Dynamic Proportional Sharing

Author:

Freeman Rupert1,Zahedi Seyed Majid1,Conitzer Vincent1,Lee Benjamin C.1

Affiliation:

1. Duke University, Durham, NC, USA

Abstract

Sharing computational resources amortizes cost and improves utilization and efficiency. When agents pool their resources, each becomes entitled to a portion of the shared pool. Static allocations in each round can guarantee entitlements and are strategy-proof, but efficiency suffers because allocations do not reflect variations in agents' demands for resources across rounds. Dynamic allocation mechanisms assign resources to agents across multiple rounds while guaranteeing agents their entitlements. Designing dynamic mechanisms is challenging, however, when agents are strategic and can benefit by misreporting their demands for resources. In this paper, we show that dynamic allocation mechanisms based on max-min fail to guarantee entitlements, strategy-proofness or both. We propose the flexible lending (FL) mechanism and show that it satisfies strategy-proofness and guarantees at least half of the utility from static allocations while providing an asymptotic efficiency guarantee. Our simulations with real and synthetic data show that the performance of the flexible lending mechanism is comparable to that of state-of-the-art mechanisms, providing agents with at least 0.98x, and on average 15x, of their utility from static allocations. Finally, we propose the T -period mechanism and prove that it satisfies strategy-proofness and guarantees entitlements for T łe 2.

Funder

National Science Foundation

Publisher

Association for Computing Machinery (ACM)

Subject

Computer Networks and Communications,Hardware and Architecture,Software

Reference32 articles.

1. Trust, Reciprocity, and Favors in Cooperative Relationships

2. Martin Aleksandrov Haris Aziz Serge Gaspers and Toby Walsh. 2015. Online Fair Division: Analysing a Food Bank Problem Proceedings of the 24th International Joint Conference on Artificial Intelligence (IJCAI). 2540--2546. Martin Aleksandrov Haris Aziz Serge Gaspers and Toby Walsh. 2015. Online Fair Division: Analysing a Food Bank Problem Proceedings of the 24th International Joint Conference on Artificial Intelligence (IJCAI). 2540--2546.

3. Optimal Collusion with Private Information

4. The Case for Energy-Proportional Computing

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3