Distributed submodular maximization

  • Andrew Clark
  • , Basel Alomair
  • , Linda Bushnell
  • , Radha Poovendran

Research output: Chapter in Book/Report/Conference proceedingChapterpeer-review

1 Scopus citations

Abstract

Networked systems are often deployed over a wide area without any centralized managing authority, and rely on distributed coordination among resource-constrained nodes. This chapter presents distributed algorithms for submodular maximization, including distributed implementations of greedy and exchange-based local search algorithms. The optimality guarantees and performance of each scheme are analyzed and compared to the best centralized algorithms. Techniques for submodular maximization by multiple parallel processors, as in a cloud computing scenario, are also discussed.

Original languageEnglish
Title of host publicationCommunications and Control Engineering
PublisherSpringer International Publishing
Pages41-53
Number of pages13
Edition9783319269757
DOIs
StatePublished - 2016

Publication series

NameCommunications and Control Engineering
Number9783319269757
ISSN (Print)0178-5354
ISSN (Electronic)2197-7119

Keywords

  • Covariance

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