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Hyperion: High Volume Stream Archival for Retrospective Querying

Network monitoring systems that support data archiving and after-the-fact (retrospective) queries are useful for a multitude of purposes, such as anomaly detection and network and security forensics. Data archiving for such systems, however, is complicated by (a) data arrival rates, which may be hundreds of thousands of packets per second on a single link, and (b) the need for online indexing of this data to support retrospective queries. At these data rates, both common database index structures and general-purpose file systems perform poorly.

This paper describes Hyperion, a system for archiving, indexing, and on-line retrieval of high-volume data streams. We employ a write-optimized stream file system for high-speed storage of simultaneous data streams, and a novel use of signature file indexes in a distributed multi-level index.

We implement Hyperion on commodity hardware and conduct a detailed evaluation using synthetic data and real network traces. Our streaming file system, StreamFS, is shown to be fast enough to archive traces at over a million packets per second. The index allows queries over hours of data to complete in as little as 10-20 seconds, and the entire system is able to index and archive over 200,000 packets/sec while processing simultaneous on-line queries.

Peter Desnoyers, University of Massachusetts

Prashant Shenoy, University of Massachusetts

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BibTeX
@inproceedings {268611,
author = {Peter Desnoyers and Prashant Shenoy},
title = {Hyperion: High Volume Stream Archival for Retrospective Querying },
booktitle = {2007 USENIX Annual Technical Conference (USENIX ATC 07)},
year = {2007},
address = {Santa Clara, CA},
url = {https://www.usenix.org/conference/2007-usenix-annual-technical-conference/hyperion-high-volume-stream-archival},
publisher = {USENIX Association},
month = jun
}
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Paper: 
http://usenix.org/events/usenix07/tech/desnoyers/desnoyers.pdf
Paper (HTML): 
http://usenix.org/events/usenix07/tech/desnoyers/desnoyers_html/index.html
Slides: 
http://usenix.org/media/events/usenix07/tech/mp3/desnoyers/desnoyers.mp3
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