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Arnaud Lusson

dblp:325/1218 · DBLP profile ↗
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1ranked-venue papers
0as first author
1since 2021 · last 2022
—ORCID · none

Domains — the database's venue-derived domains; a paper can count in several

Artificial intelligence and machine learning · 1 · 1 since 2021Graphics, computer vision, multimedia, augmented reality and games · 1 · 1 since 2021

Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.

Computer architecture, parallel and distributed computing, and storage systems
1 paper
Distributed systems · 100%
Theoretical computer science
1 paper
Mathematical optimization · 100%

Topics — the 2 heaviest of 2, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Distributed systems › distributed scheduling
data transfer scheduling
0.612022
An Efficient Approach to Data Transfer Scheduling for Long Range Space Exploration · IJCAI 2022
Mathematical optimization
scheduling
0.212022
An Efficient Approach to Data Transfer Scheduling for Long Range Space Exploration · IJCAI 2022

Methods — techniques the papers use, named apart from their topics

sweep algorithm · 1.1randomized heuristics · 1.1
YearPublicationVenuePosition
2022 An Efficient Approach to Data Transfer Scheduling for Long Range Space Exploration
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.
Emmanuel Hebrard, Christian Artigues, Pierre Lopez 0001, Arnaud Lusson, Steve A. Chien, Adrien Maillard, Gregg R. Rabideau
IJCAI4