KMS Of Academy of mathematics and systems sciences, CAS
| The efficiency of Nash equilibria in the load balancing game with a randomizing scheduler | |
Chen, Xujin1,2 ; Hu, Xiaodong1,2; Wang, Chenhao1,2,3; Wu, Xiaoying1,2
| |
| 2020-10-24 | |
| Source Publication | THEORETICAL COMPUTER SCIENCE
 |
| ISSN | 0304-3975 |
| Volume | 838Pages:180-194 |
| Abstract | 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. (C) 2020 Elsevier B.V. All rights reserved. |
| Keyword | Load balancing game Price of anarchy Price of stability Decision-making principle Nash equilibrium |
| DOI | 10.1016/j.tcs.2020.07.024 |
| Indexed By | SCI |
| Language | 英语 |
| Funding Project | MOST of China[2018AAA0101002] ; NNSF of China[11531014] ; CAS[ZDBS-LY7008] |
| WOS Research Area | Computer Science |
| WOS Subject | Computer Science, Theory & Methods |
| WOS ID | WOS:000566368800014 |
| Publisher | ELSEVIER |
| Citation statistics | |
| Document Type | 期刊论文 |
| Identifier | http://ir.amss.ac.cn/handle/2S8OKBNM/52082 |
| Collection | 应用数学研究所 |
| Corresponding Author | Wu, Xiaoying |
| Affiliation | 1.Chinese Acad Sci, Acad Math & Syst Sci, Beijing 100190, Peoples R China 2.Univ Chinese Acad Sci, Sch Math Sci, Beijing 100049, Peoples R China 3.City Univ Hong Kong, Hong Kong, Peoples R China |
| Recommended Citation GB/T 7714 | Chen, Xujin,Hu, Xiaodong,Wang, Chenhao,et 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. |
| Files in This Item: | There are no files associated with this item. | |||||
Items in the repository are protected by copyright, with all rights reserved, unless otherwise indicated.
Edit Comment