Solving Sequential Greedy Problems Distributedly with Sub-Logarithmic Energy Cost

We study the awake complexity of graph problems that belong to the class O-LOCAL, which includes a subset of problems solvable by sequential greedy algorithms, such as (Δ + 1)-coloring and maximal independent set. It is known from previous work that, in n-node graphs of maximum degree Δ, any problem in the class O-LOCAL can be solved by a deterministic distributed algorithm with awake complexity O (log Δ + log* n).

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Published
2025-06-13
DOI
https://doi.org/10.1145/3732772.3733499
Primary Topic
Complexity and Algorithms in Graphs
Type
article
Field-Weighted Citation Impact
0.00

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article

Solving Sequential Greedy Problems Distributedly with Sub-Logarithmic Energy Cost

Alkida Balliu, Mikaël Rabie, Dennis Olivetti, Pierre Fraigniaud
Complexity and Algorithms in Graphs
article

Solving Sequential Greedy Problems Distributedly with Sub-Logarithmic Energy Cost

Alkida Balliu, Mikaël Rabie, Dennis Olivetti, Pierre Fraigniaud
article en

Abstract

We study the awake complexity of graph problems that belong to the class O-LOCAL, which includes a subset of problems solvable by sequential greedy algorithms, such as (Δ + 1)-coloring and maximal independent set. It is known from previous work that, in n-node graphs of maximum degree Δ, any problem in the class O-LOCAL can be solved by a deterministic distributed algorithm with awake complexity O (log Δ + log* n).

Centre National de la Recherche Scientifique (FR), Université Paris Cité (FR), Sorbonne Paris Cité (FR), Gran Sasso Science Institute (IT)
Agence Nationale de la Recherche, Ministero dell’Istruzione, dell’Università e della Ricerca
Affordable and clean energy
Openalex Percentile: Top 85%
Complexity and Algorithms in Graphs
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