Unifying serverless and microservice workloads with SigmaOS

Many cloud applications use both serverless functions, for bursts of stateless parallel computation, and container orchestration, for long-running microservices and tasks that need to interact. Ideally a single platform would offer the union of these systems' capabilities, but neither is sufficient to act as that single platform: serverless functions are lightweight but cannot act as servers with long-term state, while container orchestration offers general-purpose computation but instance start-up takes too long to support burst parallelism.

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Publication Details

Published
2024-11-04
DOI
https://doi.org/10.1145/3694715.3695947
Citations
9
Primary Topic
Software System Performance and Reliability
Type
article
Field-Weighted Citation Impact
3.14
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article

Unifying serverless and microservice workloads with SigmaOS

Ariel Szekely, Adam Belay, Robert Morris, M. Frans Kaashoek
9 citations
Software System Performance and Reliability
3.14
article

Unifying serverless and microservice workloads with SigmaOS

Ariel Szekely, Adam Belay, Robert Morris, M. Frans Kaashoek
article en
9 citations

Abstract

Many cloud applications use both serverless functions, for bursts of stateless parallel computation, and container orchestration, for long-running microservices and tasks that need to interact. Ideally a single platform would offer the union of these systems' capabilities, but neither is sufficient to act as that single platform: serverless functions are lightweight but cannot act as servers with long-term state, while container orchestration offers general-purpose computation but instance start-up takes too long to support burst parallelism.

IIT@MIT (US)
Industry, innovation and infrastructure
Openalex Percentile: Top 8%
Software System Performance and Reliability
3.14
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