Abstract
Load distribution of distributed system is not balanced. The imbalance could cause low efficiency. There are many studies on how to balance loads in a distributed system, among which are multiple studies achieve the goal by using linear time delay system. In the paper, we propose an impulsive and switching load balancing model with time delay based on control theory. In order to describe various current states of a node, we construct corresponding sub-system according to the dynamics of node resources. The model reallocates tasks in light of task’s real-time running status so as to improve the efficiency of dynamic load balancing. We propose an adaptive optimal control strategy, which makes the feedback control method of our model more practical. Experimental results demonstrate that the proposed model can make the system balanced, and verify the feasibility of the model.
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Zhao, T., Qiao, J., Lin, S., Wang, Y. (2019). Adaptive Control and Optimization on Dynamic Load Balancing Model. In: Park, J., Shen, H., Sung, Y., Tian, H. (eds) Parallel and Distributed Computing, Applications and Technologies. PDCAT 2018. Communications in Computer and Information Science, vol 931. Springer, Singapore. https://doi.org/10.1007/978-981-13-5907-1_8
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DOI: https://doi.org/10.1007/978-981-13-5907-1_8
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