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Contention resolution with constant throughput and log-logstar channel accesse

  • University of Michigan, Ann Arbor
  • Mississippi State University

Research output: Contribution to journalArticlepeer-review

16 Scopus citations

Abstract

For decades, randomized exponential backoff has provided a critical algorithmic building block in situations where multiple devices seek access to a shared resource. Despite this history, the performance of standard exponential backoff is poor under worst-case scheduling of demands on the resource: (i) subconstant throughput can occur under plausible scenarios, and (ii) each of N devices requires Ω(log N) access attempts before obtaining the resource. In this paper, we address these shortcomings by offering a new backoff protocol for a shared communication channel that guarantees expected constant throughput with only O(log(log N)) channel accesses in expectation, even when packet arrivals are scheduled by an adversary. Central to this result are new algorithms for approximate counting and leader election with the same performance guarantees.

Original languageEnglish
Pages (from-to)1735-1754
Number of pages20
JournalSIAM Journal on Computing
Volume47
Issue number5
DOIs
StatePublished - 2018

Keywords

  • Adversarial scheduling
  • Algorithms
  • Contention resolution
  • Distributed computing
  • Throughput
  • Wireless networks

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