Induced idleness leads to deterministic heavy traffic limits for queue-based random-access algorithms

Eyal Castiel (Corresponding author), Sem Borst, Laurent Miclo, Florian Simatos, Phil Whiting

Onderzoeksoutput: Bijdrage aan tijdschriftTijdschriftartikelAcademicpeer review

5 Citaten (Scopus)

Samenvatting

We examine a queue-based random-access algorithm where activation and deactivation rates are adapted as functions of queue lengths. We establish its heavy traffic behavior on a complete interference graph, which turns out to be nonstandard in two respects: (1) the scaling depends on some parameter of the algorithm and is not the N/N2 scaling usually found in functional central limit theorems; (2) the heavy traffic limit is deterministic. We discuss how this nonstandard behavior arises from the idleness induced by the distributed nature of the algorithm. In order to prove our main result, we develop a new method for obtaining a fully coupled stochastic averaging principle.

Originele taal-2Engels
Pagina's (van-tot)941-971
Aantal pagina's31
TijdschriftAnnals of Applied Probability
Volume31
Nummer van het tijdschrift2
DOI's
StatusGepubliceerd - apr. 2021

Bibliografische nota

Funding Information:
Acknowledgments. Authors are listed in alphabetical order except for the first one who is the main contributor. Laurent Miclo acknowledges funding from the French National Research Agency (ANR) under the Investments for the Future (Investissements d’Avenir) program, Grant ANR-17-EURE-0010.

Publisher Copyright:
© Institute of Mathematical Statistics, 2021.

Financiering

Acknowledgments. Authors are listed in alphabetical order except for the first one who is the main contributor. Laurent Miclo acknowledges funding from the French National Research Agency (ANR) under the Investments for the Future (Investissements d’Avenir) program, Grant ANR-17-EURE-0010.

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