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Local Queuing Under Contention

Authors Pawel Garncarek, Tomasz Jurdzinski, Dariusz R. Kowalski

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Author Details

Pawel Garncarek
  • Institute of Computer Science, University of Wroclaw, Poland
Tomasz Jurdzinski
  • Institute of Computer Science, University of Wroclaw, Poland
Dariusz R. Kowalski
  • Computer Science Department, University of Liverpool, Liverpool, UK

Funding

Supported by Polish National Science Center grant 2017/25/B/ST6/02010.

Cite AsGet BibTex

Pawel Garncarek, Tomasz Jurdzinski, and Dariusz R. Kowalski. Local Queuing Under Contention. In 32nd International Symposium on Distributed Computing (DISC 2018). Leibniz International Proceedings in Informatics (LIPIcs), Volume 121, pp. 28:1-28:18, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2018)
https://doi.org/10.4230/LIPIcs.DISC.2018.28

Abstract

We study stability of local packet scheduling policies in a distributed system of n nodes. The local policies at nodes may only access their local queues, and have no other feedback from the underlying distributed system. The packets arrive at queues according to arrival patterns controlled by an adversary restricted only by injection rate rho and burstiness b. In this work, we assume that the underlying distributed system is a shared channel, in which in order to get rid of a packet from the queue, a node needs to schedule it for transmission on the channel and no other packet is scheduled for transmission at the same time. We show that there is a local adaptive scheduling policy with relatively small memory, which is universally stable on a shared channel, that is, it has bounded queues for any rho<1 and b >= 0. On the other hand, without memory the maximal stable injection rate is O(1/log n). We show a local memoryless (non-adaptive) scheduling policy based on novel idea of ultra strong selectors which is stable for slightly smaller injection c/log^2 n, for some constant c>0.

Subject Classification

ACM Subject Classification
  • Theory of computation → Distributed algorithms
Keywords
  • Distributed algorithms
  • local queuing
  • shared channel
  • multiple-access channel
  • adversarial packet arrivals
  • stability
  • deterministic algorithms

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