On the optimal checkpointing of critical tasks and transaction-oriented systems

Level of confidence evaluation and its usage for Roll-back Recovery with Checkpointing optimization

“…RRC has been the subject of research for both non-real-time [1], [2] [3], [4] and real-time systems [5], [6], [7], [8], [9]. While for non-real-time systems, it is important to minimize the average execution time when RRC is applied, it is for real-time systems important to maximize the probability that a job meets a given deadline, [10].…”

Min-max checkpoint placement under incomplete failure information

“…Baccelli [1], Chandy et al [5,6], Dohi et al [9], Gelenbe and Derochette [12], Gelenbe [13], Gelenbe and Hernandez [14], Goes and Sumita [15], Grassi et al [16], Kulkarni et al. [17], Nicola and Van Spanje [20], Sumita et al [23] propose performance evaluation models for database recovery, and calculate the optimal checkpoint intervals which maximize the system availability or minimize the mean overhead during the normal operation.…”

The Optimal Age-Dependent Checkpoint Strategy for a Stochastic System Subject to General Failure Mode

“…Chandy et al [2,3], Gelenbe and Derochette [4], Gelenbe [5], Grassi et al [9], Kulkarni et al [10], and Nicola and Van Spanje [11] proposed performance evaluation models for database recovery and calculated the optimal checkpoint intervals which maximize and minimize the system availability and the mean overhead during the normal operation, respectively. Toueg and Babaoglu [13] derived a dynamic programming alogrithm which minimizes expected execution times of tasks placing checkpoints between two consecutive tasks under very general assumptions.…”