TY - GEN
T1 - EFX Feasible Scheduling for Time-dependent Resources
AU - Fang, Jiazhu
AU - Fang, Qizhi
AU - Li, Minming
AU - Liu, Wenjing
N1 - Publisher Copyright:
© 2025 International Joint Conferences on Artificial Intelligence. All rights reserved.
PY - 2025
Y1 - 2025
N2 - 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.
AB - 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.
UR - https://www.scopus.com/pages/publications/105021807820
U2 - 10.24963/ijcai.2025/426
DO - 10.24963/ijcai.2025/426
M3 - 会议稿件
AN - SCOPUS:105021807820
T3 - IJCAI International Joint Conference on Artificial Intelligence
SP - 3830
EP - 3838
BT - Proceedings of the 34th International Joint Conference on Artificial Intelligence, IJCAI 2025
A2 - Kwok, James
PB - International Joint Conferences on Artificial Intelligence
T2 - 34th Internationa Joint Conference on Artificial Intelligence, IJCAI 2025
Y2 - 16 August 2025 through 22 August 2025
ER -