Level of Confidence Evaluation and Its Usage for Roll-back Recovery with Checkpointing Optimization
Nikolov, Dimitar LU ; Ingelsson, Urban ; Singh, Virendra and Larsson, Erik LU
(2011)
5th Workshop on Dependable and Secure Nanocomputing
p.59-64
- Abstract
- Increasing soft error rates for semiconductor devices manu- factured in later technologies enforces the use of fault tolerant techniques such as Roll-back Recovery with Checkpointing (RRC). However, RRC introduces time overhead that increases the completion (execution) time. For non-real-time systems, research have focused on optimizing RRC and shown that it is possible to find the optimal number of checkpoints such that the average execution time is minimal. While minimal average execution time is important, it is for real-time systems important to provide a high probability that deadlines are met. Hence, there is a need of probabilistic guarantees that jobs employing RRC complete before a given deadline. First, we present a mathematical... (More)
- Increasing soft error rates for semiconductor devices manu- factured in later technologies enforces the use of fault tolerant techniques such as Roll-back Recovery with Checkpointing (RRC). However, RRC introduces time overhead that increases the completion (execution) time. For non-real-time systems, research have focused on optimizing RRC and shown that it is possible to find the optimal number of checkpoints such that the average execution time is minimal. While minimal average execution time is important, it is for real-time systems important to provide a high probability that deadlines are met. Hence, there is a need of probabilistic guarantees that jobs employing RRC complete before a given deadline. First, we present a mathematical framework for the evaluation of level of confidence, the probability that a given deadline is met, when RRC is employed. Second, we present an optimization method for RRC that finds the number of checkpoints that results in the minimal completion time while the minimal com- pletion time satisfies a given level of confidence requirement. Third, we use the proposed framework to evaluate probabilistic guarantees for RRC optimization in non-real-time systems. (Less)
Please use this url to cite or link to this publication:
https://lup.lub.lu.se/record/2733979
- author
- Nikolov, Dimitar
LU
; Ingelsson, Urban
; Singh, Virendra
and Larsson, Erik
LU
- organization
- publishing date
- 2011
- type
- Chapter in Book/Report/Conference proceeding
- publication status
- published
- subject
- host publication
- 2011 IEEE/IFIP 41st International Conference on Dependable Systems and Networks Workshops (DSN-W)
- pages
- 6 pages
- publisher
- IEEE - Institute of Electrical and Electronics Engineers Inc.
- conference name
- 5th Workshop on Dependable and Secure Nanocomputing
- conference dates
- 2011-06-27
- external identifiers
-
- scopus:80052149078
- DOI
- 10.1109/DSNW.2011.5958836
- language
- English
- LU publication?
- no
- id
- 99398648-1840-4be2-b40d-2bc9bd3c96b1 (old id 2733979)
- date added to LUP
- 2016-04-04 11:52:14
- date last changed
- 2022-04-08 07:57:04
@inproceedings{99398648-1840-4be2-b40d-2bc9bd3c96b1,
abstract = {{Increasing soft error rates for semiconductor devices manu- factured in later technologies enforces the use of fault tolerant techniques such as Roll-back Recovery with Checkpointing (RRC). However, RRC introduces time overhead that increases the completion (execution) time. For non-real-time systems, research have focused on optimizing RRC and shown that it is possible to find the optimal number of checkpoints such that the average execution time is minimal. While minimal average execution time is important, it is for real-time systems important to provide a high probability that deadlines are met. Hence, there is a need of probabilistic guarantees that jobs employing RRC complete before a given deadline. First, we present a mathematical framework for the evaluation of level of confidence, the probability that a given deadline is met, when RRC is employed. Second, we present an optimization method for RRC that finds the number of checkpoints that results in the minimal completion time while the minimal com- pletion time satisfies a given level of confidence requirement. Third, we use the proposed framework to evaluate probabilistic guarantees for RRC optimization in non-real-time systems.}},
author = {{Nikolov, Dimitar and Ingelsson, Urban and Singh, Virendra and Larsson, Erik}},
booktitle = {{2011 IEEE/IFIP 41st International Conference on Dependable Systems and Networks Workshops (DSN-W)}},
language = {{eng}},
pages = {{59--64}},
publisher = {{IEEE - Institute of Electrical and Electronics Engineers Inc.}},
title = {{Level of Confidence Evaluation and Its Usage for Roll-back Recovery with Checkpointing Optimization}},
url = {{https://lup.lub.lu.se/search/files/5874317/2733983.pdf}},
doi = {{10.1109/DSNW.2011.5958836}},
year = {{2011}},
}