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EFX Feasible Scheduling for Time-dependent Resources

  • Jiazhu Fang
  • , Qizhi Fang
  • , Minming Li*
  • , Wenjing Liu
  • *此作品的通讯作者
  • Ocean University of China
  • City University of Hong Kong

科研成果: 书/报告/会议事项章节会议稿件同行评审

摘要

In this paper, we study a fair resource scheduling problem involving the assignment of a set of interval jobs among a group of heterogeneous machines. Each job is associated with a release time, a deadline, and a processing time. A machine can process a job if the entire processing period falls within the release time and deadline of the job. Each machine can process at most one job at any given time, and different jobs yield different utilities for the machine. The goal is to find a fair and efficient schedule of the jobs. We discuss the compatibility between envy-freeness up to any item (EFX) and various efficiency concepts. Additionally, we present polynomial-time algorithms for various settings.

源语言英语
主期刊名Proceedings of the 34th International Joint Conference on Artificial Intelligence, IJCAI 2025
编辑James Kwok
出版商International Joint Conferences on Artificial Intelligence
3830-3838
页数9
ISBN(电子版)9781956792065
DOI
出版状态已出版 - 2025
已对外发布
活动34th Internationa Joint Conference on Artificial Intelligence, IJCAI 2025 - Montreal, 加拿大
期限: 16 8月 202522 8月 2025

丛书

姓名IJCAI International Joint Conference on Artificial Intelligence
ISSN(印刷版)1045-0823

会议

会议34th Internationa Joint Conference on Artificial Intelligence, IJCAI 2025
国家/地区加拿大
Montreal
时期16/08/2522/08/25

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