Contract Scheduling With Predictions

Authors

  • Spyros Angelopoulos Centre National de la Recherche Scientifique (CNRS) Sorbonne Universit√©, Laboratoire d'informatique de Paris 6, LIP6, Paris, France
  • Shahin Kamali University of Manitoba, Winnipeg, Manitoba, Canada

Keywords:

Scheduling under Uncertainty, Scheduling, Planning under Uncertainty

Abstract

Contract scheduling is a general technique that allows to design a system with interruptible capabilities, given an algorithm that is not necessarily interruptible. Previous work on this topic has largely assumed that the interruption is a worst-case deadline that is unknown to the scheduler. In this work, we study the setting in which there is a potentially erroneous prediction concerning the interruption. Specifically, we consider the setting in which the prediction describes the time that the interruption occurs, as well as the setting in which the prediction is obtained as a response to a single or multiple binary queries. For both settings, we investigate tradeoffs between the robustness (i.e., the worst-case performance assuming adversarial prediction) and the consistency (i.e, the performance assuming that the prediction is error-free), both from the side of positive and negative results.

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Published

2021-05-18

How to Cite

Angelopoulos, S., & Kamali, S. (2021). Contract Scheduling With Predictions. Proceedings of the AAAI Conference on Artificial Intelligence, 35(13), 11726-11733. Retrieved from https://ojs.aaai.org/index.php/AAAI/article/view/17394

Issue

Section

AAAI Technical Track on Planning, Routing, and Scheduling