Authors
Eric J Friedman, Vasilis Gkatzelis, Christos-Alexandros Psomas, Scott Shenker
Publication date
2019/7/17
Journal
Proceedings of the AAAI Conference on Artificial Intelligence
Volume
33
Issue
01
Pages
1965-1972
Description
A cache memory unit needs to be shared among n strategic agents. Each agent has different preferences over the files to be brought into memory. The goal is to design a mechanism that elicits these preferences in a truthful manner and outputs a fair and efficient memory allocation. A trivially truthful and fair solution would isolate each agent to a 1/n fraction of the memory. However, this could be very inefficient if the agents have similar preferences and, thus, there is room for cooperation. On the other hand, if the agents are not isolated, unless the mechanism is carefully designed, they have incentives to misreport their preferences and free ride on the files that others bring into memory. In this paper we explore the power and limitations of truthful mechanisms in this setting. We demonstrate that mechanisms blocking agents from accessing parts of the memory can achieve improved efficiency guarantees, despite the inherent inefficiencies of blocking.
Total citations
2020202120222023202422942
Scholar articles
EJ Friedman, V Gkatzelis, CA Psomas, S Shenker - Proceedings of the AAAI Conference on Artificial …, 2019