A Multi-server Approach for Large Scale Collaborative Game-Based Learning

  • Yunhua Deng
  • Zhe Huang
Part of the Lecture Notes in Computer Science book series (LNCS, volume 8613)


E-learning through online games, where users play collaboratively to gain knowledge, has great potential to significantly change the way we learn. As the number of participants is no longer limited by the classroom, the learning process could potentially involve tens of thousands of learners. However, hosting massive users playing in a shared game world is nontrivial, as the underlying servers may get overloaded by the constantly changing workload due to user activity. In this work, we adapt a multi-server approach with dynamic load balancing to enable large scale collaborative game-based learning. Through simulation, we thoroughly evaluate its performance and identify the optimal settings of the key load balancing parameters under different scenarios. Results imply that the multi-server approach can support tens of thousands of users learning together, through combining the power of multiple servers each of which only can handle hundreds of users.


Virtual Environment Load Balance Virtual World Online Game Dynamic Load Balance 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.


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  1. 1.
  2. 2.
  3. 3.
    Boillat, J.: Load balancing and poisson equation in a graph. Concurrency: Practice and Experience 2(4), 289–313 (1990)CrossRefGoogle Scholar
  4. 4.
    Bollen, L., Hoppe, H., Milrad, M., Pinkwart, N.: Collaborative modelling in group learning environments. In: Proc. System Dynamics Conference (2002)Google Scholar
  5. 5.
    De Chiara, R., Di Matteo, A., Manno, I., Scarano, V.: CoFFEE: Cooperative Face2Face educational environment. In: Proc. CollaborateCom (2007)Google Scholar
  6. 6.
    Deng, Y., Lau, R.: On delay adjustment for dynamic load balancing in distributed virtual environments. IEEE TVCG 18(4), 529–537 (2012)Google Scholar
  7. 7.
    Deng, Y., Lau, R.: Dynamic load balancing in distributed virtual environments using heat diffusion. ACM TOMCCAP 10(2), 16:1–16:19 (2014)Google Scholar
  8. 8.
    Lau, R.: Hybrid load balancing for online games. In: Proc. ACM MM (2010)Google Scholar
  9. 9.
    Lee, K., Lee, D.: A scalable dynamic load distribution scheme for multi-server distributed virtual environment systems with highly-skewed user distribution. In: Proc. ACM VRST (2003)Google Scholar
  10. 10.
    Li, F., Lau, R.: Emerging technologies and applications on interactive entertainments. Journal of Multimedia 6(2), 107–114 (2011)Google Scholar
  11. 11.
    Li, Q., Lau, R., Shih, T., Li, F.: Technology supports for distributed and collaborative learning over the internet. ACM TOIT 8(2), 5:1–5:24 (2008)Google Scholar
  12. 12.
    Li, Q., Lau, R., Wah, B., Ashman, H., Leung, E., Li, F., Lee, V.: Guest editors’ introduction: Emerging internet technologies for e-learning. IEEE Internet Computing 13(4), 11–17 (2009)CrossRefGoogle Scholar
  13. 13.
    Ludvigsen, S., Mørch, A.: Computer-supported collaborative learning: Basic concepts, multiple perspectives, and emerging trends. The International Encyclopedia of Education 5, 290–296 (2010)CrossRefGoogle Scholar
  14. 14.
    Lui, J., Chan, M.: An efficient partitioning algorithm for distributed virtual environment systems. IEEE TPDS 13(3), 193–211 (2002)Google Scholar
  15. 15.
    Berg Marklund, B., Backlund, P., Johannesson, M.: Children’s collaboration in emergent game environments. In: Proc. FDG (2013)Google Scholar
  16. 16.
    Ng, B., Lau, R., Si, A., Li, F.: Multi-server support for large scale distributed virtual environments. IEEE TMM 7(6), 1054–1065 (2005)Google Scholar
  17. 17.
    Ng, B., Li, F., Lau, R., Si, A., Siu, A.: A performance study of multi-server systems for distributed virtual environments. Information Sciences 154(1) (2003)Google Scholar
  18. 18.
    Puntambekar, S., et al.: Intra-group and intergroup: An exploration of learning with complementary collaboration tools. In: Proc. CSCL (1997)Google Scholar
  19. 19.
    Sancho, P., Gómez-Martín, P., Fernández-Manjón, B.: Multiplayer role games applied to problem based learning. In: Proc. DIMEA (2008)Google Scholar
  20. 20.
    Scardamalia, M., Bereiter, C.: Computer support for knowledge-building communities. Journal of the Learning Sciences 3(3), 265–283 (1994)CrossRefGoogle Scholar
  21. 21.
    Short, D.: Teaching scientific concepts using a virtual world - minecraft. Teaching Science: The Journal of the ASTA 58(3), 55–58 (2012)Google Scholar
  22. 22.
    To, D., Lau, R., Green, M.: A method for progressive and selective transmission of multi-resolution models. In: Proc. ACM VRST (1999)Google Scholar
  23. 23.
    To, D., Lau, R., Green, M.: An adaptive multi-resolution method for progressive model transmission. Presence 10(1), 62–74 (2001)CrossRefGoogle Scholar
  24. 24.
    Toro-Troconis, M., et al.: Design and delivery of game-based learning for virtual patients in second life. In: Researching Learning in Virtual Worlds (2010)Google Scholar
  25. 25.
    Van Den Bossche, B., et al.: Autonomic microcell assignment in massively distributed online virtual environments. JNCA 32(6), 1242–1256 (2009)CrossRefGoogle Scholar

Copyright information

© Springer International Publishing Switzerland 2014

Authors and Affiliations

  • Yunhua Deng
    • 1
  • Zhe Huang
    • 1
  1. 1.City University of Hong KongKowloonHong Kong, China

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