Advanced

Clustered checkpointing: Maximizing the level of confidence for non-equidistant checkpointing

Nikolov, Dimitar LU and Larsson, Erik LU (2016) In Integration, the VLSI Journal
Abstract
Employing fault tolerance often introduces a time overhead, which may cause a deadline violation in real-time systems (RTS). Therefore, for RTS it is important to optimize the fault tolerance techniques such that the probability to meet the deadlines, i.e. the Level of Confidence (LoC), is maximized. Previous studies have focused on evaluating the LoC for equidistant checkpointing. However, no studies have addressed the problem of evaluating the LoC for non-equidistant checkpointing. In this work, we provide an expression to evaluate the LoC for non-equidistant checkpointing. Further, we detail an exhaustive search approach to find the distribution of a given number of checkpoints that results in the maximal LoC. Since the exhaustive... (More)
Employing fault tolerance often introduces a time overhead, which may cause a deadline violation in real-time systems (RTS). Therefore, for RTS it is important to optimize the fault tolerance techniques such that the probability to meet the deadlines, i.e. the Level of Confidence (LoC), is maximized. Previous studies have focused on evaluating the LoC for equidistant checkpointing. However, no studies have addressed the problem of evaluating the LoC for non-equidistant checkpointing. In this work, we provide an expression to evaluate the LoC for non-equidistant checkpointing. Further, we detail an exhaustive search approach to find the distribution of a given number of checkpoints that results in the maximal LoC. Since the exhaustive search approach is very time-consuming, we propose the Clustered Checkpointing method, a heuristic that distributes checkpoints in a number of clusters with the goal to maximize the LoC. The results show that the LoC can be improved when non-equidistant checkpointing is used. Further, the results indicate that the proposed Clustered Checkpointing method is capable to find the distribution that results in the maximal LoC in much shorter time than the exhaustive search approach, while considering only few clusters. (Less)
Please use this url to cite or link to this publication:
author
organization
publishing date
type
Contribution to journal
publication status
epub
subject
keywords
Fault tolerance , Reliability analysis , Real-time systems , Checkpointing
in
Integration, the VLSI Journal
publisher
Elsevier
external identifiers
  • scopus:85009754351
  • wos:000405052700058
ISSN
0167-9260
DOI
10.1016/j.vlsi.2016.10.013
language
English
LU publication?
yes
id
0161c14b-764c-48f2-8431-c0cd799707af
date added to LUP
2017-02-14 13:53:50
date last changed
2017-09-18 11:32:16
@article{0161c14b-764c-48f2-8431-c0cd799707af,
  abstract     = {Employing fault tolerance often introduces a time overhead, which may cause a deadline violation in real-time systems (RTS). Therefore, for RTS it is important to optimize the fault tolerance techniques such that the probability to meet the deadlines, i.e. the Level of Confidence (LoC), is maximized. Previous studies have focused on evaluating the LoC for equidistant checkpointing. However, no studies have addressed the problem of evaluating the LoC for non-equidistant checkpointing. In this work, we provide an expression to evaluate the LoC for non-equidistant checkpointing. Further, we detail an exhaustive search approach to find the distribution of a given number of checkpoints that results in the maximal LoC. Since the exhaustive search approach is very time-consuming, we propose the Clustered Checkpointing method, a heuristic that distributes checkpoints in a number of clusters with the goal to maximize the LoC. The results show that the LoC can be improved when non-equidistant checkpointing is used. Further, the results indicate that the proposed Clustered Checkpointing method is capable to find the distribution that results in the maximal LoC in much shorter time than the exhaustive search approach, while considering only few clusters.},
  author       = {Nikolov, Dimitar and Larsson, Erik},
  issn         = {0167-9260},
  keyword      = {Fault tolerance ,Reliability analysis ,Real-time systems ,Checkpointing},
  language     = {eng},
  month        = {10},
  publisher    = {Elsevier},
  series       = {Integration, the VLSI Journal},
  title        = {Clustered checkpointing: Maximizing the level of confidence for non-equidistant checkpointing},
  url          = {http://dx.doi.org/10.1016/j.vlsi.2016.10.013},
  year         = {2016},
}