← 研踪 PaperTrailarXiv:2611.17083 · v1
List Update with Time Windows and Delays without Batch-Serving
首次提交 2026-11-13 00:50
版本更新 2026-11-13 00:50
雷达观测 2026-11-13 14:15
摘要
We study list update with time windows and delays when every request requires a separate access. Unlike batch-serving models, serving several requests to one element still incurs one access per request, and each access may change the list for subsequent requests. For time windows of overlap at most , our deterministic First-Element Removal algorithm is -competitive, hence -competitive in general. Against an oblivious adversary, a randomized adaptation of BIT is -competitive on arbitrary -overlap inputs. More generally, on inputs without self-overlap, it is -competitive for every . For delays, we give a deterministic -competitive algorithm and a lower bound of for deterministic delay-unaware algorithms. Our analyses extend inversion potentials with per-request credits that reconcile different service times and orders.
观测到的版本
相邻记录可能跳过中间版本;首次发现 v2 及以上也会标为版本更新。
v1 · 2026-11-13 00:50 · 最新观测版本
List Update with Time Windows and Delays without Batch-Serving
We study list update with time windows and delays when every request requires a separate access. Unlike batch-serving models, serving several requests to one element still incurs one access per request, and each access may change the list for subsequent requests. For time windows of overlap at most , our deterministic First-Element Removal algorithm is -competitive, hence -competitive in general. Against an oblivious adversary, a randomized adaptation of BIT is -competitive on arbitrary -overlap inputs. More generally, on inputs without self-overlap, it is -competitive for every . For delays, we give a deterministic -competitive algorithm and a lower bound of for deterministic delay-unaware algorithms. Our analyses extend inversion potentials with per-request credits that reconcile different service times and orders.
查看此版本解读 →查看此版本原文 ↗