The Price of Anarchy for Selfish Ring Routing is Two
Xujin Chen, Benjamin Doerr, Xiaodong Hu, Weidong Ma, Rob van Stee,, Carola Winzen

TL;DR
This paper establishes that in selfish ring routing with linear link latencies, the worst-case inefficiency (price of anarchy) for maximum latency is exactly two, providing a precise bound for this social cost measure.
Contribution
It proves a tight upper bound of two on the price of anarchy for maximum latency in selfish ring routing with linear latencies, a previously less understood social cost.
Findings
Price of anarchy is at most two for the maximum latency in the specified setting.
The bound of two is tight, meaning it cannot be improved.
First sharp bound for the maximum latency social cost in this context.
Abstract
We analyze the network congestion game with atomic players, asymmetric strategies, and the maximum latency among all players as social cost. This important social cost function is much less understood than the average latency. We show that the price of anarchy is at most two, when the network is a ring and the link latencies are linear. Our bound is tight. This is the first sharp bound for the maximum latency objective.
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsGame Theory and Applications · Opinion Dynamics and Social Influence · Complex Network Analysis Techniques
