Multi-objective optimization of dead-reckoning error thresholds for virtual environments | IEEE Conference Publication | IEEE Xplore

Multi-objective optimization of dead-reckoning error thresholds for virtual environments


Abstract:

Design trade-offs between state consistency and system response time are commonplace in virtual environments. Systems typically rely on predictive consistency algorithms ...Show More

Abstract:

Design trade-offs between state consistency and system response time are commonplace in virtual environments. Systems typically rely on predictive consistency algorithms such as dead-reckoning to control consistency and response time. Dead-reckoning error threshold selection determines the consistency/response time trade-off. We extend this trade-off space to explicitly account for the concept of system fairness. We derive a multi-objective optimization problem and apply multi-objective evolutionary algorithms to solve for Pareto optimal error thresholds.
Date of Conference: 19-23 May 2014
Date Added to IEEE Xplore: 31 July 2014
ISBN Information:
Conference Location: Minneapolis, MN, USA

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