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Measuring the Impact of Adversarial Errors on Packet Scheduling Strategies

Fernández Anta, Antonio and Georgiou, Chryssis and Kowalski, Dariusz R. and Widmer, Joerg and Zavou, Elli (2013) Measuring the Impact of Adversarial Errors on Packet Scheduling Strategies. In: The 20th International Colloquium on Structural Information and Communication Complexity (SIROCCO 2013), 1 - 3 July 2013, Ischia, Italy.

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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.

Item Type: Conference or Workshop Papers (Paper)
Subjects: Q Science > Q Science (General)
Q Science > QA Mathematics > QA75 Electronic computers. Computer science
T Technology > T Technology (General)
T Technology > TA Engineering (General). Civil engineering (General)
T Technology > TK Electrical engineering. Electronics Nuclear engineering
Divisions: Faculty of Engineering, Science and Mathematics > School of Electronics and Computer Science
Depositing User: Elli Zavou
Date Deposited: 28 Jun 2013 10:59
Last Modified: 03 Mar 2014 08:58
URI: http://eprints.networks.imdea.org/id/eprint/530

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