Cloud Computing Loading Time Over Different Operating Systems

  • Kamaran H.A Faraj Dept. of Computer Science, Cihan University, Sulaimaniya, University of Sulemani, Iraq
  • Asan B. Kanbar Dept. of Computer Science,Cihan University, Sulaimaniya, Iraq
  • Jaza Gul-Mohammed Faculty of Engineering, University of Sulemani, Sulemani, Iraq
  • Wafaa M. Hmeed Dept. of Computer Science, Cihan University, Sulaimaniya, Iraq
  • Shagul F. Karim College of Agricultural engineering science, University of Sulemani, Sulemani, Iraq
Keywords: Cloud Computing, Electronic Time Loading, Traditional Time Loading, Parallel Processing Systems, Operating Systems

Abstract

Since the traditional time loading (TTL) very primitive before the era of information communication technology (ICT) and it was really not depended on the result of time-loading due to the old version of computer architecture (i.e. serial processing). Nevertheless, the parallel processing systems open a wide area of researching for electronic time loading (ETL) over different operating systems by programing languages (i.e. python or private home page (Php)). The electronic time loading (ETL) for cloud Computing (CC) is a hot experimental topic.  ETL for CC is not only one parameter (i.e. a web technologies type or a web applications type or an infrastructures type or an architectures type). Moderately, the term CC refers to the evolution of the information technology (IT). As we realized the ETL is very important for reducing time wasting. The reducing time-waste loading over different web operating systems or CC is a target in this paper.  Finally, this paper test the Electronic Loading Time of CC over different operating systems with different types of network (i.e. public and private) discovering the least ETL. Hence the benchmarking TTL is not applicable (N/A) due to the activity from a person to others is very changeable and not depended on it at all.  This paper shows the total time and load time over different OS in seconds, and find out the least time loading required this work is a good solution of the response time over different operating system in open source-LOS and non-open source WOS.

Author Biographies

Kamaran H.A Faraj, Dept. of Computer Science, Cihan University, Sulaimaniya, University of Sulemani, Iraq

Dept. of Computer Science, Cihan University, Sulaimaniya, University of Sulemani, Iraq, (kamaranfaraj@yahoo.com)

Asan B. Kanbar, Dept. of Computer Science,Cihan University, Sulaimaniya, Iraq

Dept. of Computer Science,Cihan University, Sulaimaniya, Iraq, (asan.baker@sulicihan.edu.krd)

Jaza Gul-Mohammed, Faculty of Engineering, University of Sulemani, Sulemani, Iraq

Faculty of Engineering, University of Sulemani, Sulemani, Iraq, (jeza.gul@univsul.edu.iq)

Wafaa M. Hmeed, Dept. of Computer Science, Cihan University, Sulaimaniya, Iraq

Dept. of Computer Science, Cihan University, Sulaimaniya, Iraq, (wafaa.mustafa@sulicihan.edu.krd)

Shagul F. Karim, College of Agricultural engineering science, University of Sulemani, Sulemani, Iraq

College of Agricultural engineering science, University of Sulemani, Sulemani, Iraq, (shagul.karim@univsul.edu.iq)

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Published
2020-12-30
How to Cite
Faraj, K., Kanbar, A., Gul-Mohammed, J., Hmeed, W., & Karim, S. (2020). Cloud Computing Loading Time Over Different Operating Systems. Science Journal of University of Zakho, 8(4), 154-159. https://doi.org/10.25271/sjuoz.2020.8.4.756
Section
Science Journal of University of Zakho