On the choice of checkpoint interval using memory usage profile and adaptive time series analysis

This paper presents a new checkpoint scheme that utilizes the memory usage profile and time series analysis for low-overhead checkpoint. The proposed checkpoint scheme checks current and future checkpoint overhead based on the on the changes of the memory size and the expected checkpoint overhead using memory profile and adaptive time series analysis when it decides whether or not to take a checkpoint. Unlike the previous works that do not utilize the memory usage profile, it is possible to reduce the total overhead of the execution time. We also present experimental results which show that the checkpoint overhead of the proposed scheme is reduced compared with the previously developed checkpoint scheme