Comparing Common Programming Languages to Parse Big XML File in Terms of Executing Time, Memory Usage, CPU Consumption and Line Number on Two Platforms

  • Abdo A
  • Alali S
N/ACitations
Citations of this article
8Readers
Mendeley users who have this article in their library.

Abstract

XML files are used widely to save the information especially in the field of bioinformatics about the whole genome. There are many programming languages and modules used to parse XML files in different platforms such as Linux, Macintosh and Windows. The aim of this report is to reveal and determine which common programming language to use and on which platform is better to parse XML files in terms of memory usage, CPU time consumption and executing time.

Cite

CITATION STYLE

APA

Abdo, A. M., & Alali, S. H. (2016). Comparing Common Programming Languages to Parse Big XML File in Terms of Executing Time, Memory Usage, CPU Consumption and Line Number on Two Platforms. European Scientific Journal, ESJ, 12(27), 325. https://doi.org/10.19044/esj.2016.v12n27p325

Register to see more suggestions

Mendeley helps you to discover research relevant for your work.

Already have an account?

Save time finding and organizing research with Mendeley

Sign up for free