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Serverless Computing: One Step Forward, Two Steps Back

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arxiv 1812.03651 v1 pith:O6W5YVSF submitted 2018-12-10 cs.DC cs.DB

Joseph M. Hellerstein , Jose Faleiro , Joseph E. Gonzalez , Johann Schleier-Smith , Vikram Sreekanti , Alexey Tumanov , Chenggang Wu This is my paper · ORCID
classification cs.DCcs.DB
keywords computingserverlesspotentialautoscalingcloudcurrentgapsinnovation
verification ladder T0 review T1 audit T2 compute T3 formal
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Serverless computing offers the potential to program the cloud in an autoscaling, pay-as-you go manner. In this paper we address critical gaps in first-generation serverless computing, which place its autoscaling potential at odds with dominant trends in modern computing: notably data-centric and distributed computing, but also open source and custom hardware. Put together, these gaps make current serverless offerings a bad fit for cloud innovation and particularly bad for data systems innovation. In addition to pinpointing some of the main shortfalls of current serverless architectures, we raise a set of challenges we believe must be met to unlock the radical potential that the cloud---with its exabytes of storage and millions of cores---should offer to innovative developers.

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Cited by 3 Pith papers

Reviewed papers in the Pith corpus that reference this work. Sorted by Pith novelty score. Full citation record

  1. Truffle: Efficient Data Passing for Data-Intensive Serverless Workflows in the Edge-Cloud Continuum

    cs.DC 2024-11 conditional novelty 6.0 of 10

    Overlapping data transfer with serverless cold starts reduces function execution time by up to 46% in the authors' test workflows.

  2. Dynamic Function Configuration and its Management in Serverless Computing: A Taxonomy and Future Directions

    cs.SE 2025-10 conditional novelty 5.0 of 10

    A taxonomy and literature review of FaaS function resource configuration, organizing prior work by workload model, deployment environment, KPIs, resource targets, and configuration strategy.

  3. GoldFish: Serverless Actors with Short-Term Memory State for the Edge-Cloud Continuum

    cs.DC 2024-12 conditional novelty 5.0 of 10

    GoldFish introduces a WebAssembly-based serverless actor platform with short-term in-memory state and actor-controlled message queuing, claiming up to 92% lower latency and 10x higher throughput than OpenFaaS and Spin.

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