Daniel O’Keeffe

Abstract: 

The advent of byte-addressable non-volatile memory (NVM) technologies has enabled the development of low-latency high-throughput durable applications, i.e., applications that are capable of recovering from full-system crashes. However, programming such applications is error-prone as efficiency gains often require fine-grained (programmer-controlled) management of low-level persistence instructions. We propose Mangosteen, a high-level programming frame- work that allows developers to transform an existing lineariz- able in-memory application to a corresponding durably lin- earizable version using NVM. Our framework’s API consists of a set of callback hooks that interpose on an application’s request processing flow with minimal developer effort. Man- gosteen executes client operations on DRAM and persists their effects using binary instrumentation and redo logging. Mangosteen’s concurrency control facilitates batching of read- write requests to minimize the cost of persistence, while al- lowing read-only requests to execute concurrently. A novel intra-batch deduplication mechanism further reduces persis- tence overheads for common OLTP workloads. Our empirical evaluation results show that Mangosteen-enabled applications outperform state-of-the-art solutions across the entire spec- trum of read-write ratios. In particular, the Mangosteen-based version of Redis demonstrates throughput gains of between 2×–5× in comparison to prior work.

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