Research output per year
Research output per year
José R. Correa^{*}, Andrés Cristi^{*}, Tim Oosterwijk^{*}
Research output: Contribution to journal › Article › Academic › peer-review
Dynamic network flows, or network flows over time, constitute an important model for real-world situations in which steady states are unusual, such as urban traffic and the internet. These applications immediately raise the issue of analyzing dynamic network flows from a game-theoretic perspective. In this paper, we study dynamic equilibria in the deterministic fluid queuing model in single-source, single-sink networks—arguably the most basic model for flows over time. In the last decade, we have witnessed significant developments in the theoretical understanding of the model. However, several fundamental questions remain open. One of the most prominent ones concerns the price of anarchy, measured as the worst-case ratio between the minimum time required to route a given amount of flow from the source to the sink and the time a dynamic equilibrium takes to perform the same task. Our main result states that, if we could reduce the inflow of the network in a dynamic equilibrium, then the price of anarchy is bounded by a factor, parameterized by the longest path length that converges to e=(e - 1), and this is tight. This significantly extends a result by Bhaskar et al. (SODA 2011). Furthermore, our methods allow us to determine that the price of anarchy in parallel-link and parallel-path networks is exactly 4/3. Finally, we argue that, if a certain, very natural, monotonicity conjecture holds, the price of anarchy in the general case is exactly e=(e - 1).
Original language | English |
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Pages (from-to) | 847-1705 |
Number of pages | 24 |
Journal | Mathematics of Operations Research |
Volume | 47 |
Issue number | 2 |
Early online date | 2021 |
DOIs | |
Publication status | Published - May 2022 |
Oosterwijk, T. (Creator), Maastricht University, 2020
https://drive.google.com/open?id=1BTxc7J4I0uS1mg-lBcgT8BlPCCd-8abB and one more link, https://drive.google.com/open?id=1Rp_brX85lDr0ndrG1Fdw-e6EoOqSZeJy (show fewer)
Dataset/Software: Dataset
Research output: Chapter in Book/Report/Conference proceeding › Conference article in proceeding › Academic › peer-review