Components and Development in Big Data System : A Survey
Research output: Journal Publications and Reviews › RGC 21 - Publication in refereed journal › peer-review
Author(s)
Related Research Unit(s)
Detail(s)
| Original language | English |
|---|---|
| Pages (from-to) | 51-72 |
| Journal / Publication | Journal of Electronic Science and Technology |
| Volume | 17 |
| Issue number | 1 |
| Online published | 25 Mar 2019 |
| Publication status | Published - Mar 2019 |
Link(s)
| Document Link | Links
|
|---|---|
| Link to Scopus | https://www.scopus.com/record/display.uri?eid=2-s2.0-85064148415&origin=recordpage |
| Permanent Link | https://scholars.cityu.edu.hk/en/publications/publication(b8f2db5b-08c9-4021-a2a4-d64b60dcb6cf).html |
Abstract
With the growth of distributed computing systems, the modern Big Data analysis platform products often have diversified characteristics. It is hard for users to make decisions when they are in early contact with Big Data platforms. In this paper, we discussed the design principles and research directions of modern Big Data platforms by presenting research in modern Big Data products. We provided a detailed review and comparison of several state-of-the-art frameworks and concluded into a typical structure with five horizontal and one vertical. According to this structure, this paper presents the components and modern optimization technologies developed for Big Data, which helps to choose the most suitable components and architecture from various Big Data technologies based on requirements.
Research Area(s)
- Big Data, cloud computing, data analysis, optimization, system architecture
Citation Format(s)
Components and Development in Big Data System: A Survey. / Yu, Jing-Huan; Zhou, Zi-Meng.
In: Journal of Electronic Science and Technology, Vol. 17, No. 1, 03.2019, p. 51-72.
In: Journal of Electronic Science and Technology, Vol. 17, No. 1, 03.2019, p. 51-72.
Research output: Journal Publications and Reviews › RGC 21 - Publication in refereed journal › peer-review
