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-2 | Engels |
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Pagina's (van-tot) | 941-971 |
Aantal pagina's | 31 |
Tijdschrift | Annals of Applied Probability |
Volume | 31 |
Nummer van het tijdschrift | 2 |
DOI's | |
Status | Gepubliceerd - 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.