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Of kernels and queues: when network calculus meets analytic combinatorics

  • Anne Bouillard
  • , Céline Comte
  • , Élie de Panafieu
  • , Fabien Mathieu

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review

Abstract

Stochastic network calculus is a tool for computing error bounds on the performance of queueing systems. However, deriving accurate bounds for networks consisting of several queues or subject to non-independent traffic inputs is challenging. In this paper, we investigate the relevance of the tools from analytic combinatorics, especially the kernel method, to tackle this problem. Applying the kernel method allows us to compute the generating functions of the queue state distributions in the stationary regime of the network. As a consequence, error bounds with an arbitrary precision can be computed. In this preliminary work, we focus on simple examples which are representative of the difficulties that the kernel method allows us to overcome.

Original languageEnglish
Title of host publicationProceedings of the 2018 International Workshop on Network Calculus and Applications, NetCal2018 - Co-located with the 30th International Teletraffic Congress, ITC 2018 and 1st International Conference in Networking Science and Practice
EditorsGiuseppe Bianchi, Thomas Zinner, Eitan Altman
Place of PublicationPiscataway
PublisherInstitute of Electrical and Electronics Engineers
Pages49-54
Number of pages6
ISBN (Electronic)978-0-9883045-5-0
DOIs
Publication statusPublished - 15 Oct 2018
Externally publishedYes
Event2018 International Workshop on Network Calculus and Applications, NetCal2018 - Vienna, Austria
Duration: 7 Sept 2018 → …

Conference

Conference2018 International Workshop on Network Calculus and Applications, NetCal2018
Country/TerritoryAustria
CityVienna
Period7/09/18 → …

Keywords

  • Analytic combinatorics
  • Kernel method
  • Network Calculus
  • analytic combinatorics
  • kernel method

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