期刊论文详细信息
Journal of Big Data
An empirical comparison of the performances of single structure columnar in-memory and disk-resident data storage techniques using healthcare big data
Research
A. O. Ibitoye1  R. F. Famutimi1  M. O. Oyelami1  O. M. Awoniran1 
[1] Bowen University, Iwo, Nigeria;
关键词: Healthcare big data;    Disk-resident database;    Columnar in-memory-resident database;    Big data analytics;    Descriptive analysis;    Big data volume complexity;   
DOI  :  10.1186/s40537-023-00691-x
 received in 2022-04-20, accepted in 2023-01-21,  发布年份 2023
来源: Springer
PDF
【 摘 要 】

Healthcare data in images, texts and other unstructured formats have continued to grow exponentially while generating storage concerns. Even though there are other complexities, volume complexity is a major challenge for Disk-Resident technique in storage optimization. Hence, this research aimed to empirically compare the efficiency of Disk-Resident and In-Memory single structure database technique (as opposed to multiple structure In-Memory database), using descriptive and inferential big data analytical approaches. The essence was to discover a more cost-effective storage option for healthcare big data. Data from Nigerian Health Insurance Scheme (NHIS) alongside sample patients’ history from Made-in-Nigeria Primary Healthcare Information System (MINPHIS) which included patients’ investigation, patients’ bio-data and patients’ diagnoses were the primary data for this research. An implementation of both Disk-Resident and single structure In-Memory resident data storage was carried out on these big data sources. After storage, each quantity of data items stored for different data items in Disk-Resident was then compared with that of single structure In-Memory resident system using size of items as comparison criteria and different analyses made.The results obtained showed that single structure In-Memory technique conserved up to 90.57% of memory spaces with respect to the traditional (common) Disk-Resident technique for text data items. This shows that with this In-Memory technique, an improved performance in terms of storage was obtained.

【 授权许可】

CC BY   
© The Author(s) 2023

【 预 览 】
附件列表
Files Size Format View
RO202305155050606ZK.pdf 2158KB PDF download
Fig. 5 796KB Image download
40854_2022_391_Article_IEq46.gif 1KB Image download
13690_2023_1029_Article_IEq5.gif 1KB Image download
Fig. 3 2363KB Image download
40249_2023_1061_Article_IEq20.gif 1KB Image download
Fig. 1 513KB Image download
Fig. 2 409KB Image download
MediaObjects/42004_2023_840_MOESM1_ESM.pdf 2079KB PDF download
40854_2022_440_Article_IEq23.gif 1KB Image download
Fig. 22 53KB Image download
MediaObjects/12951_2023_1782_MOESM1_ESM.pdf 819KB PDF download
40854_2022_440_Article_IEq31.gif 1KB Image download
Fig. 1 132KB Image download
Fig. 2 208KB Image download
【 图 表 】

Fig. 2

Fig. 1

40854_2022_440_Article_IEq31.gif

Fig. 22

40854_2022_440_Article_IEq23.gif

Fig. 2

Fig. 1

40249_2023_1061_Article_IEq20.gif

Fig. 3

13690_2023_1029_Article_IEq5.gif

40854_2022_391_Article_IEq46.gif

Fig. 5

【 参考文献 】
  • [1]
  • [2]
  • [3]
  • [4]
  • [5]
  • [6]
  • [7]
  • [8]
  • [9]
  • [10]
  • [11]
  • [12]
  • [13]
  • [14]
  • [15]
  • [16]
  • [17]
  • [18]
  • [19]
  • [20]
  • [21]
  • [22]
  文献评价指标  
  下载次数:0次 浏览次数:0次