Strategic behavior and social optimization in a clearing queueing system with N-policy and stochastic restarting scheme
作者:
Highlights:
• An N-policy and a stochastic restarting scheme are proposed for clearing queueing system for addressing issues of system energy consumptions and delay performance.
• The distribution of the sojourn time for a new arriving customer is derived by recurrence formulas and an effective algorithm is presented to calculate the distribution of the sojourn time.
• Optimistic value is taken into account to evaluate customers’ utilities and the corresponding confidence level characterizes customers’ risk references. It seems the first time to be discussed in the strategic queueing systems.
• Algorithms is designed to calculate customers’ equilibrium and socially optimal strategies, and numerical experiments are presented to show the local monotonicity of the joining probability with respect to system parameters.
摘要
•An N-policy and a stochastic restarting scheme are proposed for clearing queueing system for addressing issues of system energy consumptions and delay performance.•The distribution of the sojourn time for a new arriving customer is derived by recurrence formulas and an effective algorithm is presented to calculate the distribution of the sojourn time.•Optimistic value is taken into account to evaluate customers’ utilities and the corresponding confidence level characterizes customers’ risk references. It seems the first time to be discussed in the strategic queueing systems.•Algorithms is designed to calculate customers’ equilibrium and socially optimal strategies, and numerical experiments are presented to show the local monotonicity of the joining probability with respect to system parameters.
论文关键词:Equilibrium strategy,Social optimization,Optimistic value,Queueing system
论文评审过程:Received 29 April 2019, Revised 17 February 2020, Accepted 11 April 2020, Available online 4 May 2020, Version of Record 4 May 2020.
论文官网地址:https://doi.org/10.1016/j.amc.2020.125309