Network Economics and Stochastic Analysis
earning more or paying less, and original study on information freshness
Network economics provides profound insights into the interactions among self-interested agents within networking systems. The information age, also known as the “Age of Information” or “Information Freshness”, represents a crucial metric for quantifying the service quality of information flow in communication networks.
Selected Papers
[Mobihoc 2019/ArXiv 2010] Forever Young: Aging Control for Smartphones in Hybrid Networks
Eitan Altman, Rachid El-azouzi, Daniel Sadoc Menasche, Yuedong Xu (alphabetic ranking)
ACM Mobihoc 2019/ArXiv 2010. (Released online in 2010, one of the pioneering papers in this field)
An initiative study on defining information age and formulating an optimization framework in 2010.
[ToN 2019] On The Robustness of Price-Anticipating Kelly Mechanism
Yuedong Xu, Zhujun Xiao, Tianyu Ni, Hui Wang, Xin Wang and Eitan Altman
IEEE/ACM Trans. Networking, 2019.
Understanding the price of anarchy for Kelly mechanism or Tullock contest model when selfish but benign players coexist with malicious players.
[TIFS 2023/ICC 2019] Blockchain Mining with Multiple Selfish Miners
Qianlan Bai, Yuedong Xu*, Nianyi Liu, Xin Wang
IEEE Trans. Information Forensics & Security, 2023. (well cited)
Understanding the fundamental reason that Bitcoin selfish mining under the Proof-of-Work (PoW) is profitable, and analyzing the profitable threshold of selfish mining when multiple selfish miners coexist with honest miners.
[ToN 2013] Predicting the Impact of Measures Against P2P Networks: Transient Behavior and Phase Transition
Eitan Altman, Philippe Nain, Adam Shwartz and Yuedong Xu*
IEEE/ACM Trans. Networking, 2013.
Using branching process and mean field theory to analyze the content availability in Internet and P2P systems. (Trying to model the question "whether Internet has memory?")
[TNSE 2023] Understanding the Benefit of Being Patient in Payment Channel Networks
Qianlan Bai, Yuedong Xu, Xin Wang
IEEE Trans. Network Science and Engineering, 2022.
Reducing the overall transanction fee charged by payment channels if the transactions can be reshuffled in blockchain.