On the self-similar nature of Ethernet traffic
SIGCOMM '93 Conference proceedings on Communications architectures, protocols and applications
Wide area traffic: the failure of Poisson modeling
IEEE/ACM Transactions on Networking (TON)
Window-aware load shedding for aggregation queries over data streams
VLDB '06 Proceedings of the 32nd international conference on Very large data bases
Window query processing for joining data streams with relations
CASCON '07 Proceedings of the 2007 conference of the center for advanced studies on Collaborative research
Staying FIT: efficient load shedding techniques for distributed stream processing
VLDB '07 Proceedings of the 33rd international conference on Very large data bases
Distributed and Parallel Databases
SOLE: scalable on-line execution of continuous queries on spatio-temporal data streams
The VLDB Journal — The International Journal on Very Large Data Bases
Clustersheddy: load shedding using moving clusters over spatio-temporal data streams
DASFAA'07 Proceedings of the 12th international conference on Database systems for advanced applications
Location-Aware Mobile Intrusion Detection with Enhanced Privacy in a 5G Context
Wireless Personal Communications: An International Journal
UpStream: storage-centric load management for streaming applications with update semantics
The VLDB Journal — The International Journal on Very Large Data Bases
Using control theory to guide load shedding in medical data stream management system
ASIAN'05 Proceedings of the 10th Asian Computing Science conference on Advances in computer science: data management on the web
Buffer-preposed qos adaptation framework and load shedding techniques over streams
WISE'06 Proceedings of the 7th international conference on Web Information Systems
Associated load shedding strategies for computing multi-joins in sensor networks
DASFAA'06 Proceedings of the 11th international conference on Database Systems for Advanced Applications
Ariadne: managing fine-grained provenance on data streams
Proceedings of the 7th ACM international conference on Distributed event-based systems
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Many of the data sources used in stream query processing are known to exhibit bursty behavior. Data in a burst often has different characteristics than steady-state data, and therefore may be of particular interest. In this paper, we describe the Data Triage architecture that we are adding to TelegraphCQ to provide low latency results with good accuracy under such bursts.