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Math @ Duke
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Publications [#329791] of Rong Ge
Papers Published
- Azar, Y; Ganesh, A; Ge, R; Panigrahi, D, Online service with delay,
Proceedings of the Annual ACM Symposium on Theory of Computing, vol. Part F128415
(June, 2017),
pp. 551-563, ACM Press, ISBN 9781450345286 [doi]
(last updated on 2026/01/19)
Abstract: In this paper, we introduce the online service with delay problem. In this problem, there are n points in a metric space that issue service requests over time, and a server that serves these requests. The goal is to minimize the sum of distance traveled by the server and the total delay (or a penalty function thereof) in serving the requests. This problem models the fundamental tradeoff between batching requests to improve locality and reducing delay to improve response time, that has many applications in operations management, operating systems, logistics, supply chain management, and scheduling. Our main result is to show a poly-logarithmic competitive ratio for the online service with delay problem. This result is obtained by an algorithm that we call the preemptive service algorithm. The salient feature of this algorithm is a process called preemptive service, which uses a novel combination of (recursive) time forwarding and spatial exploration on a metric space. We also generalize our results to k > 1 servers, and obtain stronger results for special metrics such as uniform and star metrics that correspond to (weighted) paging problems.
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