JASS: A Tunable Checkpointing System for NVM-Based Systems
Akshin Singh, Smruti R. Sarangi · 2023
Checkpointing (or snapshotting) a system's state has always been a problem of great interest and has found a lot of use in ensuring system reliability, record-replay debugging, job migration and running high-throughput transaction systems. In the last few years ultra-fast hardware-assisted NVM-based checkpointing schemes have come up that can collect incremental full-system checkpoints in milliseconds. Unfortunately, such systems have large overheads in terms of their write amplification (increased number of writes). This, in turn, seriously reduces the reliability and lifetime of NVM devices. We propose the first tunable scheme in this space, JASS, where given a checkpoint latency (CL), we near-optimally minimize the write amplification (WA). This allows us to run parallel programs in a disciplined fashion. To realize this goal, we propose many novel hardware along the way such as a rigorous method of flushing pre-checkpoint messages in the NoC, a novel DRAM scrubber and locality predictor, and a control-theoretic algorithm to guarantee a CL while minimizing the WA. We reduce WA by 35-96% as compared to the nearest state-of-the-art competing method and improve performance of PARSEC benchmarks hv 19.4%.