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Gigascope: a stream database for network applications

Cranor, Chuck, Johnson, Theodore, Spataschek, Oliver, Shkapenyuk, Vladislav·2003·Proceedings of the 2003 ACM SIGMOD international conference on Management of data

Abstract

We have developed Gigascope, a stream database for network applications including traffic analysis, intrusion detection, router configuration analysis, network research, network monitoring, and performance monitoring and debugging. Gigascope is undergoing installation at many sites within the AT&T network, including at OC48 routers, for detailed monitoring. In this paper we describe our motivation for and constraints in developing Gigascope, the Gigascope architecture and query language, and performance issues. We conclude with a discussion of stream database research problems we have found in our application.

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Metadata

Authors
Cranor, C., Johnson, T., Spataschek, O., & Shkapenyuk, V.
Venue
Proceedings of the 2003 ACM SIGMOD international conference on Management of data
Publisher
ACM
Published
2003-06-09
Pages
647-651
ISSN
0730-8078 (ISSN-L)
OpenAlex
W2144261930
Cited by
687
References
2
FWCI
23.63
Type
conference paper
Language
en
Open access
closed

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CoChat. (2026). Citation check: Gigascope: a stream database for network applications. https://app.cochat.ai/papers/10.1145/872757.872838
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Cranor, C., Johnson, T., Spataschek, O., & Shkapenyuk, V. (2003). Gigascope: a stream database for network applications. Proceedings of the 2003 ACM SIGMOD international conference on Management of data. https://doi.org/10.1145/872757.872838

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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.