Mobile Networks and Applications

, Volume 24, Issue 1, pp 18–24 | Cite as

Key Technologies and Solutions of Remote Distributed Virtual Laboratory for E-Learning and E-Education

  • Yun Lin
  • Sen Wang
  • Qidi Wu
  • Lei ChenEmail author


As the world of technology offers a rapidly increasing number of outlets for creativity and communications, a worldwide education is undergoing a significant renovation. Today, students can have the access to virtual classroom from anywhere, at any time. While E-learning, E-education and remote education are highly encouraged thanks to their obvious advantages, there is a necessity to explore the network service, QoS, organization and structure of these modern teaching-learning approaches. Widely adopted by numerous universities and institutions, the remote distributed virtual laboratory is an important technology for delivering highly efficient and effective E-learning, E-education and remote education in many disciplines. For this reason, in this paper, a number of key problems of this critical technology are discussed, with the goal of providing references and solutions for successful and smooth implementation.


E-learning E-education Remote education Virtual laboratory 



This work is supported by the National Natural Science Foundation of China (61771154) and the Fundamental Research Funds for the Central Universities (HEUCFG201830).

Meantime, all the authors declare that there is no conflict of interests regarding the publication of this article.

We gratefully thank of very useful discussions of reviewers.


  1. 1.
    Guo L, Guo Y, Yihua Z, Yuhai S (2003) The virtual lab system. The Journal of China Universities of Posts and Telecommunications 10(2):81–84Google Scholar
  2. 2.
    Nedic Z, Machotka J, Nafalski A (2003) Remote laboratories versus virtual and real laboratories. IEEE Frontiers in Education 1:T3E-1–T3E-6Google Scholar
  3. 3.
    Jara CA, Candelas FA, Puente ST, Torres F (2011) Hands-on experiences of undergraduate students in automatics and robotics using a virtual and remote laboratory. Comput Educ 57(4):2451–2461CrossRefGoogle Scholar
  4. 4.
    Caminero A, Ros S, Hernandez R, Roblesgomez A, Tobarra L, Tolbanos P (2016) Virtual remote laboratories management system (tutores): using cloud computing to acquire university practical skills. IEEE Trans Learn Technol 9(2):133–145CrossRefGoogle Scholar
  5. 5.
    Bora UJ, Ahmed M (2013) E-learning using cloud computing. Int J Sci Modern Eng 1(2):9–13Google Scholar
  6. 6.
    Selviandro N, Hasibuan ZA (2013) Cloud-Based e-learning: a proposed model and benefits by using e-learning based on cloud computing for educational institution. International Conference on Information and Communication Technology 7804:192–201Google Scholar
  7. 7.
    Corter JE, Nickerson JV, Esche SK, Chassapis C (2004) Remote versus hands-on labs: a comparative study. Frontiers in Education. IEEE Frontiers in Education 2:F1G-17–F1G-21Google Scholar
  8. 8.
    Shaheen M, Loparo KA, Buchner M (1998) Remote laboratory experimentation. American Control Conference. IEEE American Control Conference 2:1326–1329Google Scholar
  9. 9.
    Schmid C (1998) The virtual control lab VCLab for education on the Web. American Control Conference. IEEE American Control Conference 2:1314–1318Google Scholar
  10. 10.
    Casini M, Garulli A, Prattichizzo D, Vicino A (2003) Remote system identification in the "automatic control telelab" environment. IEEE Conference on Decision & Control 5:4956–4961Google Scholar
  11. 11.
    Bhandari A, Shor MH (1998) Access to an instructional control laboratory experiment through the World Wide Web. American Control Conference. IEEE Xplore 2:1319–1325Google Scholar
  12. 12.
    Casini M, Prattichizzo D, Vicino A (2001) The Automatic Control Telelab: a remote control engineering laboratory. IEEE Conference on Decision & Control 4:3242–3247Google Scholar
  13. 13.
    Sureshbhosale Y, Jenila LLM (2014) V-lab: a mobile virtual lab for network security studies. Int J Comput Appl 93(20):35–38Google Scholar
  14. 14.
    Liu H, Dan O (2010) Remote network labs: an on-demand network cloud for configuration testing. ACM 40(1):83–91MathSciNetGoogle Scholar
  15. 15.
    Ros S, Robles-Gomez A, Hernandez R, Caminero AC, Pastor R (2012) Using virtualization and automatic evaluation: adapting network services management courses to the ehea. IEEE Trans Educ 55(2):196–202CrossRefGoogle Scholar
  16. 16.
    Rajurikar NS, Kulkarni SV, Patane RD (2017) Implementation of Centralized Lab of an Embedded Web server using CoAP Protocol on cloud computing. IEEE International Conference on Recent Trends in Electronics, Information and Communication Technology 2267–2272Google Scholar
  17. 17.
    Shukhman AE, Polezhaev PN, Legashev LV, Ushakov YA, Bolodurina IP (2017) Creation of regional center for shared access to educational software based on cloud technology. IEEE Global Engineering Education Conference 916–919Google Scholar
  18. 18.
    Gasparetti F, De MC, Limongelli C, Sciarrone F, Temperini M (2017) Prerequisites between learning objects: Automatic extraction based on a machine learning approach. Telematics Inform 35(3):595–610CrossRefGoogle Scholar
  19. 19.
    Zhou JT, Zhao H, Peng X, Fang M, Qin Z, Goh RSM (2018) Transfer Hashing: From Shallow to Deep. IEEE Transactions on Neural Networks and Learning Systems 99:1–11CrossRefGoogle Scholar
  20. 20.
    Matijevic MS, Jovic ND, Nedeljkovic MS, Cantrak DS (2017) Remote labs and problem oriented engineering education. IEEE Global Engineering Education Conference 1391–1396Google Scholar

Copyright information

© Springer Science+Business Media, LLC, part of Springer Nature 2018

Authors and Affiliations

  1. 1.College of Information and Communication EngineeringHarbin Engineering UniversityHarbinPeople’s Republic of China
  2. 2.Daqing Vocational CollegeDa QingPeople’s Republic of China
  3. 3.Department of Information Technology, College of Engineering and ComputingGeorgia Southern UniversityStatesboroUSA

Personalised recommendations