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- W2962866832 abstract "Serverless architectures organized around loosely-coupled function invocations represent an emerging design for many applications. Recent work mostly focuses on user-facing products and event-driven processing pipelines. In this paper, we explore a completely different part of the application space and examine the feasibility of analytical processing on big data using a serverless architecture. We present Flint, a prototype Spark execution engine that takes advantage of AWS Lambda to provide a pure pay-as-you-go cost model. With Flint, a developer uses PySpark exactly as before, but without needing an actual Spark cluster. We describe the design, implementation, and performance of Flint, along with the challenges associated with serverless analytics." @default.
- W2962866832 created "2019-07-30" @default.
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- W2962866832 date "2018-07-01" @default.
- W2962866832 modified "2023-10-17" @default.
- W2962866832 title "Serverless Data Analytics with Flint" @default.
- W2962866832 cites W2591324491 @default.
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- W2962866832 doi "https://doi.org/10.1109/cloud.2018.00063" @default.
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