Stateful Serverless Computing with <scp>Crucial</scp>
نویسندگان
چکیده
Serverless computing greatly simplifies the use of cloud resources. In particular, Function-as-a-Service (FaaS) platforms enable programmers to develop applications as individual functions that can run and scale independently. Unfortunately, require fine-grained support for mutable state synchronization, such machine learning (ML) scientific computing, are notoriously hard build with this new paradigm. work, we aim at bridging gap. We present Crucial , a system program highly-parallel stateful serverless applications. retains simplicity computing. It is built upon key insight FaaS resembles concurrent programming datacenter. Accordingly, distributed shared memory layer natural answer needs management synchronization. allows port effortlessly multi-threaded code base serverless, where it benefit from scalability pay-per-use model platforms. validate help micro-benchmarks by considering various Beyond classical parallel tasks (e.g., Monte Carlo simulation), these include representative ML algorithms k -means logistic regression. Our evaluation shows obtains superior or comparable performance Apache Spark similar cost (18%–40% faster). also (part of) state-of-the-art library serverless. The ported application up 30% faster than dedicated high-end server. Finally, attest rival in single-machine, implementation complex coordination problem. Overall, delivers all benefits less 6% changes bases evaluated
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ژورنال
عنوان ژورنال: ACM Transactions on Software Engineering and Methodology
سال: 2022
ISSN: ['1049-331X', '1557-7392']
DOI: https://doi.org/10.1145/3490386