Operations Research Transactions ›› 2022, Vol. 26 ›› Issue (3): 109-119.doi: 10.15960/j.cnki.issn.1007-6093.2022.03.008

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Tight Price of Anarchy for selfish task scheduling on two selfish machines

Xiayan CHENG1, Yin HE2, Congcong ZHAO2, Rongheng LI2,*()   

  1. 1. Hunan First Normal University, Changsha 410205, Hunan, China
    2. Key Laboratory of High Performance Computing and Stochastic Information Processing, Department of Mathematics, Hunan Normal University, Changsha 410081, Hunan, China
  • Received:2022-01-28 Online:2022-09-15 Published:2022-09-07
  • Contact: Rongheng LI E-mail:lirongheng@hunnu.edu.cn
  • About author:LI Rongheng, E-mail: lirongheng@hunnu.edu.cn
  • Supported by:
    National Natural Science Foundation of China(11471110);Scientific Research Foundation Grant of Education Department of Hunan(16A126)

Abstract:

In this paper, we study selfish task scheduling on two selfish machines with respect to Dual Equilibrium, called Dual Equilibrium Schedule. For any job list $L$, we show that the Price of Anarchy of Dual Equilibrium Schedule is $\frac{8}{7}$. If the job sizes are constrained in $[1, r](r\ge1)$, this research states that the tight PoA(Price of Anarchy) of Dual Equilibrium Schedule is a piecewise linear function of $r$.

Key words: selfish machines, scheduling, tight bound, Nash equilibrium

CLC Number: