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Massachusetts Institute of Technology

Locally computing edge orientations

Abstract

dc:description.abstract

We consider the question of orienting the edges in a graph 𝐺 such that every vertex has bounded out-degree. For graphs of arboricity 𝛼, there is an orientation in which every vertex has out-degree at most 𝛼, and moreover, this is the best possible. We are thus interested in algorithms that can achieve a maximum out-degree of close to 𝛼. A widely studied approach for this problem in the distributed algorithms setting is a “peeling algorithm” that provides an orientation with maximum out-degree 𝛼(2 + 𝜖) in a logarithmic number of iterations. We consider this problem in the local computation algorithm (LCA) model, which quickly answers queries of the form “What is the orientation of edge (𝑢, 𝑣)?” by probing the input graph. When the peeling algorithm is executed in the LCA setting by applying standard techniques, e.g., the Parnas-Ron paradigm, it requires Ω(𝑛) probes per query on an 𝑛-vertex graph. In the case where 𝐺 has unbounded degree, we show that any LCA which orients its edges to yield maximum out-degree 𝑟 must use Ω( √ 𝑛/𝑟) probes to 𝐺 per query in the worst case, even if 𝐺 is known to be a forest (that is, 𝛼 = 1). We also show several algorithms with sublinear probe complexity when 𝐺 has unbounded degree. When the maximum degree Δ of 𝐺 is bounded, we demonstrate an algorithm that uses [formulation] probes to 𝐺 per query. To obtain this result, we develop an edge-coloring approach that ultimately yields a graph shattering-like result. We also use this shattering-like result to demonstrate an LCA which can 4-color any tree using sublinear probes per query.

Degree

thesis:*
Name thesis:degree_name
Master
Department dc:contributor.department
Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science
Grantor dc:publisher
Massachusetts Institute of Technology
Year dc:date.issued
2023

Author and committee

dc:creator, dc:contributor.*
Author dc:creator
  • Singhal, Mihir
Advisor dc:contributor.advisor
  • Rubinfeld, Ronitt

Rights

dc:rights
Statement dc:rights
  • In Copyright - Educational Use Permitted
  • Copyright retained by author(s)

Identifiers

dc:identifier.*
Handle dc:identifier.uri
https://hdl.handle.net/1721.1/151520
OAI identifier oai:identifier
oai:dspace.mit.edu:1721.1/151520

Chain of custody

source
Harvested from
MIT
Base URL
dspace.mit.edu/oai/request
Last updated
2026-07-22
Source record
OAI-PMH GetRecord
related terms
citation

Singhal, Mihir. Locally computing edge orientations. Massachusetts Institute of Technology, 2023. https://hdl.handle.net/1721.1/151520