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SIGMOD '99 Proceedings of the 1999 ACM SIGMOD international conference on Management of data
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SIGMOD '00 Proceedings of the 2000 ACM SIGMOD international conference on Management of data
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SIGMOD '01 Proceedings of the 2001 ACM SIGMOD international conference on Management of data
Models and issues in data stream systems
Proceedings of the twenty-first ACM SIGMOD-SIGACT-SIGART symposium on Principles of database systems
Continuously adaptive continuous queries over streams
Proceedings of the 2002 ACM SIGMOD international conference on Management of data
Bursty and hierarchical structure in streams
Proceedings of the eighth ACM SIGKDD international conference on Knowledge discovery and data mining
Approximate join processing over data streams
Proceedings of the 2003 ACM SIGMOD international conference on Management of data
Chain: operator scheduling for memory minimization in data stream systems
Proceedings of the 2003 ACM SIGMOD international conference on Management of data
Load Shedding for Aggregation Queries over Data Streams
ICDE '04 Proceedings of the 20th International Conference on Data Engineering
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Load Shedding for Aggregation Queries over Data Streams
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Static optimization of conjunctive queries with sliding windows over infinite streams
SIGMOD '04 Proceedings of the 2004 ACM SIGMOD international conference on Management of data
Operator scheduling in data stream systems
The VLDB Journal — The International Journal on Very Large Data Bases
RPJ: producing fast join results on streams through rate-based optimization
Proceedings of the 2005 ACM SIGMOD international conference on Management of data
Loadstar: load shedding in data stream mining
VLDB '05 Proceedings of the 31st international conference on Very large data bases
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Proceedings of the 2006 ACM SIGMOD international conference on Management of data
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Proceedings of the 2006 ACM SIGMOD international conference on Management of data
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VLDB '06 Proceedings of the 32nd international conference on Very large data bases
Window-aware load shedding for aggregation queries over data streams
VLDB '06 Proceedings of the 32nd international conference on Very large data bases
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VLDB '04 Proceedings of the Thirtieth international conference on Very large data bases - Volume 30
Staying FIT: efficient load shedding techniques for distributed stream processing
VLDB '07 Proceedings of the 33rd international conference on Very large data bases
ZELESSA: an enabler for real-time sensing, analysing and acting on continuous event streams
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SSPS '08 Proceedings of the 2nd international workshop on Scalable stream processing system
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APWeb/WAIM '09 Proceedings of the Joint International Conferences on Advances in Data and Web Management
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ADC '10 Proceedings of the Twenty-First Australasian Conference on Database Technologies - Volume 104
Fault injection-based assessment of partial fault tolerance in stream processing applications
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Associated load shedding strategies for computing multi-joins in sensor networks
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Information Systems
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Journal of Computer Security - DBSec 2011
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Systems for processing continuous monitoring queriesover data streams must be adaptive because data streamsare often bursty and data characteristics may vary overtime. In this paper, we focus on one particular type ofadaptivity: the ability to gracefully degrade performancevia "load shedding" (dropping unprocessed tuples to reducesystem load) when the demands placed on the systemcannot be met in full given available resources. Focusingon aggregation queries, we present algorithms that determineat what points in a query plan should load sheddingbe performed and what amount of load should be shed ateach point in order to minimize the degree of inaccuracyintroduced into query answers. We report the results of experimentsthat validate our analytical conclusions.