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On View Consistency in Multi-Server Distributed Virtual Environments.

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    This study addresses view inconsistency and server overloading in distributed virtual environments (DVEs). A new framework optimizes these conflicting objectives, significantly improving DVE interactivity for online games and virtual worlds.

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    Area of Science:

    • Computer Science
    • Human-Computer Interaction
    • Network Engineering

    Background:

    • Distributed virtual environments (DVEs) enable remote user interaction in shared virtual spaces, gaining popularity in online gaming and virtual worlds.
    • Multi-server DVE architectures are necessary for scalability but face challenges with view inconsistency due to network delays and server overloading from uneven user distribution.

    Purpose of the Study:

    • To investigate the conflicting nature of view inconsistency and load balancing in multi-server DVEs.
    • To propose and evaluate a joint optimization framework to simultaneously address both view inconsistency and server overloading.

    Main Methods:

    • Analysis of the inherent conflict between view consistency and load balancing in DVEs.
    • Development of an efficient joint optimization framework for multi-server DVE architectures.

    Main Results:

    • Demonstrated that view inconsistency and load balancing are conflicting objectives in DVEs.
    • The proposed joint optimization framework effectively mitigates both view inconsistency and server overloading.
    • Significant improvements in view inconsistency were observed, enhancing DVE interactivity.

    Conclusions:

    • The proposed framework offers an effective solution for managing challenges in large-scale DVEs.
    • Optimizing for both view consistency and load balance is crucial for interactive DVE applications.
    • This research contributes to more robust and engaging distributed virtual environments.