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SEDA: an architecture for well-conditioned, scalable internet services

Welsh, Matt, Culler, David, Brewer, Eric·2001·Proceedings of the eighteenth ACM symposium on Operating systems principles

Abstract

We propose a new design for highly concurrent Internet services, which we call the staged event-driven architecture (SEDA). SEDA is intended to support massive concurrency demands and simplify the construction of well-conditioned services. In SEDA, applications consist of a network of event-driven stages connected by explicit queues. This architecture allows services to be well-conditioned to load, preventing resources from being overcommitted when demand exceeds service capacity. SEDA makes use of a set of dynamic resource controllers to keep stages within their operating regime despite large fluctuations in load. We describe several control mechanisms for automatic tuning and load conditioning, including thread pool sizing, event batching, and adaptive load shedding. We present the SEDA design and an implementation of an Internet services platform based on this architecture. We evaluate the use of SEDA through two applications: a high-performance HTTP server and a packet router for the Gnutella peer-to-peer file sharing network. These results show that SEDA applications exhibit higher performance than traditional service designs, and are robust to huge variations in load.

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Metadata

Authors
Welsh, M., Culler, D., & Brewer, E.
Venue
Proceedings of the eighteenth ACM symposium on Operating systems principles
Publisher
ACM
Published
2001-10-21
Pages
230-243
OpenAlex
W2126022651
Cited by
834
References
0
FWCI
21.68
Type
conference paper
Language
en
Open access
closed

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CoChat. (2026). Citation check: SEDA: an architecture for well-conditioned, scalable internet services. https://app.cochat.ai/papers/10.1145/502034.502057
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Welsh, M., Culler, D., & Brewer, E. (2001). SEDA: an architecture for well-conditioned, scalable internet services. Proceedings of the eighteenth ACM symposium on Operating systems principles. https://doi.org/10.1145/502034.502057

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.