Minimizing Queue Length Regret Under Adversarial Network Models
Author:
Affiliation:
1. Massachusetts Institute of Technology, Cambridge, MA, USA
Funder
National Science Foundation
DARPA I2O and Raytheon BBN Technologies
Publisher
Association for Computing Machinery (ACM)
Subject
Computer Networks and Communications,Hardware and Architecture,Software
Reference8 articles.
1. Matthew Andrews, Kyomin Jung, and Alexander Stolyar. 2007. Stability of the Max-weight Routing and Scheduling Protocol in Dynamic Networks and at Critical Loads. In Proceedings of the Thirty-ninth Annual ACM Symposium on Theory of Computing (STOC '07). ACM, 145--154.
2. M. Andrews and L. Zhang. 2002. Scheduling over a time-varying user-dependent channel with applications to high speed wireless data. In The 43rd Annual IEEE Symposium on Foundations of Computer Science, 2002. Proceedings. 293--302. https: //doi.org/10.1109/SFCS.2002.1181952
3. M. Andrews and L. Zhang. 2006. Scheduling Over Nonstationary Wireless Channels With Finite Rate Sets. IEEE/ACM Transactions on Networking 14, 5 (Oct 2006), 1067--1077. https://doi.org/10.1109/TNET.2006.882835
4. Qingkai Liang and Eytan Modiano. 2018. Minimizing Queue Length Regret Under Adversarial Network Models. Proceedings of the ACM on Measurement and Analysis of Computing Systems 2, 1 (2018), 11.
5. Sungsu Lim, Kyomin Jung, and Matthew Andrews. 2014. Stability of the Maxweight Protocol in Adversarial Wireless Networks. IEEE/ACM Trans. Netw. 22, 6 (Dec. 2014), 1859--1872.
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1. When Lyapunov Drift Based Queue Scheduling Meets Adversarial Bandit Learning;IEEE/ACM Transactions on Networking;2024-08
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