CFP last date
16 December 2024
Reseach Article

A Proposed System based on the Cloud Computing for Managing Mobile Device Resources while using Educational Platforms

by Elsaeed Elsaeed Mohamed Abdelrazek, Hasnaa Eltabakh, Hasnaa Eldesoky Eissa
International Journal of Applied Information Systems
Foundation of Computer Science (FCS), NY, USA
Volume 12 - Number 40
Year of Publication: 2023
Authors: Elsaeed Elsaeed Mohamed Abdelrazek, Hasnaa Eltabakh, Hasnaa Eldesoky Eissa
10.5120/ijais2023451940

Elsaeed Elsaeed Mohamed Abdelrazek, Hasnaa Eltabakh, Hasnaa Eldesoky Eissa . A Proposed System based on the Cloud Computing for Managing Mobile Device Resources while using Educational Platforms. International Journal of Applied Information Systems. 12, 40 ( April 2023), 14-21. DOI=10.5120/ijais2023451940

@article{ 10.5120/ijais2023451940,
author = { Elsaeed Elsaeed Mohamed Abdelrazek, Hasnaa Eltabakh, Hasnaa Eldesoky Eissa },
title = { A Proposed System based on the Cloud Computing for Managing Mobile Device Resources while using Educational Platforms },
journal = { International Journal of Applied Information Systems },
issue_date = { April 2023 },
volume = { 12 },
number = { 40 },
month = { April },
year = { 2023 },
issn = { 2249-0868 },
pages = { 14-21 },
numpages = {9},
url = { https://www.ijais.org/archives/volume12/number40/1134-2023451940/ },
doi = { 10.5120/ijais2023451940 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2023-07-05T19:11:39.446416+05:30
%A Elsaeed Elsaeed Mohamed Abdelrazek
%A Hasnaa Eltabakh
%A Hasnaa Eldesoky Eissa
%T A Proposed System based on the Cloud Computing for Managing Mobile Device Resources while using Educational Platforms
%J International Journal of Applied Information Systems
%@ 2249-0868
%V 12
%N 40
%P 14-21
%D 2023
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Mobile devices are becoming very popular due to their portability and small size, but they are still not comparable to that of PC. Computational and network intensive applications cannot run efficiently on mobile devices due to their limited batteries and energy deficient systems. Recent works to improve mobile device efficiency include mobile cloud computing, mobile edge computing, and device to device communication. Shifting the computations on the cloud will reduce the burden of mobile device but at the same time, this implementation presents many challenges. In this paper, an algorithm is proposed which can deal with the resource acquisition from different sources by using a context aware system.

References
  1. Al- Dahshan, Jamal Ali. Teaching and learning under mobile devices. Cairo: Joanna House for Publishing and Distribution (2015).
  2. Ali, F. A., Simoens, P., Verbelen, T., Demeester, P., & Dhoedt, B. (2016). Mobile device power models for energy efficient dynamic offloading at runtime. Journal of Systems and Software, 113, 173-187.
  3. Chen, X., Jiao, L., Li, W., & Fu, X. (2016). Efficient multi-user computation offloading for mobile-edge cloud computing. IEEE/ACM Transactions on Networking, 24(5), 2795-2808.
  4. E. Miluzzo, R. Caceres, and Y. Chen. Vision: mcloudscomputing on clouds of mobile devices. In Proceedings of ACM Workshop on Mobile Cloud Computing and Services, (2012).
  5. Guo S.T., Liu J.D., Yang Y.Y., Xiao B., Li Z.TEnergy-efficient dynamic computation offloading and cooperative task scheduling in mobile cloud computing,IEEE Trans. Mobile Comput., Early Access (2018).
  6. Meng, Y. Wang. Ljiao, Zy. Mian, k. Sun, Hierarchical evolutionary game based dynamic cloudler selection and band width allocation for mobile cloud comutering environment, IET commun. 13c1 (2019).
  7. Salman, Muhammad Al-Sayed. The effectiveness of a training program based on cloud computing applications in developing mobile learning skills for computer teachers (unpublished master's thesis), Faculty of Education, Mansoura University, Egypt. (2016).
  8. S. Al Noor, R. Hasan, and M.M. Haque. Cellcloud: a novel cost-effective formation of mobile cloud based on bidding incentives. In IEEE International Conference on Cloud Computing, pages 200–207,
  9. Tang, Y.l Luo, mobile user behavior based topology formation and optimization in ad hoc mobile cloud, J. syst. Softw. 148 (2019) 132-147.
  10. Wang Shu-Ching et al. Reliability Enhancement of Edge Computing Paradigm Using Agreement. Symmetry 2019.
  11. Yorganci, S. Investigating students’ self-efficacy and attitudes towards the use of mobile learning. Journal of Education and Practice, 8(6), 181-185. Retrieved from ERIC database. (EJ1133019) (2017).
  12. Zhou, Bowen, and Rajkumar Buyya. "Augmentation Techniques for Mobile Cloud Computing: A Taxonomy, Survey, and Future Directions." ACM Computing Surveys (CSUR) 51.1 (2018).
Index Terms

Computer Science
Information Sciences

Keywords

Mobile Computing Mobile Devices Resources Management Mobile Devices Resources Learning Platform