Modelling Fault Dependencies when Execution Time Budgets are Exceeded

David Griffin; Benjamin Lesage; Frank Soboczenski; Iain Bate; Robert I. Davis

Modelling Fault Dependencies when Execution Time Budgets are Exceeded

David Griffin, Benjamin Lesage, Frank Soboczenski, Iain Bate, Robert I. Davis

Population Health Sciences

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

Abstract

Given that real-time systems are specified to a degree of confidence, budget overruns should be expected to occur in a system at some point. When a budget overrun occurs, it is necessary to understand how long such a state persists, in order to determine if the fault tolerance of the system is adequate to handle the problem. However, given the rarity of budget overruns in testing, it cannot be assumed that sufficient data will be available to build an accurate model. Hence this paper presents a new application of Markov Chain based modelling techniques combined with forecasting techniques to determine an appropriate fault model, using Lossy Compression to fit the model to the available data. In addition, a new algorithm, DepET, for generating job execution times with dependencies is given for use in task simulators.

Original language	English
Title of host publication	Proceedings of the 23rd International Conference on Real Time and Networks Systems - RTNS ’15
Publisher	Association for Computing Machinery
Pages	65-74
ISBN (Print)	9781450335911
Publication status	Published - Nov 2015

Cite this

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title = "Modelling Fault Dependencies when Execution Time Budgets are Exceeded",

abstract = "Given that real-time systems are specified to a degree of confidence, budget overruns should be expected to occur in a system at some point. When a budget overrun occurs, it is necessary to understand how long such a state persists, in order to determine if the fault tolerance of the system is adequate to handle the problem. However, given the rarity of budget overruns in testing, it cannot be assumed that sufficient data will be available to build an accurate model. Hence this paper presents a new application of Markov Chain based modelling techniques combined with forecasting techniques to determine an appropriate fault model, using Lossy Compression to fit the model to the available data. In addition, a new algorithm, DepET, for generating job execution times with dependencies is given for use in task simulators.",

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Modelling Fault Dependencies when Execution Time Budgets are Exceeded. / Griffin, David; Lesage, Benjamin; Soboczenski, Frank et al.
Proceedings of the 23rd International Conference on Real Time and Networks Systems - RTNS ’15. Association for Computing Machinery, 2015. p. 65-74.

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

TY - CHAP

T1 - Modelling Fault Dependencies when Execution Time Budgets are Exceeded

AU - Griffin, David

AU - Lesage, Benjamin

AU - Soboczenski, Frank

AU - Bate, Iain

AU - Davis, Robert I.

PY - 2015/11

Y1 - 2015/11

N2 - Given that real-time systems are specified to a degree of confidence, budget overruns should be expected to occur in a system at some point. When a budget overrun occurs, it is necessary to understand how long such a state persists, in order to determine if the fault tolerance of the system is adequate to handle the problem. However, given the rarity of budget overruns in testing, it cannot be assumed that sufficient data will be available to build an accurate model. Hence this paper presents a new application of Markov Chain based modelling techniques combined with forecasting techniques to determine an appropriate fault model, using Lossy Compression to fit the model to the available data. In addition, a new algorithm, DepET, for generating job execution times with dependencies is given for use in task simulators.

AB - Given that real-time systems are specified to a degree of confidence, budget overruns should be expected to occur in a system at some point. When a budget overrun occurs, it is necessary to understand how long such a state persists, in order to determine if the fault tolerance of the system is adequate to handle the problem. However, given the rarity of budget overruns in testing, it cannot be assumed that sufficient data will be available to build an accurate model. Hence this paper presents a new application of Markov Chain based modelling techniques combined with forecasting techniques to determine an appropriate fault model, using Lossy Compression to fit the model to the available data. In addition, a new algorithm, DepET, for generating job execution times with dependencies is given for use in task simulators.

M3 - Conference paper

SN - 9781450335911

SP - 65

EP - 74

BT - Proceedings of the 23rd International Conference on Real Time and Networks Systems - RTNS ’15

PB - Association for Computing Machinery

ER -

Modelling Fault Dependencies when Execution Time Budgets are Exceeded

Abstract

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