Measuring the impact of adversarial errors on packet scheduling strategies

Antonio Fernández Anta, Chryssis Georgiou, Dariusz R. Kowalski, Joerg Widmer, Elli Zavou

Research output: Chapter in Book/Report/Conference proceedingConference contribution

4 Scopus citations

Abstract

In this paper we explore the problem of achieving efficient packet transmission over unreliable links with worst case occurrence of errors. In such a setup, even an omniscient offline scheduling strategy cannot achieve stability of the packet queue, nor is it able to use up all the available bandwidth. Hence, an important first step is to identify an appropriate metric for measuring the efficiency of scheduling strategies in such a setting. To this end, we propose a relative throughput metric which corresponds to the long term competitive ratio of the algorithm with respect to the optimal. We then explore the impact of the error detection mechanism and feedback delay on our measure. We compare instantaneous error feedback with deferred error feedback, that requires a faulty packet to be fully received in order to detect the error. We propose algorithms for worst-case adversarial and stochastic packet arrival models, and formally analyze their performance. The relative throughput achieved by these algorithms is shown to be close to optimal by deriving lower bounds on the relative throughput of the algorithms and almost matching upper bounds for any algorithm in the considered settings. Our collection of results demonstrate the potential of using instantaneous feedback to improve the performance of communication systems in adverse environments.

Original languageEnglish (US)
Title of host publicationStructural Information and Communication Complexity - 20th International Colloquium, SIROCCO 2013, Revised Selected Papers
Pages261-273
Number of pages13
DOIs
StatePublished - Dec 1 2013
Externally publishedYes
Event20th International Colloquium on Structural Information and Communication Complexity, SIROCCO 2013 - Ischia, Italy
Duration: Jul 1 2013Jul 3 2013

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume8179 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference20th International Colloquium on Structural Information and Communication Complexity, SIROCCO 2013
CountryItaly
CityIschia
Period7/1/137/3/13

ASJC Scopus subject areas

  • Theoretical Computer Science
  • Computer Science(all)

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  • Cite this

    Anta, A. F., Georgiou, C., Kowalski, D. R., Widmer, J., & Zavou, E. (2013). Measuring the impact of adversarial errors on packet scheduling strategies. In Structural Information and Communication Complexity - 20th International Colloquium, SIROCCO 2013, Revised Selected Papers (pp. 261-273). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 8179 LNCS). https://doi.org/10.1007/978-3-319-03578-9_22