Online Distributed Queue Length Estimation

April 25, 2025 Β· Declared Dead Β· πŸ› Conference on Applied and Computational Discrete Algorithms

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Authors Aditya Bhaskara, Sreenivas Gollapudi, Sungjin Im, Kostas Kollias, Kamesh Munagala arXiv ID 2504.18503 Category cs.DS: Data Structures & Algorithms Citations 0 Venue Conference on Applied and Computational Discrete Algorithms Last Checked 5 months ago
Abstract
Queue length monitoring is a commonly arising problem in numerous applications such as queue management systems, scheduling, and traffic monitoring. Motivated by such applications, we formulate a queue monitoring problem, where there is a FIFO queue with arbitrary arrivals and departures, and a server needs to monitor the length of a queue by using decentralized pings from packets in the queue. Packets can send pings informing the server about the number of packets ahead of them in the queue. Via novel online policies and lower bounds, we tightly characterize the trade-off between the number of pings sent and the accuracy of the server's real time estimates. Our work studies the trade-off under various arrival and departure processes, including constant-rate, Poisson, and adversarial processes.
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