Cited by 60Advanced Queuing Theory AnalysisProbability and Risk ModelsReliability and Maintenance Optimization

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Asymptotic Behavior of Total Times for Jobs That Must Start Over if a Failure Occurs

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Asmussen, Søren, Fiorini, Pierre, Lipsky, Lester, Rolski, Tomasz, Sheahan, Robert·2008·Mathematics of Operations Research

Abstract

Many processes must complete in the presence of failures. Different systems respond to task failure in different ways. The system may resume a failed task from the failure point (or a saved checkpoint shortly before the failure point), it may give up on the task and select a replacement task from the ready queue, or it may restart the task. The behavior of systems under the first two scenarios is well documented, but the third (RESTART) has resisted detailed analysis. In this paper we derive tight asymptotic relations between the distribution of task times without failures and the total time when including failures, for any failure distribution. In particular, we show that if the task-time distribution has an unbounded support, then the total-time distribution H is always heavy tailed. Asymptotic expressions are given for the tail of H in various scenarios. The key ingredients of the analysis are the Cramér–Lundberg asymptotics for geometric sums and integral asymptotics, which in some cases are obtained via Tauberian theorems and in some cases by barehand calculations.

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  • The generic channel with failures model results in power law distributions when the distributions of L and A have a matrix exponential representation.

    “It was first recognized in [6] that this model results in power law distributions when the distributions of L ≡ L ∞ and A have a matrix exponential representation, and this result was rigorously proved and further generalized in [3], [11], and [16].”

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Research works printed but not linked: 23

  1. Andersen L. N., 2008, J. Statist. Theory Appl.
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  3. Asmussen S., 2003, Applied Probability and Queues
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  13. Jelenković P., 2007, Workshop of Transient and Asymptotic Analysis of Queues
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  16. Kartashov N. V., 1982, Teor. Veoryuatnost. i Mat. Statist., 27, 51
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  19. Lipsky L., 2007, Queueing Theory. A Linear Algebraic Approach
  20. Müller A., 2002, Comparison Methods for Stochastic Models and Risks
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Metadata

Authors
Asmussen, S., Fiorini, P., Lipsky, L., Rolski, T., & Sheahan, R.
Affiliations
  • Aarhus University (DK)
  • University of Southern Maine (US)
  • University of Connecticut (US)
  • University of Wrocław (PL)
Venue
Mathematics of Operations Research
Published
2008-11
Volume
33
Issue
4
Pages
932-944
ISSN
  • 0364-765X (ISSN-L)
  • 1526-5471
OpenAlex
W2128919822
Cited by
60
References
0
Citations by year
2024: 5 · 2022: 1 · 2020: 2 · 2019: 1 · 2018: 2 · 2017: 2 · 2016: 4 · 2015: 8 · 2014: 3 · 2013: 6 · 2012: 6
FWCI
12.91
Type
journal article
Language
en
Open access
Locations
  • Mathematics of Operations Research (publishedVersion)
  • arXiv (Cornell University) (submittedVersion)
  • arXiv (Cornell University)
Topics
  • Social Sciences › Decision Sciences › Management Science and Operations Research › Advanced Queuing Theory Analysis
  • Social Sciences › Decision Sciences › Management Science and Operations Research › Probability and Risk Models
  • Physical Sciences › Engineering › Safety, Risk, Reliability and Quality › Reliability and Maintenance Optimization
Keywords
task failure, heavy-tailed distributions, asymptotic analysis, integral asymptotics, Tauberian theorems, checkpointing

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