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</script>Checkpointing is commonly adopted for enhancing the performance of software applications that operate in the presence of failures. Among the existing checkpointing strategies, Application-level Checkpoint and Restart (ALCR) is considered the most efficient, since it leaves smaller memory footprint, but it requires significant development effort. Although existing ALCR tools and libraries manage to reduce the effort required for implementing the checkpoints, they do not provide recommendations regarding their inter-checkpoint interval. To this end, in the present paper, we develop a mathematical model to estimate the optimum checkpoint interval, i.e., the interval between two successive checkpoints that minimises the average execution time of the application. The case of programs with loops and nested loops is also discussed. The results are illustrated with several numerical examples.
Application Level Checkpoints, Software Reliability, Roll- Back Recovery, Optimum Checkpoints, Program Loops, Cloud Computing
Application Level Checkpoints, Software Reliability, Roll- Back Recovery, Optimum Checkpoints, Program Loops, Cloud Computing
| 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). | 12 | |
| 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. | Top 10% |
| views | 5 | |
| downloads | 15 |

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