Imperial College London
Alternate

ProfessorWilliamKnottenbelt

Faculty of Engineering, Department of Computing

Professor of Applied Quantitative Analysis
 
 
 
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Contact

 

+44 (0)20 7594 8331w.knottenbelt Website

 
 
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Location

 

E363ACE ExtensionSouth Kensington Campus

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Summary

 

Publications

Citation

BibTex format

@inbook{Wolter:2020:10.1142/9789811214578_0007,
author = {Wolter, K and Pesu, T and van, Moorsel A and Knottenbelt, WJ},
booktitle = {Handbook Of Software Aging And Rejuvenation: Fundamentals, Methods, Applications, And Future Directions},
doi = {10.1142/9789811214578_0007},
pages = {155--194},
title = {Black-box models for restart, reboot and rejuvenation},
url = {http://dx.doi.org/10.1142/9789811214578_0007},
year = {2020}
}
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RIS format (EndNote, RefMan)

TY  - CHAP
AB  - This chapter discusses black-box models for retries, where no distinction is made between the purpose of the retry. Retries can be used as restart, to improve userobserved performance, as reboot, for fault-tolerance, or as rejuvenation, to treat the aging of the system. The chapter derives stochastic models and shows the results we obtained for optimising moments of the user-observed job completion time as well as the probability of meeting a deadline. The second part of the chapter provides a review of the literature in this area of the past decade. The chapter closes with a discussion of open problems.
AU  - Wolter,K
AU  - Pesu,T
AU  - van,Moorsel A
AU  - Knottenbelt,WJ
DO  - 10.1142/9789811214578_0007
EP  - 194
PY  - 2020///
SN  - 9789811214578
SP  - 155
TI  - Black-box models for restart, reboot and rejuvenation
T1  - Handbook Of Software Aging And Rejuvenation: Fundamentals, Methods, Applications, And Future Directions
UR  - http://dx.doi.org/10.1142/9789811214578_0007
ER  -
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