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https://doi.org/10.1109/mascot...
Other literature type . Conference object . 2020
License: IEEE Copyright
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Optimum Checkpoints for Time and Energy

Authors: Erol Gelenbe; Pawel Boryzsko; Miltiadis Siavvas; Joanna Domanska;

Optimum Checkpoints for Time and Energy

Abstract

We study programs which operate in the presence of possible failures and which must be restarted from the beginning after each failure. In such systems checkpointsare introduced to reduce the large costs of program restarts when failures occur. Here we suggest that checkpoints should be introduced in a manner which assures effective reliability, while reducing both the computational overhead as much as possible, but also to save energy. We compute the total average program execution time in the presence of checkoints so as to limit the re-execution time of the program from the most recent checkpoint. We also study the total energy cnsumption of the program under the same conditions, and formulate an optimization problem to minimize a wighted sum of both average computation time and energy. This approach is placed in the context of Application Level Checkpointing and Restart (ALCR). We then focus on checkpoints placed at the beginning of a loop, and derive the optimum placement of checkpoints to minimize a weighted combination of the program's execution time and energy consumption. Numerical results are presented to illustrate the analysis. Finally we describe a software tool with a graphical interface that has been designed to assist a system designer in choosing the optimum checkpoint for a given program as a function of different failure rates and other parameters.

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Microsoft Academic Graph classification: Optimization problem business.industry Computer science Reliability (computer networking) Context (language use) Energy consumption User interface business Energy (signal processing) Software quality Graphical user interface Reliability engineering

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  • citations
    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    3
    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Top 10%
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    Average
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Average
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visibility
download
citations
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
views
OpenAIRE UsageCountsViews provided by UsageCounts
downloads
OpenAIRE UsageCountsDownloads provided by UsageCounts
3
Top 10%
Average
Average
36
26
Funded by
EC| SDK4ED
Project
SDK4ED
Software Development toolKit for Energy optimization and technical Debt elimination
  • Funder: European Commission (EC)
  • Project Code: 780572
  • Funding stream: H2020 | RIA
Validated by funder
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