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题名The efficiency of Nash equilibria in the load balancing game with a randomizing scheduler
作者
发表日期2020-10-24
发表期刊Theoretical Computer Science
ISSN/eISSN0304-3975
卷号838页码:180-194
摘要

We study the efficiency of Nash equilibria for the load balancing game with a randomizing scheduler. In the game, we are given a set of facilities and a set of players along with a scheduler, where each facility is associated with a linear cost function, and the players are randomly ordered by the scheduler. Each player chooses exactly one of these facilities to fulfill his task, which incurs to him a cost depending on not only the cost function of the facility he chooses and the players who choose the same facility (as in a usual load balancing game), but also his uncertain position in the uniform random ordering. From an individual perspective, each player tries to choose a facility for optimizing his own objective that is determined by a certain decision-making principle. From a system perspective, it is desirable to minimize the maximum cost among all players, which is a commonly used criterion for load balancing. We estimate the price of anarchy and price of stability for this class of load balancing games under uncertainty, provided all players follow one of the four decision-making principles, namely the bottom-out, win-or-go-home, minimum-expected-cost, and minimax-regret principles. Our results show that the efficiency loss of Nash equilibria in these decentralized environments heavily rely on player's attitude toward the uncertainty.

关键词Decision-making principle Load balancing game Nash equilibrium Price of anarchy Price of stability
DOI10.1016/j.tcs.2020.07.024
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收录类别SCIE
语种英语English
WOS研究方向Computer Science
WOS类目Computer Science, Theory & Methods
WOS记录号WOS:000566368800014
Scopus入藏号2-s2.0-85088865562
引用统计
被引频次:3[WOS]   [WOS记录]     [WOS相关记录]
文献类型期刊论文
条目标识符https://repository.uic.edu.cn/handle/39GCC9TT/9235
专题个人在本单位外知识产出
通讯作者Wu, Xiaoying
作者单位
1.Academy of Mathematics and Systems Science,Chinese Academy of Sciences,Beijing,100190,China
2.School of Mathematical Sciences,University of Chinese Academy of Sciences,Beijing,100049,China
3.City University of Hong Kong,Hong Kong
推荐引用方式
GB/T 7714
Chen, Xujin,Hu, Xiaodong,Wang, Chenhaoet al. The efficiency of Nash equilibria in the load balancing game with a randomizing scheduler[J]. Theoretical Computer Science, 2020, 838: 180-194.
APA Chen, Xujin, Hu, Xiaodong, Wang, Chenhao, & Wu, Xiaoying. (2020). The efficiency of Nash equilibria in the load balancing game with a randomizing scheduler. Theoretical Computer Science, 838, 180-194.
MLA Chen, Xujin,et al."The efficiency of Nash equilibria in the load balancing game with a randomizing scheduler". Theoretical Computer Science 838(2020): 180-194.
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