  
Data Sets ◽  
Data Handling ◽  
Management Decisions ◽  
Numerous Data ◽  
Made In

We are now conducting a forty-year follow-up and family study of 200 schizophrenics, 325 manic-depressives and 160 surgical controls. This study began in 1973 and has continued to the present date. Numerous data handling and data management decisions were made in the course of collecting the data for the project. In this report some of the practical difficulties in the data handling and computer management of such large and bulky data sets are enumerated.

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