7 citations · 14 across the 7 of their papers we have counts for
7 papers
Learning-augmented Online Minimization of Age of Information and Transmission Costs
Zhongdong Liu, Keyuan Zhang, Bin Li +3
We consider a discrete-time system where a resource-constrained source (e.g., a small sensor) transmits its time-sensitive data to a destination over a time-varying wireless channe…
Learning-augmented Online Algorithm for Two-level Ski-rental Problem
Keyuan Zhang, Zhongdong Liu, Nakjung Choi +1
In this paper, we study the two-level ski-rental problem,where a user needs to fulfill a sequence of demands for multiple items by choosing one of the three payment options: paying…
A Worst-Case Approximate Analysis of Peak Age-of-Information Via Robust Queueing Approach
Zhongdong Liu, Yu Sang, Bin Li +1
A new timeliness metric, called Age-of-Information (AoI), has recently attracted a lot of research interests for real-time applications with information updates. It has been extens…
Towards Optimal Tradeoff Between Data Freshness and Update Cost in Information-update Systems
Zhongdong Liu, Bin Li, Zizhan Zheng +2
In this paper, we consider a discrete-time information-update system, where a service provider can proactively retrieve information from the information source to update its data a…
Anti-Aging Scheduling in Single-Server Queues: A Systematic and Comparative Study
Zhongdong Liu, Liang Huang, Bin Li +1
The Age-of-Information (AoI) is a new performance metric recently proposed for measuring the freshness of information in information-update systems. In this work, we conduct a syst…
Waiting but not Aging: Optimizing Information Freshness Under the Pull Model
Fengjiao Li, Yu Sang, Zhongdong Liu +3
The Age-of-Information is an important metric for investigating the timeliness performance in information-update systems. In this paper, we study the AoI minimization problem under…
Towards the Tradeoff Between Service Performance and Information Freshness
Zhongdong Liu, Bo Ji
The last decade has witnessed an unprecedented growth in the demand for data-driven real-time services. These services are fueled by emerging applications that require rapidly inje…