![](/images/graphics-bg.png)
Development of Multiple Big Data Analytics Platforms with Rapid Response
Joint Authors
Chang, Bao Rong
Lee, Yun-Da
Liao, Po-Hao
Source
Issue
Vol. 2017, Issue 2017 (31 Dec. 2017), pp.1-13, 13 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2017-06-21
Country of Publication
Egypt
No. of Pages
13
Main Subjects
Abstract EN
The crucial problem of the integration of multiple platforms is how to adapt for their own computing features so as to execute the assignments most efficiently and gain the best outcome.
This paper introduced the new approaches to big data platform, RHhadoop and SparkR, and integrated them to form a high-performance big data analytics with multiple platforms as part of business intelligence (BI) to carry out rapid data retrieval and analytics with R programming.
This paper aims to develop the optimization for job scheduling using MSHEFT algorithm and implement the optimized platform selection based on computing features for improving the system throughput significantly.
In addition, users would simply give R commands rather than run Java or Scala program to perform the data retrieval and analytics in the proposed platforms.
As a result, according to performance index calculated for various methods, although the optimized platform selection can reduce the execution time for the data retrieval and analytics significantly, furthermore scheduling optimization definitely increases the system efficiency a lot.
American Psychological Association (APA)
Chang, Bao Rong& Lee, Yun-Da& Liao, Po-Hao. 2017. Development of Multiple Big Data Analytics Platforms with Rapid Response. Scientific Programming،Vol. 2017, no. 2017, pp.1-13.
https://search.emarefa.net/detail/BIM-1203455
Modern Language Association (MLA)
Chang, Bao Rong…[et al.]. Development of Multiple Big Data Analytics Platforms with Rapid Response. Scientific Programming No. 2017 (2017), pp.1-13.
https://search.emarefa.net/detail/BIM-1203455
American Medical Association (AMA)
Chang, Bao Rong& Lee, Yun-Da& Liao, Po-Hao. Development of Multiple Big Data Analytics Platforms with Rapid Response. Scientific Programming. 2017. Vol. 2017, no. 2017, pp.1-13.
https://search.emarefa.net/detail/BIM-1203455
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1203455