Gigascope: a stream database for network applications

By C. Cranor, Theodore Johnson, Oliver Spatscheck, Vladislav Shkapenyuk. ACM SIGMOD Conference, 2003

834 citations recorded by the source corpus.

Subfields: Artificial Intelligence, Computer Networks and Communications, Signal Processing

View Paper: https://www.semanticscholar.org/paper/a5881da1c592ea11d24f90992f5b210beaa3ea73

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Citations in the corpus

On the Security of Machine Learning in Malware C&C Detection (2016, methodology): “Alternatively, standalone measurement devices observing trafﬁc via network mirroring devices or splitters (optical or electrical) are more ﬂexible than in-router methods [Cranor et al. 2003].”
Space efficient mining of multigraph streams (2005, neutral): “PODS 2005 June 13-15, 2005, Baltimore, Maryland.”
Streaming Pattern Discovery in Multiple Time-Series (2005, methodology): “Data stream systems have been prototyped [1, 29, 9] and deployed in practice [11].”
Semantics and evaluation techniques for window aggregates in data streams (2005, background): “to express almost all stream window aggregate queries we have seen [5, 15].”
MacroBase: Prioritizing Attention in Fast Data (2016, methodology): “In designing a specialized engine, we were inspired by several past projects, including Gigascope (specialized for network monitoring) [28], WaveScope (specialized for signal processing) [36], MCDB (specialized for Monte Carlo-based operators) [52], and Bismarck (providing extensible aggregation for”
Accurate, scalable in-network identification of p2p traffic using application signatures (2004, methodology): “In addition to the real-time P2P detection task we also used Gigascope to collect large datasets for our accuracy evaluation as discussed in Section 7.”
Sonata: query-driven streaming network telemetry (2018, methodology): “Existing telemetry systems that process all packets at the stream processor such as Chimera [7], Gigascope [10], OpenSOC [40], and NetQRE [58] can express a range of queries but can only support lower packet rates because the stream processor ultimately processes all results.”
Graph summarization with bounded error (2008, background): “however, can be large – it has been reported in [7] that the AT&T IP backbone network alone generates 500 GB of IP flow data per day (about ten billion fifty-byte records).”
The CQL continuous query language: semantic foundations and query execution (2006, methodology): “GSQL is a SQL-like query language developed for Gigascope, a DSMS designed specifically for network monitoring applications [21].”
Data streaming algorithms for efficient and accurate estimation of flow size distribution (2004, methodology): “The first set comprises of two packet header traces obtained from a tier-1 ISP backbone, collected by a Gigascope server [17] on a high speed link leaving a data center in October, 2003.”
Fault-tolerance in the Borealis distributed stream processing system (2005, background): “Much work has been done on data models and operators [1, 6, 16, 28, 41], efficient processing [7, 8, 12, 30], and resource management [13, 17, 30, 35, 38] for SPEs.”
MacroBase: Analytic Monitoring for the Internet of Things (2016, methodology): “Base, dataﬂow is a means to an end rather than an end in itself. In designing a specialized engine, we were inspired by several past projects, including Gigascope (specialized for network monitoring) [28], WaveScope (specialized for signal processing) [36], MCDB (specialized for Monte Carlo-based op”
Building a better NetFlow (2004, neutral): “Thus it is no surprise that Cisco’s NetFlow [24] (and other compatible (cid:13)ow measurement solutions implemented by major router manufacturers, some under standardization by IETF [5, 6, 4]) are widely deployed and constitute the most popular way of measuring the composition of network…”
The nature of data center traffic: measurements & analysis (2009, background): “Deep packet inspection: Much research mitigates the costs of packetinspectionathighspeed[11, 13 ] but fewcommercialdevices support these across production switch and router interfaces.”