DOI
stands for Digital Object Identifier
(
D
igital
O
bject
I
dentifier
)
,
and is the unique identifier for objects on the internet. It can be used to create persistent link and to cite articles.
Using DOI as a persistent link
To create a persistent link, add「http://dx.doi.org/」
「
http://dx.doi.org/
」
before a DOI.
For instance, if the DOI of an article is
10.5297/ser.1201.002
, you can link persistently to the article by entering the following link in your browser:
http://dx.doi.org/
10.5297/ser.1201.002
。
The DOI link will always direct you to the most updated article page no matter how the publisher changes the document's position, avoiding errors when engaging in important research.
Cite a document with DOI
When citing references, you should also cite the DOI if the article has one. If your citation guideline does not include DOIs, you may cite the DOI link.
DOIs allow accurate citations, improve academic contents connections, and allow users to gain better experience across different platforms. Currently, there are more than 70 million DOIs registered for academic contents. If you want to understand more about DOI, please visit airiti DOI Registration ( doi.airiti.com ) 。
Performance Improvement for Big Data Iterative Computing-The Case Study of Spark Program
邱則凱 , Masters Advisor:溫演福;陳郁方
繁體中文
大數據 ; Spark ; 迭代型應用 ; Big Data ; Spark ; Iterative application


- Purdom Jr, P. (1970). A transitive closure algorithm. BIT Numerical Mathematics, 10(1), 76-94.
連結: - Apache Hadoop(2014), Retrieve November 1, 2015 from: https://hadoop.apache.org
- Apache Spark(2016), Retrieve March 21, 2016 from: https://spark.apache.org
- Gu, L., & Li, H. (2013, November). Memory or time: Performance evaluation for iterative operation on hadoop and spark. In High Performance Computing and Communications & 2013 IEEE International Conference on Embedded and Ubiquitous Computing (HPCC_EUC), 2013 IEEE 10th International Conference on (pp. 721-727). IEEE.
- Hinton, A., Kwiatkowska, M., Norman, G., & Parker, D. (2006). PRISM: A tool for automatic verification of probabilistic systems. In Tools and Algorithms for the Construction and Analysis of Systems (pp. 441-444). Springer Berlin Heidelberg.