IJCAI 2022poster6 citations

An Efficient Approach to Data Transfer Scheduling for Long Range Space Exploration

Emmanuel Hebrard, Christian Artigues, Pierre Lopez, Arnaud Lusson, Steve Chien, Adrien Maillard, Gregg Rabideau

Abstract

Long range space missions, such as Rosetta, require robust plans of data-acquisition activities and of the resulting data transfers. In this paper we revisit the problem of assigning priorities to data transfers in order to maximize safety margin of onboard memory. We propose a fast sweep algorithm to verify the feasibility of a given priority assignment and we introduce an efficient exact algorithm to assign priorities on a single downlink window. We prove that the problem is NP-hard for several windows, and we propose several randomized heuristics to tackle the general case. Our experimental results show that the proposed approaches are able to improve the plans computed for the real mission by the previously existing method, while the sweep algorithm yields drastic accelerations.

Planning and Scheduling: ApplicationsPlanning and Scheduling: SchedulingPlanning and Scheduling: Search in Planning and SchedulingSearch: Heuristic Search
BibTeX
@inproceedings{ijcai2022p643,
  title     = {An Efficient Approach to Data Transfer Scheduling for Long Range Space Exploration},
  author    = {Hebrard, Emmanuel and Artigues, Christian and Lopez, Pierre and Lusson, Arnaud and Chien, Steve and Maillard, Adrien and Rabideau, Gregg},
  booktitle = {Proceedings of the Thirty-First International Joint Conference on
               Artificial Intelligence, {IJCAI-22}},
  publisher = {International Joint Conferences on Artificial Intelligence Organization},
  editor    = {Lud De Raedt},
  pages     = {4635--4641},
  year      = {2022},
  month     = {7},
  note      = {Main Track},
  doi       = {10.24963/ijcai.2022/643},
  url       = {https://doi.org/10.24963/ijcai.2022/643},
}
An Efficient Approach to Data Transfer Scheduling for Long Range Space Exploration · IJCAI 2022